Statistical Methods and Inference

Statistical Methods and Inference is a research topic within Statistics and Probability. Science Explorer counts 39k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on regularization and variable selection methods, particularly in the context of high-dimensional data analysis. It covers topics such as Lasso, model selection, sparse models, covariance estimation, survival analysis, random forests, and Bayesian methods.

Regularization
Variable Selection
Lasso
Model Selection
High-Dimensional Data
Sparse Models
Covariance Estimation
Survival Analysis
Random Forests
Bayesian Methods

Research works: 39k
In the world top 10%: 3.8k
Top-10% rate: 9.9%
Growth, 2018-21 → 2022-25: +9%
Largest producer: United States

Statistical Methods and Inference

Which countries lead Statistical Methods and Inference research?

By volume, the United States and China publish the most (2.1k and 1.3k works in 2022-now).

By volume, 2022-now

1 United States 2.1k works
2 China 1.3k works
3 United Kingdom 300 works
4 France 289 works
5 Canada 282 works
6 Germany 269 works
7 Italy 225 works
8 Japan 206 works
9 India 204 works
10 South Korea 135 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States2,076 · 39.6%China1,260 · 24.0%United Kingdom300 · 5.7%France289 · 5.5%6 others listed1,320 · 25.2%

Shares of the rows listed above, not of the whole node.

Which institutions lead Statistical Methods and Inference research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Statistical Methods and Inference research, followed by University of North Carolina at Chapel Hill and Harvard University.

By volume, 2022-now

1 Centre National de la Recherche ScientifiqueFrance 96 works
2 University of North Carolina at Chapel HillUnited States 65 works
3 Harvard UniversityUnited States 51 works
4 University of MichiganUnited States 46 works
5 Stanford UniversityUnited States 44 works
6 University of PennsylvaniaUnited States 42 works
7 Renmin University of ChinaChina 40 works
8 Columbia UniversityUnited States 35 works
9 University of ChicagoUnited States 31 works
10 University of California, BerkeleyUnited States 31 works

Who are the leading researchers in Statistical Methods and Inference?

The most-cited researchers publishing on Statistical Methods and Inference include Douglas G. Altman, Christopher J L Murray and Yoshua Bengio.

1 Douglas G. Altman United Kingdom 862k citations
2 Christopher J L Murray United States 583k citations
3 Yoshua Bengio Canada 476k citations
4 Geoffrey E. Hinton Canada 454k citations
5 George Davey Smith United Kingdom 435k citations
6 Mark J. Daly United States 403k citations
7 Robert John Tibshirani United States 396k citations
8 Ronald C. Kessler United States 360k citations
9 Hermann Brenner Germany 343k citations
10 Xiangyu Zhang 327k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Statistical Methods and Inference?

The most cited paper in Statistical Methods and Inference is "Regression Shrinkage and Selection Via the Lasso" (Robert John Tibshirani, 1996), with 53,131 citations. Next come "Maximum Likelihood from Incomplete Data Via the EM Algorithm" (50,034) and "Nonparametric Estimation from Incomplete Observations" (45,535).

Most cited papers
#	Paper	Released	Citations
1	Regression Shrinkage and Selection Via the Lasso Robert John Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology)	1996	53,131
2	Maximum Likelihood from Incomplete Data Via the EM Algorithm A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology)	Sep 1977	50,034
3	Nonparametric Estimation from Incomplete Observations Edward L. Kaplan, Paul Meier · Springer series in statistics Book chapter	1992	45,535
4	The central role of the propensity score in observational studies for causal effects Paul R. Rosenbaum, Donald B. Rubin · Biometrika Open access	1983	31,609
5	Pattern Recognition and Machine Learning Nasser M. Nasrabadi · Journal of Electronic Imaging	2007	22,033

All 96 most cited papers, with filters and sorting

Where is Statistical Methods and Inference research done?

The largest centres of Statistical Methods and Inference research in 2022-now are Beijing (China), Shanghai (China), Tokyo (Japan) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Storrs and Palaiseau.

Largest cities, 2022-now

1 BeijingChina 273 works
2 ShanghaiChina 131 works
3 TokyoJapan 98 works
4 LondonUnited Kingdom 97 works
5 New YorkUnited States 94 works
6 SeoulSouth Korea 88 works
7 ParisFrance 84 works
8 Chapel HillUnited States 64 works
9 Hong KongChina 64 works
10 CambridgeUnited States 61 works

Where it is the local speciality

StorrsUS · 21.3 works8.6×
PalaiseauFR · 25.3 works8.5×

← less than its size predicts1×more →

Location quotient: how much more of its research is in Statistical Methods and Inference than the world average.

See Statistical Methods and Inference on the map

Where is the best place to study Statistical Methods and Inference?

Among universities, judged by research, Université de Technologie de Compiègne, Stanford University and Harvard University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged

40%

Specialisationhow much of its work is in this field, counted up to 10× the world share

10%

Sizeits output in this field, on a log scale

30%

Growthoutput growth, counted from -20% to +20%

10%

Internationalshare of its work with a co-author abroad

10%

Each slider sets a weight; the share it gets of the score is beside it.

#	University	Score	Top 10%	Specialisation	Works	Growth
1	Université de Technologie de CompiègneFrance	72.1	49.6%	67.8×	13	+284.0%
2	Stanford UniversityUnited States	64.4	21.0%	4.9×	44	+3.4%
3	Harvard UniversityUnited States	60.2	17.1%	2.6×	51	+3.5%
4	University College LondonUnited Kingdom	58.4	21.1%	2.6×	25	+26.7%
5	University of ChicagoUnited States	56.3	15.4%	6.1×	31	+12.6%
6	Carnegie Mellon UniversityUnited States	55.4	26.9%	10.8×	27	-18.8%
7	University of PennsylvaniaUnited States	53.6	13.2%	6.5×	42	-5.3%
8	ETH ZurichSwitzerland	53.5	18.4%	4.3×	18	+51.5%
9	Yale UniversityUnited States	52.6	12.8%	4.3×	28	+28.7%
10	Renmin University of ChinaChina	52.1	9.0%	20.3×	40	+66.2%
11	University of MichiganUnited States	52.0	13.8%	5.0×	46	-5.6%
12	Chinese University of Hong KongChina	51.5	14.3%	5.1×	22	+48.2%
13	University of TorontoCanada	50.5	11.7%	2.4×	30	+30.6%
14	University of CopenhagenDenmark	50.1	13.4%	3.7×	21	+109.0%
15	University of California, BerkeleyUnited States	49.0	17.5%	5.4×	31	-19.2%
16	North Carolina State UniversityUnited States	48.7	17.6%	7.8×	26	-9.2%
17	University of California, DavisUnited States	48.7	13.6%	4.9×	24	+17.9%
18	Duke UniversityUnited States	48.1	15.3%	6.1×	30	-7.5%
19	Columbia UniversityUnited States	47.6	11.2%	5.3×	35	-7.6%
20	University of Wisconsin–MadisonUnited States	47.1	11.6%	5.6×	31	+3.1%
21	National University of SingaporeSingapore	46.8	10.2%	3.9×	28	+3.9%
22	University of CambridgeUnited Kingdom	46.8	18.5%	3.3×	24	-6.2%
23	National Chengchi UniversityTaiwan	46.5	23.4%	29.2×	11	+441.8%
24	University of North Carolina at Chapel HillUnited States	46.2	6.3%	6.0×	65	-61.6%
25	University of British ColumbiaCanada	45.7	11.0%	3.2×	23	+71.1%
26	McGill UniversityCanada	44.9	8.3%	3.8×	23	+19.6%
27	New York UniversityUnited States	44.7	10.6%	3.3×	23	+44.4%
28	Peking UniversityChina	44.4	12.1%	2.1×	26	+28.8%
29	Beijing Normal UniversityChina	43.5	9.2%	5.5×	26	+90.1%
30	University of WashingtonUnited States	42.9	13.4%	4.1×	28	-15.4%
31	University of MinnesotaUnited States	42.8	13.9%	5.2×	23	-11.7%
32	Cornell UniversityUnited States	42.6	11.1%	2.9×	23	+9.5%
33	KU LeuvenBelgium	42.5	8.9%	4.2×	24	+0.8%
34	Karolinska InstitutetSweden	42.5	13.1%	3.0×	10	+32.0%
35	University of California, Los AngelesUnited States	42.4	18.0%	2.8×	20	-9.2%
36	Massachusetts Institute of TechnologyUnited States	42.4	25.2%	3.4×	14	-32.1%
37	Tsinghua UniversityChina	42.0	11.6%	1.8×	25	+76.4%
38	Imperial College LondonUnited Kingdom	41.6	12.5%	2.6×	16	+6.7%
39	Lancaster UniversityUnited Kingdom	41.6	21.8%	6.5×	10	-0.6%
40	Ludwig-Maximilians-Universität MünchenGermany	41.2	15.7%	2.9×	16	+8.1%
41	Leiden UniversityNetherlands	39.9	22.2%	4.1×	14	-27.2%
42	University of Hong KongChina	39.4	9.7%	3.5×	20	+0.3%
43	Indian Statistical InstituteIndia	38.3	4.8%	37.5×	19	+21.5%
44	Princeton UniversityUnited States	38.3	22.8%	4.1×	11	-45.8%
45	Changchun University of Technology	38.0	8.8%	24.0×	17	+122.2%
46	Shanghai University of Finance and EconomicsChina	36.7	5.5%	34.2×	21	+5.9%
47	Princess Nourah bint Abdulrahman UniversitySaudi Arabia	36.0	12.5%	5.8×	9	-
48	Bocconi UniversityItaly	35.4	12.9%	15.7×	8	+59.2%
49	King Abdullah University of Science and TechnologySaudi Arabia	34.8	9.6%	6.3×	11	+9.4%
50	City University of Hong KongChina	34.7	6.1%	3.7×	13	+2.9%
51	Hong Kong Baptist UniversityChina	33.5	11.3%	7.7×	9	+5.1%
52	Vanderbilt UniversityUnited States	32.0	25.0%	2.1×	9	-4.1%
53	Central University of Finance and EconomicsChina	30.9	3.6%	18.6×	13	+94.0%
54	Université Djilali de Sidi Bel AbbèsAlgeria	30.5	1.4%	39.9×	13	+198.9%
55	Hong Kong Polytechnic UniversityChina	30.3	5.8%	2.2×	12	+16.5%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Statistical Methods and Inference, country by country

Is Statistical Methods and Inference research growing?

Output in 2022-2025 was 9% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Statistical Methods and Inference.

grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Statistical Methods and Inference as a percentage of every work published that year, 0.029% in 2024.

Fractional works of Statistical Methods and Inference over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

Discussion

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Which countries lead Statistical Methods and Inference research?

By volume, 2022-now

How concentrated that is

Which institutions lead Statistical Methods and Inference research?

By volume, 2022-now

Who are the leading researchers in Statistical Methods and Inference?

What are the most cited papers in Statistical Methods and Inference?

Where is Statistical Methods and Inference research done?

Largest cities, 2022-now

Where it is the local speciality

Where is the best place to study Statistical Methods and Inference?

Is Statistical Methods and Inference research growing?

Its share of all research

How much of it reaches the world top 10%

Which topics inside it are moving

Related research

Discussion