J. L. Doob

27.0k citations
48 papers · 9.8k indexed · 4 hit papers · h-index 19

Impact in

Papers in

J. L. Doob

41 papers receiving 7.6k citations

Hit Papers

Classical Potential Theory and Its Probabilistic Counterpart 1984 · 438 citations
43819532026197720012.0k4.0k6.0k

Peers

J. L. Doob
Comparison fields: 5 of 181
  • Mathematical Physics 3.0k
  • Statistics and Probability 1.9k
  • Finance 2.2k
  • Applied Mathematics 1.5k
  • Management Science and Operations Research 1.2k
Replace Patrick Billingsley with:
Patrick Billingsley United States
William Feller United States
Kai Lai Chung United States
E. Seneta Australia
A. N. Kolmogorov Russia
S. R. S. Varadhan United States
Amir Dembo United States
Thomas G. Kurtz United States
Shinzo Watanabe Japan
Ofer Zeitouni Israel
J. L. Doob relative to Patrick Billingsley United States Patrick Billingsley's profile →
Citations per field
00.5×1.5×
Patrick Billingsley · 1×
Citations per year

Countries citing papers authored by J. L. Doob

Since Specialization
Citations

This map shows the geographic impact of J. L. Doob'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 J. L. Doob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. L. Doob more than expected).

Fields of papers citing papers by J. L. Doob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. L. Doob. 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 J. L. Doob. The network helps show where J. L. Doob may publish in the future.

Co-authors

The 7 scholars most cited alongside J. L. Doob, 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 J. L. Doob Line = papers co-authored together J. L. Doob links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2001305
2 199610
3 19758
4 19734
5 197124
6 196815
7 196510
8 196346
9 196254
10
Notes on Martingale Theory
196111
11 196118
12
Appreciation of Khinchin
19611
13 195929
14 195915
15 19576
16 19554
17 195567
18 195528
19 195433
20 195465

About J. L. Doob

J. L. Doob is a scholar working on Theoretical Computer Science, Applied Mathematics, Mathematical Physics, Algebra and Number Theory and Statistics and Probability, having authored 48 papers that have together received 9.8k indexed citations. Recurring topics across this work include Holomorphic and Operator Theory (4 papers), Mathematical Dynamics and Fractals (4 papers), History and Theory of Mathematics (3 papers), Stochastic processes and financial applications (3 papers), Advanced Mathematical Modeling in Engineering (2 papers), Advanced Harmonic Analysis Research (2 papers), Advanced Topology and Set Theory (2 papers) and Functional Equations Stability Results (2 papers). The work is most often cited by research in Mathematical Physics (3.0k citations), Statistics and Probability (1.9k citations), Finance (2.2k citations), Applied Mathematics (1.5k citations) and Management Science and Operations Research (1.2k citations). J. L. Doob has collaborated with scholars based in United States and Germany. Frequent co-authors include Kai Lai Chung, Б. В. Гнеденко, Wassily Hoeffding, A. N. Kolmogorov, Joshua Chover, Marcel Brelot and Gábor Szegő. Their work appears in journals such as Annales de l’institut Fourier, Transactions of the American Mathematical Society, Illinois Journal of Mathematics, Probability Theory and Related Fields and Indiana University Mathematics Journal.

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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