Eric Ruppert

1.9k citations
49 papers · 1.3k · h-index 19

Impact in

Papers in

Eric Ruppert

47 papers receiving 1.3k citations

Peers

Eric Ruppert
Comparison fields: 5 of 54
  • Computer Networks and Communications 1.2k
  • Hardware and Architecture 341
  • Computational Theory and Mathematics 189
  • Artificial Intelligence 284
  • Experimental and Cognitive Psychology 45
Replace Bo Hong with:
Bo Hong United States
Philipp Woelfel Canada
Amos Israeli Israel
Gregory V. Chockler Israel
Rüdiger Reischuk Germany
Howard E. Sturgis United States
Vassos Hadzilacos Canada
Gabriel Filip Bracha Poland
Faith Ellen Fich Canada
Achour Mostéfaoui France
Eric Ruppert relative to Bo Hong United States Bo Hong's profile →
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Citations per year

Countries citing papers authored by Eric Ruppert

Since Specialization
Citations

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

Fields of papers citing papers by Eric Ruppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Eric Ruppert, 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 Eric Ruppert Line = papers co-authored together Eric Ruppert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007177
2 2010143
3 2003108
4 2004104
5 200982
6
An Introduction to Population Protocols.
200781
7 201466
8 200654
9 200948
10 200747
11 201427
12 200826
13 202125
14 200523
15 201323
16
Even Small Birds are Unique: Population Protocols with Identifiers
200723
17 201922
18 200522
19 201122
20 200017

About Eric Ruppert

Eric Ruppert is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (47 papers), Optimization and Search Problems (27 papers), Advanced Data Storage Technologies (13 papers), Parallel Computing and Optimization Techniques (12 papers), Cryptography and Data Security (8 papers), Algorithms and Data Compression (3 papers), Logic, programming, and type systems (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Hardware and Architecture (341 citations), Computational Theory and Mathematics (189 citations), Artificial Intelligence (284 citations) and Experimental and Cognitive Psychology (45 citations). Eric Ruppert has collaborated with scholars based in Canada, Greece and United States. Frequent co-authors include James Aspnes, Rachid Guerraoui, Faith Ellen, Faith Ellen Fich, Panagiota Fatourou, Dana Angluin, David D. Eisenstat, Franck van Breugel, Trevor Alexander Brown and Hugues Fauconnier. Their work appears in journals such as Distributed Computing, Lecture notes in computer science, SIAM Journal on Computing, Journal of the ACM and Algorithmica.

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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