Alex Kesselman

31 papers receiving 468 citations

Peers

Alex Kesselman
Comparison fields: 5 of 31
  • Computer Networks and Communications 416
  • Electrical and Electronic Engineering 161
  • Management Science and Operations Research 64
  • Economics and Econometrics 43
  • Computational Theory and Mathematics 41
Replace K. Bharath-Kumar with:
K. Bharath-Kumar United States
Vahid Liaghat United States
S.C. Borst Netherlands
Derrell V. Foster United States
J.W. Roberts France
Dino Farinacci United States
S. Kamat United States
C. N. Laws United Kingdom
Rui Zhang-Shen United States
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Alex Kesselman relative to K. Bharath-Kumar United States K. Bharath-Kumar's profile →
Citations per field
00.5×10×16.5×
K. Bharath-Kumar · 1×
Citations per year

Countries citing papers authored by Alex Kesselman

Since Specialization
Citations

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

Fields of papers citing papers by Alex Kesselman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Kesselman

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Kesselman. A scholar is included among the top collaborators of Alex Kesselman 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 Alex Kesselman. Alex Kesselman 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 10
2 7
3
6
4 23
5 28
6 5
7 14
8 9
9 6
10 89
11 87
12 2
13 6
14 4
15 4
16
Adaptive wireless networks
2
17
Improved competitive guarantees for QoS buffering
1
18 1
19 8
20 6

About Alex Kesselman

Alex Kesselman is a scholar working on Computer Networks and Communications, Hardware and Architecture and Management Information Systems, having authored 33 papers that have together received 487 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (14 papers), Optimization and Search Problems (12 papers) and Network Traffic and Congestion Control (9 papers). The work is most often cited by research in Computer Networks and Communications (416 citations), Management Science and Operations Research (64 citations) and Management Information Systems (27 citations). Alex Kesselman has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yishay Mansour, Kirill Kogan, Eyal Even-Dar, Michael Segal, Adi Rosén, Yishay Mansour, Rob van Stee, Boaz Patt-Shamir, Gabriel Scalosub and William Aiello. Their work appears in journals such as IEEE Transactions on Communications, Theoretical Computer Science and Journal of Parallel and Distributed Computing.

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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