Shiri Chechik

43 papers receiving 346 citations

Peers

Shiri Chechik
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 285
  • Computer Graphics and Computer-Aided Design 50
  • Computer Networks and Communications 215
  • Artificial Intelligence 98
  • Signal Processing 28
Replace Surender Baswana with:
Surender Baswana India
Eden Chlamtáč United States
Stanislav Živný United Kingdom
Toshihiro Fujito Japan
Naomi Nishimura Canada
Dana Moshkovitz United States
Loukas Georgiadis Greece
Leonid Barenboim Israel
Peter Emde Boas Netherlands
Jochen Alber Germany
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Citations per field
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Surender Baswana · 1×
Citations per year

Countries citing papers authored by Shiri Chechik

Since Specialization
Citations

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

Fields of papers citing papers by Shiri Chechik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201328
2 201427
3 201324
4 201121
5 201320
6 201517
7 201617
8 200916
9 201016
10 201315
11 201312
12 201710
13 201610
14 201410
15 201810
16 20149
17 20158
18 20208
19 20207
20 20166

About Shiri Chechik

Shiri Chechik is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 46 papers that have together received 367 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (39 papers), Advanced Graph Theory Research (21 papers), Optimization and Search Problems (11 papers), Cryptography and Data Security (9 papers), Computational Geometry and Mesh Generation (7 papers), Privacy-Preserving Technologies in Data (7 papers), Data Management and Algorithms (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (285 citations), Computer Graphics and Computer-Aided Design (50 citations), Computer Networks and Communications (215 citations), Artificial Intelligence (98 citations) and Signal Processing (28 citations). Shiri Chechik has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include David Peleg, Liam Roditty, Aaron Bernstein, Michael Langberg, Ittai Abraham, Grant Schoenebeck, Robert E. Tarjan, Virginia Vassilevska Williams, David Kempe and Aleksandrs Slivkins. Their work appears in journals such as Theoretical Computer Science, ACM Transactions on Algorithms, SIAM Journal on Computing, Algorithmica and Information and Computation.

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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