Mark Braverman

4.0k citations
113 papers · 1.6k indexed · h-index 25

Mark Braverman

108 papers receiving 1.4k citations

Peers

Mark Braverman
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 772
  • Management Science and Operations Research 262
  • Artificial Intelligence 636
  • Mathematical Physics 164
  • Computer Networks and Communications 312
Replace Artur Czumaj with:
Artur Czumaj Germany
David Gamarnik United States
Pinyan Lu China
Gil Kalai Israel
Michael Krivelevich Israel
Shayan Oveis Gharan United States
Milena Mihail United States
Ziv Bar-Yossef Israel
Colin Cooper United Kingdom
Sylvain Sorin France
Mark Braverman relative to Artur Czumaj Germany Artur Czumaj's profile →
Citations per field
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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-authorship network

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
#Work
1 20210
2 20201
3
The Gradient Complexity of Linear Regression
20202
4 20181
5 20164
6 201513
7
An Interactive Information Odometer with Applications.
20147
8
Public vs private coin in bounded-round information.
20130
9
Direct product via round-preserving compression.
20133
10
Direct Products in Communication Complexity.
20125
11
From Information to Exact Communication.
20121
12
I Like Her more than You: Self-determined Communities
20126
13
An Information Complexity Approach to Extended Formulations.
20122
14
Information lower bounds via self-reducibility.
20121
15
Leaky Pseudo-Entropy Functions
20113
16
Towards deterministic tree code constructions.
20111
17 20102
18
Direct Sums in Randomized Communication Complexity
20092
19
Parity Problems in Planar Graphs.
20072
20
Computing over the Reals: Foundations for Scientific Computing
200531

About Mark Braverman

Mark Braverman is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (51 papers), Computability, Logic, AI Algorithms (34 papers), Cryptography and Data Security (23 papers), Auction Theory and Applications (14 papers), Cellular Automata and Applications (13 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 (772 citations), Management Science and Operations Research (262 citations), Artificial Intelligence (636 citations), Mathematical Physics (164 citations) and Computer Networks and Communications (312 citations). Mark Braverman has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Anup Rao, Michael Yampolsky, Avinatan Hassidim, Itai Ashlagi, 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 Communications 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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