Gene Cooperman

36.6k citations
88 papers · 1.1k indexed · h-index 16
Topics
Parallel Computing and Optimization Techniques (31 papers)Finite Group Theory Research (19 papers)Distributed and Parallel Computing Systems (18 papers)

In The Last Decade

Gene Cooperman

86 papers receiving 1.0k citations

Peers

Gene Cooperman
Comparison fields: 5 of 79
  • Computer Networks and Communications 475
  • Electrical and Electronic Engineering 352
  • Artificial Intelligence 284
  • Hardware and Architecture 256
  • Information Systems 190
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Gene Cooperman

Since Specialization
Citations

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

Fields of papers citing papers by Gene Cooperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Cooperman

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Cooperman. A scholar is included among the top collaborators of Gene Cooperman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gene Cooperman. Gene Cooperman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 20
4 12
5
User-Level Socket-Based Checkpointing for Distributed and Parallel Computation
2
6
Transparent User-Level Checkpointing for the Native Posix Thread Library for Linux.
25
7
Static Performance Evaluation for Memory-Bound Computing: The MBRAM Model.
3
8
Marshalgen: Marshaling Objects in the Presence of Polymorphism.
1
9 4
10 3
11 1
12
GCD of many integers
6
13 3
14
Constructive recognition of a black box group isomorphic to GL(n, 2)
8
15 10
16 14
17 27
18 5
19
Random algorithms for permutation groups
6
20 35

About Gene Cooperman

Gene Cooperman is a scholar working on Discrete Mathematics and Combinatorics, Hardware and Architecture and Computer Networks and Communications, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (31 papers), Finite Group Theory Research (19 papers) and Distributed and Parallel Computing Systems (18 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (167 citations), Hardware and Architecture (256 citations) and Computer Networks and Communications (475 citations). Gene Cooperman has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include Kapil Arya, Jason Ansel, Herbert G. Winful, Larry Finkelstein, László Babai, Ákos Seress, Eugene M. Luks, Leonard H. Finkelstein, L. Friedman and Walter L. Bloss. Their work appears in journals such as Applied Physics Letters, Communications of the ACM and IEEE Transactions on Industry Applications.

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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