Iftah Gamzu

600 citations
22 papers · 175 · h-index 8

Impact in

Papers in

Iftah Gamzu

18 papers receiving 163 citations

Peers

Iftah Gamzu
Comparison fields: 5 of 35
  • Management Science and Operations Research 60
  • Marketing 34
  • Information Systems and Management 19
  • Computational Theory and Mathematics 42
  • Computer Networks and Communications 60
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Feixia Ji China
Tom Khabaza United States
Anshu Jain India
Ana Lelescu United States
Aykut Firat United States
Yoon Ho Cho South Korea
Sainyam Galhotra United States
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Tuhin Sarkar United States
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Citations per field
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Citations per year

Countries citing papers authored by Iftah Gamzu

Since Specialization
Citations

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

Fields of papers citing papers by Iftah Gamzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Iftah Gamzu, 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 Iftah Gamzu Line = papers co-authored together Iftah Gamzu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201244
2 201239
3 200918
4
Ranking with Submodular Valuations
201010
5 201610
6 20169
7 20097
8 20157
9 20155
10 20185
11 20114
12 20203
13 20183
14 20102
15 20122
16 20092
17 20092
18 20111
19 20101
20 20141

About Iftah Gamzu

Iftah Gamzu is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research, Information Systems and Artificial Intelligence, having authored 22 papers that have together received 175 indexed citations. Recurring topics across this work include Optimization and Search Problems (9 papers), Complexity and Algorithms in Graphs (7 papers), Auction Theory and Applications (4 papers), Spam and Phishing Detection (4 papers), Machine Learning and Algorithms (3 papers), Web Data Mining and Analysis (3 papers), Advanced Graph Theory Research (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Management Science and Operations Research (60 citations), Marketing (34 citations), Information Systems and Management (19 citations), Computational Theory and Mathematics (42 citations) and Computer Networks and Communications (60 citations). Iftah Gamzu has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Moshe Tennenholtz, Noga Alon, Yossi Azar, Renato Paes Leme, Michal Feldman, Yuval Emek, Danny Segev, Xiaoxin Yin, Yoelle Maarek and Liane Lewin-Eytan. Their work appears in journals such as ACM Transactions on Algorithms, Theory of Computing Systems, Internet Mathematics, Algorithmica and Theoretical Computer Science.

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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