Jeff Edmonds

2.1k citations
66 papers · 1.4k · h-index 21

Impact in

Papers in

Jeff Edmonds

63 papers receiving 1.3k citations

Peers

Jeff Edmonds
Comparison fields: 5 of 63
  • Computer Networks and Communications 840
  • Industrial and Manufacturing Engineering 233
  • Signal Processing 242
  • Computational Theory and Mathematics 308
  • Management Science and Operations Research 195
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Joan Boyar Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Jeff Edmonds

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Edmonds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Edmonds, 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 Jeff Edmonds Line = papers co-authored together Jeff Edmonds links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996405
2 200086
3 199878
4 199956
5 200245
6 200943
7 200242
8 200340
9 200632
10 201231
11 200630
12 200130
13 200627
14 200226
15 200124
16 199524
17 200924
18 199923
19 201122
20 201122

About Jeff Edmonds

Jeff Edmonds is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimization and Search Problems (34 papers), Complexity and Algorithms in Graphs (22 papers), Distributed systems and fault tolerance (9 papers), Scheduling and Optimization Algorithms (8 papers), Distributed and Parallel Computing Systems (8 papers), Cryptography and Data Security (7 papers), Advanced Wireless Network Optimization (5 papers) and semigroups and automata theory (4 papers). The work is most often cited by research in Computer Networks and Communications (840 citations), Industrial and Manufacturing Engineering (233 citations), Signal Processing (242 citations), Computational Theory and Mathematics (308 citations) and Management Science and Operations Research (195 citations). Jeff Edmonds has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kirk Pruhs, Michael Luby, Johannes Blömer, Angela A. Albanese, Madhu Sudan, Russell Impagliazzo, Toniann Pitassi, Stephen Cook, Paul Beame and Renée J. Miller. Their work appears in journals such as Theoretical Computer Science, SIAM Journal on Computing, ACM Transactions on Algorithms, IEEE Transactions on Information Theory 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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