Ami Paz

846 citations
25 papers · 255 · h-index 7

Impact in

Papers in

Ami Paz

20 papers receiving 239 citations

Peers

Ami Paz
Comparison fields: 5 of 45
  • Computational Theory and Mathematics 165
  • Computer Graphics and Computer-Aided Design 20
  • Computer Networks and Communications 106
  • Management Science and Operations Research 40
  • Artificial Intelligence 77
Replace Claire Kenyon-Mathieu with:
Claire Kenyon-Mathieu United States
Manuel Sorge Germany
Sebastian Ordyniak Austria
Neeldhara Misra India
Johannes Uhlmann Germany
Christine T. Cheng United States
Eric Balkanski United States
Robert Ganian Austria
Gerd Wechsung Germany
Parinya Chalermsook Germany
Ami Paz relative to Claire Kenyon-Mathieu United States Claire Kenyon-Mathieu's profile →
Citations per field
00.5×11×
Claire Kenyon-Mathieu · 1×
Citations per year

Countries citing papers authored by Ami Paz

Since Specialization
Citations

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

Fields of papers citing papers by Ami Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ami Paz, 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 Ami Paz Line = papers co-authored together Ami Paz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198193
2 198465
3 201529
4 201625
5 20197
6 20177
7 20186
8 20133
9 20173
10 20203
11 20172
12 20192
13 20212
14 20241
15 20181
16 19831
17 20241
18 20231
19 20201
20 19671

About Ami Paz

Ami Paz is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Numerical Analysis and Algebra and Number Theory, having authored 25 papers that have together received 255 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (13 papers), Advanced Graph Theory Research (10 papers), Optimization and Search Problems (9 papers), Distributed systems and fault tolerance (8 papers), Algorithms and Data Compression (4 papers), Interconnection Networks and Systems (3 papers), Graph Labeling and Dimension Problems (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Computational Theory and Mathematics (165 citations), Computer Graphics and Computer-Aided Design (20 citations), Computer Networks and Communications (106 citations), Management Science and Operations Research (40 citations) and Artificial Intelligence (77 citations). Ami Paz has collaborated with scholars based in Israel, France and Austria. Frequent co-authors include Shlomo Moran, Shimon Even, Keren Censor-Hillel, Petteri Kaski, Jukka Suomela, Christoph Lenzen, Janne H. Korhonen, Hagit Attiya, Pierre Fraigniaud and Amir Yehudayoff. Their work appears in journals such as Theoretical Computer Science, Distributed Computing, Theory of Computing Systems, Discrete Applied Mathematics 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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