Mark Braverman

4.0k citations
117 papers · 1.6k · h-index 25

Impact in

Papers in

Mark Braverman

109 papers receiving 1.5k citations

Peers

Mark Braverman
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 787
  • Management Science and Operations Research 263
  • Artificial Intelligence 635
  • Mathematical Physics 173
  • Computer Networks and Communications 315
Replace Pinyan Lu with:
Pinyan Lu China
Artur Czumaj Germany
David Gamarnik United States
Gil Kalai Israel
Shayan Oveis Gharan United States
Milena Mihail United States
P. C. Fishburn United States
Colin Cooper United Kingdom
Sylvain Sorin France
Boris Pittel United States
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Citations per year

Countries citing papers authored by Mark Braverman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Braverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Braverman. 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 Mark Braverman. The network helps show where Mark Braverman may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Braverman, 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 Mark Braverman Line = papers co-authored together Mark Braverman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201491
2 201067
3 201464
4 200763
5 202057
6 200255
7 201251
8 201051
9 200547
10 201341
11 200839
12 201036
13 201336
14
Computing over the Reals: Foundations for Scientific Computing
200531
15 201230
16 201330
17 200429
18 201328
19 200928
20 201328

About Mark Braverman

Mark Braverman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research and Economics and Econometrics, having authored 117 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (52 papers), Computability, Logic, AI Algorithms (34 papers), Cryptography and Data Security (23 papers), Cellular Automata and Applications (14 papers), Auction Theory and Applications (14 papers), Optimization and Search Problems (13 papers), Game Theory and Voting Systems (13 papers) and Advanced Graph Theory Research (13 papers). The work is most often cited by research in Computational Theory and Mathematics (787 citations), Management Science and Operations Research (263 citations), Artificial Intelligence (635 citations), Mathematical Physics (173 citations) and Computer Networks and Communications (315 citations). Mark Braverman has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Anup Rao, Michael Yampolsky, Itai Ashlagi, Avinatan Hassidim, Elchanan Mossel, Omri Weinstein, Boaz Barak, Ankur Moitra, Stephen Cook and Mikhail Shubin. Their work appears in journals such as SIAM Journal on Computing, IEEE Transactions on Information Theory, Algorithmica, Theory of Computing and Journal of the ACM.

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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