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Price's law

Price's law is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Price's law rather than just read about it. In short: Price's law or Price's square root law is a bibliometric hypothesis proposed by Derek J. de Solla Price suggesting that in any scientific field, half of the published research comes from the square root of the total number of authors in that field. The law specifically states that if n represents the total number of authors in a scientific domain, then √n authors will be responsible for producing approximately 50% o…

Key takeaways

  • Price's law belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Price's law to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Price's law from memory before moving on to harder problems.

Reference excerpt

Price's law or Price's square root law is a bibliometric hypothesis proposed by Derek J. de Solla Price suggesting that in any scientific field, half of the published research comes from the square root of the total number of authors in that field. The law specifically states that if n represents the total number of authors in a scientific domain, then √n authors will be responsible for producing approximately 50% of the total publications in that field. For example, if 100 papers are written by 25 authors, then 25 = 5 {\displaystyle {\sqrt {25}}=5} out of the 25 authors will have contributed 50 papers. Derek J. de Solla Price introduced this concept in his 1963 book "Little Science, Big Science" as part of his broader research on scientific productivity and information dynamics. The law was intended to describe the uneven distribution of scientific output across researchers.

Empirical challenges Subsequent research has largely contradicted Price's original hypothesis. Multiple studies across various scientific disciplines have found that the actual distribution of publications is more skewed than Price's law predicted. Most empirical analyses suggest that a much smaller proportion of researchers produce a significantly larger percentage of publications. The related Lotka's law, for example, is a better fit.

Practical use Despite its empirical limitations, Price's law remains important in various fields, for example to understand scientific productivity patterns, analyze or research output distributions, or highlight the concentration of scientific work among a small number of researchers

See also Bibliometrics Lotka's law Matthew effect Pareto principle

References

Worked examples

Example 1 — a first encounter with Price's law

Start with the simplest possible case. Write down what Price's law claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Price's law before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Price's law ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Price's law

In research
Price's law appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Price's law in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Price's law is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bibliometrics, Statistical laws, so understanding it makes those chapters shorter.
In everyday life
Look for Price's law outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Price's law in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Price's law means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Price's law out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Price's law in simple terms?

Price's law or Price's square root law is a bibliometric hypothesis proposed by Derek J. de Solla Price suggesting that in any scientific field, half of the published research comes from the square root of the total number of authors in that field. The law specifically states that if n represents t…

Why does Price's law matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Price's law?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Price's law.

Tags

  • Bibliometrics
  • Statistical laws

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