Research as a music career: a model for publication success
Nikita Bezrukov, version 1.0 (Jan 2026)
I have a general way of thinking about research in the humanities and social sciences that keeps proving useful, even though it is obviously imperfect. Doing research is a lot like being a career musician.
I mean it as a structural analogy that helps you reason about output, attention, risk, and career strategy. It also forces you to confront a question that academia rarely discusses openly: what does “success” even mean for a researcher, and how would you deliberately pursue it?
Papers as capital
I was talking with someone recently, a former classmate, who described their goal in a deliberately blunt way: publish ten peer-reviewed papers in top journals and live off the “dividends.” The phrasing is slightly comic, but it pushes you toward a clear framing.
Scholarly output behaves like capital. It accumulates, and it is convertible: into employment, grants, invitations, collaborations, mobility, and general professional visibility. The conversion mechanism differs from field to field, and it is not linear. But it exists. Treating output as convertible capital is, in my experience, a more accurate starting point than treating it as a purely intrinsic good whose external rewards should be expected to follow automatically.
That is already very close to how a musician’s catalog works. A musician makes songs; those songs are assets. The assets do not just sit there as “art,” they have downstream effects. A viral track changes who notices you, who calls you, who funds you, and what you get offered next.
The core idea is simple: output has value, and the value is convertible.
Why the streaming metaphor only half works
In music, the conversion into money is unusually legible now. You record a banger, it goes viral, people stream it, and streaming produces money. Sometimes the timing is bizarre. You might release a song that seems merely decent. Five years later, it becomes a TikTok sound, or some dance trend attaches to it, and suddenly it is a “banger” retroactively. You get a wave of listens that you could not have predicted at the time of release, and that wave produces revenue.
Academia does not work like that in any direct way. There is no streaming framework for academic writing. Your papers do not typically generate money as people “consume” them.
And there is an additional difference that matters more than people admit: we do not consume research output the way we consume music. Music is often listened to for pleasure, and pleasure invites repetition. If you love a song, you might listen to it an absurd number of times. That repetition is exactly what makes the streaming model viable.
Scholarly reading is usually not like that. Fiction is a closer analogue to music than science is. You read a book, you love it, you might reread it once or twice, maybe every year if you teach it. But even that teaching context is not a “natural” consumption context. It is a professional one.
In science and scholarship, rereading usually has a different motivation. I have, at any given moment, three or four or five “core” papers that matter for whatever I am writing. I reread them, but not because rereading is pleasurable. I reread them because they are structurally important to my own theoretical scaffolding. I need them.
So yes, the streaming metaphor breaks if you take it literally. But it still leaves behind the important part: output is capital, and the conversion of that capital is indirect and unpredictable.
The market of ideas and the problem of visibility
If papers do not generate money per read, what do they generate?
They generate visibility in a market of ideas. That market is real, and it has its own dynamics. In practice, the most important thing your work can do is become “there” whenever a topic is discussed. You publish something on a topic and, if it lands, then every time someone cites work in that area or tries to frame that conversation, your paper becomes one of the things they assume must be mentioned.
That sounds neat, but it is not automatic. It is closer to music than academics like to admit.
You can write a great song and have five people listen to it on repeat. That does not make it a global hit. A global hit usually requires some combination of timing and marketing resources. You need distribution. You need amplification. You need a wave.
It is the same in research. You can write something genuinely interesting and have it remain local. The field is a crowded attention economy. Visibility is not a moral reward for quality. It is a probabilistic outcome of quality plus timing plus audience fit plus distribution channels.
I think of it as a wave model. You publish the right paper at the right time. It gets cited, it gets noticed, people talk about it, and then it picks up more citations partly because it already has citations.
This is also why topic choice matters.
Choosing topics that can travel
If you care about publication success, you cannot treat topic choice as purely private preference. You can do that, of course, but then you should not be surprised by what happens. The choice of topic affects how easily your work can be seen, used, and cited.
My own intuition is that the safest high-yield strategy is what I would call “mid-size theory.” Do not try to propose an entire new architecture for the field, unless you already have the field-defining authority that makes people take that seriously. Revolutionary contributions happen, but the probability is low, and everyone knows it is low. You cannot just write “whatever,” declare it a revolution, and expect the discipline to reorganize itself around you.
Instead, make a meaningful extension. Make an important synthesis. Add a new mechanism, a new dataset, a new connection that is big enough to matter but not so total that it demands conversion at the level of worldview.
This is where a taboo phrase enters: fake it till you make it.
I do not mean “fake” your results. I mean something more mundane and more sociological. People often fake the size of their contributions. They fake the impression that they know exactly what they are doing. In a sense, it is an “anti-humble” posture. If you are too humble, you will lower yourself in a way that affects how others position you.
The logic is probabilistic. If you choose to think of yourself as a larger figure than you currently are, and you present your work as consequential rather than tentative, you raise the probability that others treat it as consequential. It is not magic. It is just how status and attention operate.
A tiered portfolio, not “more is better”
If research is like music, then you are your catalog. Your public identity is not your intentions, and it is not even your private sense of what your best work is. It is the body of work people can point to, remember, replay, and circulate.
From this perspective, building a catalog requires a tiered approach. “The more the merrier” does not capture how visibility and career outcomes work in markets of attention.
Tier A: the bangers
In music you have bangers. A banger is not necessarily the song that makes you happiest, or the one that best satisfies your most refined artistic standards. It is the song that makes you visible.
Think of a Spotify page. The top five tracks are the ones that define you for most listeners. They are the songs people encounter first. They are your public identity.
In research, Tier A papers function similarly. They are the papers that anchor your name to a live conversation. They are the ones that people cite when they frame a topic. They are the ones that give you a recognizable position.
Tier B and Tier C: specialized work and honest work
Then there are second-tier and third-tier songs, the ones that target smaller communities or more specific tastes. This is where many artists put their most honest work, or their most experimental work, or the work that satisfies their private standards more than the market’s standards.
In academia, Tier B can be smaller but still valuable contributions. You target a narrower audience. You make a modest extension. You write something that matters to a specific subcommunity.
This is not failure. You cannot produce bangers all the time. No musician does. If you try, you either burn out or you start making shallow work. A functioning catalog needs anchors and supporting material.
Why quantity still matters
In music, after you produce a banger and become famous, people invite you to perform. But you cannot perform a concert with one song. You need a set. You need dynamics and pacing. You need enough material to sustain the experience.
There is a vivid example of what happens when this fails. I remember a case in the Russian-language music scene: the group “Грибы” (“Mushrooms”) put out a very powerful EP, three or four songs that went extremely viral. They were invited everywhere. But the concert experience became frustrating because they basically had only those songs. They had to perform the same three tracks repeatedly, multiple times, because there was not enough else to fill the set. The performance lacked structure and progression. You could feel the thinness of the catalog.
In academia, the analogy is imperfect, yet the main structure carries over. You still need bangers: papers that anchor your visibility, define your position in a conversation, and make your name “there” whenever a topic comes up. At the same time, you can always target different audiences and produce more modest contributions aimed at narrower communities.
The tiered logic matters here too. People want to see that you can produce a range of outputs. They want to see quantity in a non-trivial sense: evidence of a sustained program rather than a single stroke of luck.
There is an additional twist in science that the concert analogy does not fully capture. In music, the demand is entertainment and experience. In research, when people look at your output, they are also looking for something like professional capacity: can you support others’ work, can you collaborate, can you participate in collective projects, can you reliably produce. So the “catalog” functions not only as a set list, but as evidence of the kind of colleague you are.
Even with that difference, the core point remains. Your output is your catalog. Your catalog needs Tier A anchors and lower-tier supporting work. Bangers matter, and a sustained body of work matters, because visibility and credibility are not generated by a single track alone.
Audience awareness is not optional
A banger is not produced in isolation. It requires audience awareness.
In music, you can publish whatever you want on Spotify. There is no intellectual gatekeeper in the same way as a journal editor. But that does not mean anything will happen. You still need listeners, and listeners are a specific population with tastes, channels, and habits.
In academia, the equivalent point is simple: you need a circle of people who you want to read your work. You cannot write as if no one exists on the other end.
You can decide to not care, of course. That is a legitimate lifestyle choice. But it is not compatible with a strategy that aims at visibility. It is the same tension as in music.
How do you write a banger?
Even in popular music, bangers are probabilistic. There is chemistry. There is chance. There is timing. Assume a baseline of competence. Assume you are not producing work that your target audience cannot even perceive as relevant. Even with that assumption, it still may not “click.”
And the tension is well known. Bangers can be simple. Bangers can be “tasteless” in a very particular sense. You might write something sophisticated and excellent, and it fails because it is not simple enough, not viral enough, not legible enough. Virality is its own constraint.
That tension leads naturally to the producer analogy.
Advising as producing, with a major incentive problem
The relationship between a musician and a producer is structurally similar to the relationship between a graduate student and an advisor.
A producer does not typically control everything an artist does. There are many arrangements, and some producers are more directive than others. Still, in a common setup, the producer’s role is closer to navigation than command. The producer helps the artist orient in the field, anticipate what will land, and refine output through feedback. The artist can also explicitly ask for help on particular problems, whether technical or strategic. The relationship is therefore partly guidance, partly critique, and partly an effort to improve the “product” without fully owning it.
In that sense, entering graduate school resembles signing with a label: you enter an institutional arrangement that places you in a network and gives you structured access to expertise, gatekeeping knowledge, and legitimacy.
But the analogy breaks sharply at incentives.
In music, the producer has an unusually clear, capitalistic incentive to push toward “bangers,” not merely toward “good music” in an abstract sense. The point is virality. Virality yields streams; streams yield revenue; revenue is shared. Under a typical contract logic (caricatured as something like a 30-70 split), everyone has an aligned reason to maximize the probability that a particular track becomes widely consumed. The producer’s interest in your success is not mysterious: it is built into the financial arrangement.
In academic advising, that clarity is absent. Advising does involve professionalism, and it often involves genuine affection for the work. In music, accomplished musicians frequently become producers because they love music and take the craft seriously; that love and professionalism also exist in academia. Many professors genuinely want to help students do strong work.
Still, the capitalistic differences are stark. It is often unclear what, concretely, the professor gains from advising in the way a producer gains from a hit record. This is why the analogy starts to feel weak at the level of incentives, even if it remains useful at the level of role structure.
One obvious candidate is prestige. Prestige can do a lot of work. Departments, advisors, and programs benefit when their students become visible and successful. There is also a nonlinearity story here that resembles label dynamics: labels are often judged by how many “stars” they produce, and people ask why a label produced one breakout act rather than several worldwide stars. That is an intelligible question in the music world because it connects to effort, strategy, and brand.
Academia has an analogue of this prestige logic, yet it does not convert in a direct monetary way. The returns are more diffuse: reputation, status, and professional standing. Those are real goods; they still feel less like a contractually enforced alignment of incentives.
So prestige helps explain why advising exists, although it does not fully explain why advising takes the specific form it takes.
A further complication is that academic advising is often entangled with a work relationship.
In many fields and departments, a “working relationship” with an advisor means the advisor needs something from you, and you spend substantial time producing labor that matters to the advisor’s projects. At the same time, you are also a student: you take classes, you use resources, you receive training, and you develop your own research agenda. That makes the arrangement inherently mixed.
Your transcript frames this through a rough financial calculus: in “real life” you might earn a much higher salary for full-time project work; in graduate school you earn less because the position is framed as partly compensated labor (RA/TA) and partly training and resource access (courses, infrastructure, insurance, office space). You can tell the story as “we pay you more and deduct the tuition-equivalent and resource costs,” or as “we pay you less because a large part of the value is training.” Regardless of which accounting story one prefers, the practical point remains: advising is not simply mentorship, and it is not simply employment. It is an institutional hybrid.
That hybrid nature changes the feel of the “producer” analogy. A label relationship in music can be closer to “pure guidance toward stardom,” even when exploitative. In academia, the advising relationship is harder to describe as pure guidance because it is embedded in labor structures and institutional budgeting.
The producer/artist friction and its academic twin
Imagine a rising star: a gifted artist or band that comes to a label with a clear sense of identity. They are not empty vessels. They already have a vision. They already have an MVP, a proof of concept: they know how to do something that works on some scale, and they have an intuition for what they want to become.
This is exactly the moment when producer involvement becomes both valuable and contentious. The producer is not simply teaching technique. The producer is helping position the artist inside a market.
The artist resists. This friction often crystallizes around a standard opposition: popular music versus less popular music.
Popular music is routinely treated as “bad” for a specific reason. It is seen as pleasing the masses: pleasing the average listener who is not deeply “into music,” who does not track sophistication or craft, and who rewards simplicity, catchiness, and immediate legibility. Popular music is also tied to virality. It can be designed, at least in part, to travel.
That is precisely why producers push in that direction. A producer’s job, in the label setting, is to maximize the odds that the artist becomes a star. If the producer’s incentives are tied to revenue and reputation, the producer will often steer the artist toward the pop end of the space, or toward more pop-like subgenres within the artist’s broader genre. The aim is straightforward: make the output maximally viral, maximally interesting to the largest audience.
The artist’s instinct is frequently to resist. The resistance has a recognizable form: “I am not here to become Britney Spears. I want to be a rock star.” In other words: I do not want my work to be optimized for the average listener. I want to stay faithful to my own taste, identity, and artistic standards. I want something closer to a masterpiece than a commodity.
The sober version of this conflict is probabilistic. It is not that one route makes masterpieces impossible. It is that the routes change odds. Popular, heavily produced, heavily marketed work has a higher probability of becoming widely visible. Niche work might still go viral. It might invent a new genre. It might become sexy to everyone. But the odds are lower.
In academia, the analogous tension concerns audience sensitivity.
A great deal of research culture trains people to treat “commercial attractiveness” or broad legibility as suspect. Many researchers are motivated by curiosity rather than visibility. There is a common hermit orientation: “leave me alone, give me space to read, let me learn something.” The satisfaction comes from understanding, problem solving, and intellectual control, not from attention.
From that perspective, audience optimization often feels like an acquired taste. Some people become good at it over time; some resist it on principle; some never even consider it a legitimate dimension of the work. Others are more “natural” at it, in the way a pop star can be “natural” at mass appeal.
You offered a useful contrast case from music: the explicit hustler mentality. Some artists say openly that the goal is visibility, full stop. They will do whatever it takes to become famous, regardless of whether outsiders respect the motivation. That posture exists in research too, though it is usually expressed less transparently and with more moral cover.
The deeper point is that research motivations are not uniform. People pursue inquiry for many reasons, and curiosity is a common one. So the producer-style push toward “make it legible, make it travel” does not always match what a researcher experiences as the point of the activity.
And academia almost never trains people to talk about this conflict directly.
The missing conversation: what is a “successful” researcher?
In practice, we rarely have a productive discussion about what it means to be a successful academic. We talk about publications as checkboxes. We talk about grants and jobs and prestige. But we do not talk openly about what kind of figure you want to be in the field, and how you want to influence it.
In music, the producer role makes those questions unavoidable. The producer explicitly thinks in terms of audience, market, and odds. In academia, absent explicit training or a producer-like figure who pushes those questions, the default strategy becomes simple: keep doing what you want to do.
Without explicit training, or without someone acting as a producer and asking these questions, the default strategy for an academic is usually: keep doing what you want to do.
For many people, that means staying inside an obsession. In my own case, imagine being intensely into Armenian. Why? There is no deep reason. It is just an entry point to the game. You can keep doing it forever because the interest is strong enough to self-sustain. There is a small market for it. There are niches where people want that work.
Does that make you happy? Maybe. Maybe not. It is a real question. But it is also not necessarily a strategic answer to the question of visibility.
Graduate school as the first label
The career timeline fits the music analogy almost too well.
As an undergraduate, no one expects much besides learning. You are in school. If you want the musician parallel, you study, and at night you meet bandmates and produce early demos. Those demos become your writing sample for graduate school.
Graduate school is like signing with a first serious label. Your career depends heavily on obtaining the degree, especially a PhD. In the musician story, you might become famous without formal certification. In the academic story, the institutional credential is the gate.
Graduate school also protects you. In the U.S., graduate programs are islands with significant support. You live on a lean diet financially, but you gain access to resources, community, legitimacy, and the ability to do research that would be almost impossible to sustain alone.
That protection makes graduate school feel like early career. You are learning habits. You are sheltered. But the moment you start thinking beyond it, the central question becomes: what do I do next?
At that point, the model forces a blunt answer. You scale your research program in a way that makes it more legible, more attractive, more able to travel. You start trying to produce bangers as part of your career, not as accidental byproducts of private obsession.
And that, unpleasantly, is what it is “all about” if your goal is visibility. You find a niche, a genre, a type of research. You channel it. You make it work.
The closing exercise: become your own producer
Here is the final question, phrased as an exercise rather than advice.
Imagine you are a producer in the scientific field. Imagine you are your own producer, or you are producing a particular student. Suppose, for the sake of the metaphor, that you get “streams” from the student’s work. In other words, imagine that coauthorship and visibility operate like revenue and marketing. The producer is on every “track,” and each successful output markets the producer too.
Now ask: what would you actually do?
What are the concrete steps you would take to increase the probability that this person produces a banger? What is a banger in your field? Is it a big theoretical architecture? A concrete case study that becomes unavoidable? A mid-level synthesis that links two live conversations? Where should the contribution sit in size and ambition?
Answering that forces you to understand the market. It forces you to ask who likes what, what problems are live, what kinds of papers people are currently prepared to read and cite.
It may also force you to accept that you do not need to address everyone. Maybe it is sufficient to write for five people, if those five people are the key nodes in the conversation. Maybe the goal is not maximal coverage, but maximal placement.
So the practical end of the metaphor is this: how do you increase your visibility, how do you position yourself as salient, and how do you make your work the thing that others assume is “there” when the topic comes up?
If the musician model is good for anything, it is for making that question unavoidable.