Ami Paz

854 citations
40 papers · 462 · h-index 9

Impact in

Papers in

Ami Paz

35 papers receiving 443 citations

Peers

Ami Paz
Comparison fields: 5 of 51
  • Computational Theory and Mathematics 308
  • Computer Graphics and Computer-Aided Design 33
  • Computer Networks and Communications 210
  • Management Science and Operations Research 54
  • Artificial Intelligence 140
Replace Claire M. Kenyon-Mathieu with:
Claire M. Kenyon-Mathieu United States
Euiwoong Lee United States
Thomas Dueholm Hansen Denmark
Alexis C. Kaporis Greece
Gerd Wechsung Germany
Christine T. Cheng United States
Hannes Moser Germany
T. Feder United States
Gwenaël Joret Belgium
Johan Wästlund Sweden
Ami Paz relative to Claire M. Kenyon-Mathieu United States Claire M. Kenyon-Mathieu's profile →
Citations per field
00.5×5×10×12.7×
Claire M. 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 25 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981121
2 198489
3 201550
4 201645
5 201217
6 201816
7 198114
8 201710
9 201910
10 19778
11 20138
12 20168
13 20178
14 20196
15 20205
16 20205
17
Trade-Offs in Distributed Interactive Proofs
20195
18 20195
19 20193
20 20233

About Ami Paz

Ami Paz is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Numerical Analysis and Computer Graphics and Computer-Aided Design, having authored 40 papers that have together received 462 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (19 papers), Optimization and Search Problems (17 papers), Distributed systems and fault tolerance (15 papers), Advanced Graph Theory Research (11 papers), Interconnection Networks and Systems (6 papers), Algorithms and Data Compression (5 papers), Formal Methods in Verification (4 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Computational Theory and Mathematics (308 citations), Computer Graphics and Computer-Aided Design (33 citations), Computer Networks and Communications (210 citations), Management Science and Operations Research (54 citations) and Artificial Intelligence (140 citations). Ami Paz has collaborated with scholars based in Israel, France and Austria. Frequent co-authors include Shlomo Moran, Shimon Even, Keren Censor-Hillel, Jukka Suomela, Janne H. Korhonen, Petteri Kaski, Christoph Lenzen, Hagit Attiya, Armando Castañeda and Pierre Fraigniaud. Their work appears in journals such as Theoretical Computer Science, Distributed Computing, ACM Transactions on Algorithms, SIAM Journal on Computing 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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