Haim Kaplan

9.7k citations
253 papers · 4.6k · h-index 36

Impact in

Papers in

Haim Kaplan

248 papers receiving 4.2k citations

Peers

Haim Kaplan
Comparison fields: 5 of 155
  • Computer Graphics and Computer-Aided Design 461
  • Signal Processing 1.1k
  • Computer Networks and Communications 2.2k
  • Computational Theory and Mathematics 1.2k
  • Artificial Intelligence 1.3k
Replace Michael L. Fredman with:
Michael L. Fredman United States
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Alok Aggarwal United States
Evangelos Kranakis Canada
Daniel D. Sleator United States
Clifford Stein United States
Baruch Schieber United States
Giuseppe F. Italiano Italy
Ding‐Zhu Du United States
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Citations per field
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Citations per year

Countries citing papers authored by Haim Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Haim Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003289
2 2006135
3 2003129
4 2002104
5 2003104
6 2002103
7 199597
8 200791
9 199590
10 200089
11 200584
12 200173
13 199969
14 199765
15 199660
16 199459
17 200955
18 200253
19 201453
20 200252

About Haim Kaplan

Haim Kaplan is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 253 papers that have together received 4.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (59 papers), Computational Geometry and Mesh Generation (52 papers), Complexity and Algorithms in Graphs (49 papers), Algorithms and Data Compression (49 papers), Optimization and Search Problems (37 papers), Advanced Graph Theory Research (36 papers), Caching and Content Delivery (30 papers) and Advanced Database Systems and Queries (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (461 citations), Signal Processing (1.1k citations), Computer Networks and Communications (2.2k citations), Computational Theory and Mathematics (1.2k citations) and Artificial Intelligence (1.3k citations). Haim Kaplan has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Edith Cohen, Ron Shamir, Robert E. Tarjan, Micha Sharir, Uri Zwick, Amos Fiat, Tova Milo, Eran Halperin, Martin Charles Golumbic and Andrew V. Goldberg. Their work appears in journals such as SIAM Journal on Computing, Annals of Plastic Surgery, Algorithmica, Discrete & Computational Geometry and ACM Transactions on Algorithms.

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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