Ran Gelles

989 citations
31 papers · 509 · h-index 9

Impact in

Papers in

Ran Gelles

28 papers receiving 483 citations

Peers

Ran Gelles
Comparison fields: 5 of 26
  • Artificial Intelligence 396
  • Atomic and Molecular Physics, and Optics 277
  • Computer Networks and Communications 143
  • Computational Theory and Mathematics 71
  • Hardware and Architecture 13
Replace Jun Gu with:
Jun Gu Taiwan
Walter O. Krawec United States
Naeimeh Mohseni Germany
Kai Wen China
Andrea Grimaldi Italy
Ben Criger Netherlands
Houzhen Wang China
Ruslan Shaydulin United States
Timothée Leleu Japan
Ran Gelles relative to Jun Gu Taiwan Jun Gu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ran Gelles

Since Specialization
Citations

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

Fields of papers citing papers by Ran Gelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ran Gelles, 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 Ran Gelles Line = papers co-authored together Ran Gelles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009225
2 201357
3 201141
4 201431
5 201424
6 201722
7 201619
8 201713
9 201510
10 20158
11 20147
12 20186
13 20185
14 20145
15 20144
16 20174
17 20154
18 20144
19 20133
20 20163

About Ran Gelles

Ran Gelles is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 509 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (14 papers), Cryptography and Data Security (7 papers), Error Correcting Code Techniques (7 papers), Wireless Communication Security Techniques (6 papers), Quantum Mechanics and Applications (4 papers), Distributed systems and fault tolerance (4 papers), Quantum Information and Cryptography (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Artificial Intelligence (396 citations), Atomic and Molecular Physics, and Optics (277 citations), Computer Networks and Communications (143 citations), Computational Theory and Mathematics (71 citations) and Hardware and Architecture (13 citations). Ran Gelles has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Michel Boyer, Tal Mor, Dan Kenigsberg, Amit Sahai, Ankur Moitra, Bernhard Haeupler, Christian Schaffner, Serge Fehr, Rafail Ostrovsky and Klim Efremenko. Their work appears in journals such as IEEE Transactions on Information Theory, Physical Review A, Distributed Computing, SIAM Journal on Discrete Mathematics and Journal of the ACM.

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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