Herbert Robbins

28.7k citations
108 papers · 12.6k indexed · 3 hit papers · h-index 35

Herbert Robbins

104 papers receiving 11.3k citations

Hit Papers

Asymptotically efficient adaptive allocation rules1.3k195120261976200110002.0k3.0k4.0k5.0k

Peers

Herbert Robbins
Comparison fields: 5 of 200
  • Statistics and Probability 2.9k
  • Management Science and Operations Research 4.3k
  • Artificial Intelligence 5.0k
  • Statistics, Probability and Uncertainty 1.0k
  • Computer Networks and Communications 2.2k
Replace Emanuel Parzen with:
Emanuel Parzen United States
Herman Chernoff United States
J. Kiefer United States
J. Wolfowitz United States
Harold J. Kushner United States
Luc Devroye Canada
Sheldon M. Ross United States
Albert W. Marshall United States
Wassily Hoeffding United States
Peter Whittle United Kingdom
Herbert Robbins relative to Emanuel Parzen United States Emanuel Parzen's profile →
Citations per field
00.5×3.8×
Emanuel Parzen · 1×
Citations per year

Countries citing papers authored by Herbert Robbins

Since Specialization
Citations

This map shows the geographic impact of Herbert Robbins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Herbert Robbins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Robbins more than expected).

Fields of papers citing papers by Herbert Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Herbert Robbins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Herbert Robbins. The network helps show where Herbert Robbins may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Herbert Robbins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Herbert Robbins Line = papers co-authored together Herbert Robbins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199626
2 199634
3 198820
4
Asymptotically efficient adaptive allocation rulesbreakdown →
19851299
5 19833
6 198241
7 198124
8 1979147
9 197896
10 197812
11 197659
12 197420
13 196710
14
A class of optimal stopping problems
19670
15 19664
16 1965452
17 195324
18 19533
19 19528
20
A Stochastic Approximation Methodbreakdown →
19515395

About Herbert Robbins

Herbert Robbins is a scholar working on Statistics and Probability, Theoretical Computer Science, Management Science and Operations Research, Statistics, Probability and Uncertainty and Mathematical Physics, having authored 108 papers that have together received 12.6k indexed citations. Recurring topics across this work include Optimization and Search Problems (17 papers), Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (12 papers), Statistical Methods in Clinical Trials (11 papers), Probability and Risk Models (10 papers), Advanced Statistical Methods and Models (10 papers), Advanced Statistical Process Monitoring (9 papers) and Stochastic processes and statistical mechanics (7 papers). The work is most often cited by research in Statistics and Probability (2.9k citations), Management Science and Operations Research (4.3k citations), Artificial Intelligence (5.0k citations), Statistics, Probability and Uncertainty (1.0k citations) and Computer Networks and Communications (2.2k citations). Herbert Robbins has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Tze-Leung Lai, Y. S. Chow, David Siegmund, Tze Leung Lai, Michael Orkin, Y. S. Chow, B. M. Brown, Ching-Zong Wei, Douglas G. Chapman and D. A. Darling. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Applied Probability, Probability Theory and Related Fields, The Annals of Statistics and Journal of the American Statistical Association.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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