David Eisenstat
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- Distributed systems and fault tolerance 4
- Optimization and Search Problems 2
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- Advanced Graph Theory Research 3
- Complexity and Algorithms in Graphs 3
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- Computational Geometry and Mesh Generation 2
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- Stochastic processes and statistical mechanics 4
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- Machine Learning and Algorithms 3
- Algorithms and Data Compression 3
- Co-authors
- Dana AngluinJames AspnesEric RuppertPhilip N. KleinVahab MirrokniJakub ŁąckiClaire MathieuLaxman Dhulipala
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsDiscrete Mathematics and Combinatorics
- Journals
- Distributed Computing (3 papers)Electronic Journal of Statistics (1 paper)SIAM Journal on Discrete Mathematics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
David Eisenstat
15 papers receiving 303 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 207
- Computational Theory and Mathematics 57
- Discrete Mathematics and Combinatorics 7
- Statistical and Nonlinear Physics 27
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by David Eisenstat
This map shows the geographic impact of David Eisenstat'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 David Eisenstat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eisenstat more than expected).
Fields of papers citing papers by David Eisenstat
This network shows the impact of papers produced by David Eisenstat. 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 David Eisenstat. The network helps show where David Eisenstat may publish in the future.
Co-authorship network
The 14 scholars most cited alongside David Eisenstat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 8 | |
| 4 | 2013 | 6 | |
| 5 | 2013 | 5 | |
| 6 | 2010 | 2 | |
| 7 | 2009 | 2 | |
| 8 | Learning Acyclic Probabilistic Circuits Using Test Paths | 2008 | 1 |
| 9 | 2008 | 74 | |
| 10 | 2008 | 0 | |
| 11 | 2008 | 65 | |
| 12 | 2007 | 1 | |
| 13 | 2007 | 86 | |
| 14 | Fast computation by population protocols with a leader | 2006 | 1 |
| 15 | 2006 | 9 | |
| 16 | 2006 | 47 | |
| 17 | 2006 | 5 | |
| 18 | On the power of anonymous one-way communication | 2005 | 1 |
About David Eisenstat
David Eisenstat is a scholar working on Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 18 papers that have together received 320 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (4 papers), Stochastic processes and statistical mechanics (4 papers), Machine Learning and Algorithms (3 papers), Advanced Graph Theory Research (3 papers), Complexity and Algorithms in Graphs (3 papers), Algorithms and Data Compression (3 papers), Optimization and Search Problems (2 papers) and Computational Geometry and Mesh Generation (2 papers). The work is most often cited by research in Computer Networks and Communications (207 citations), Computational Theory and Mathematics (57 citations) and Discrete Mathematics and Combinatorics (7 citations). David Eisenstat has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dana Angluin, James Aspnes, Eric Ruppert, Philip N. Klein, Vahab Mirrokni, Jakub Łącki, Claire Mathieu, Laxman Dhulipala, Christopher Harshaw and Yitong Yin. Their work appears in journals such as Distributed Computing, Electronic Journal of Statistics, SIAM Journal on Discrete Mathematics, Discrete Applied Mathematics and Journal of Machine Learning Research.
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.