David Eisenstat

1.4k citations
23 papers · 479 · h-index 9

Impact in

Papers in

David Eisenstat

19 papers receiving 446 citations

Peers

David Eisenstat
Comparison fields: 5 of 46
  • Computer Networks and Communications 360
  • Hardware and Architecture 99
  • Experimental and Cognitive Psychology 58
  • Computational Theory and Mathematics 61
  • Statistical and Nonlinear Physics 31
Replace Eric Ruppert with:
Eric Ruppert Canada
Chun Huang China
Philipp Woelfel Canada
S. Rao United States
Abdou Youssef United States
Fred S. Annexstein United States
Michael F. Ringenburg United States
Attila Kő̈rösi Hungary
Bernadette Charron-Bost France
Mujiangshan Wang China
David Eisenstat relative to Eric Ruppert Canada Eric Ruppert's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Eisenstat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 24 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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lowering the Overhead of Nonblocking Software Transactional Memory
200699
2 200788
3 200877
4 200866
5 200648
6
Hardware Acceleration of Software Transactional Memory
200536
7
Time-space trade-offs in population protocols
201714
8 20069
9 20218
10 20136
11 20235
12 20135
13 20065
14 20223
15
A two-enqueuer queue
20082
16 20102
17 20092
18
Fast computation by population protocols with a leader
20061
19
On the power of anonymous one-way communication
20051
20
Learning Acyclic Probabilistic Circuits Using Test Paths
20081

About David Eisenstat

David Eisenstat is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Mathematical Physics and Molecular Biology, having authored 23 papers that have together received 479 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (8 papers), Stochastic processes and statistical mechanics (4 papers), Algorithms and Data Compression (3 papers), Optimization and Search Problems (3 papers), Machine Learning and Algorithms (3 papers), Advanced Graph Theory Research (3 papers), Complexity and Algorithms in Graphs (3 papers) and Cognitive Functions and Memory (2 papers). The work is most often cited by research in Computer Networks and Communications (360 citations), Hardware and Architecture (99 citations), Experimental and Cognitive Psychology (58 citations), Computational Theory and Mathematics (61 citations) and Statistical and Nonlinear Physics (31 citations). David Eisenstat has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include James Aspnes, Dana Angluin, Eric Ruppert, Virendra J. Marathe, Michael Spear, William N. Scherer, Michael L. Scott, Sandhya Dwarkadas, Philip N. Klein and Arrvindh Shriraman. Their work appears in journals such as Distributed Computing, Electronic Journal of Statistics, Discrete Applied Mathematics, SIAM Journal on Discrete Mathematics and Discrete Mathematics.

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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