Aviv Zohar

53 papers receiving 1.7k citations

Hit Papers

Eclipse attacks on Bitcoin's peer-to-peer network20152026201820222015201750100150200250

Peers

Aviv Zohar
Comparison fields: 5 of 72
  • Information Systems 1.1k
  • Computer Networks and Communications 680
  • Artificial Intelligence 544
  • Management Science and Operations Research 351
  • Economics and Econometrics 304
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Marvin A. Sirbu United States
Alexandros Moukas United States
Ηλίας Κουτσουπιάς United States
Raghava Rao Mukkamala Denmark
Michal Feldman Israel
Nikhil R. Devanur United States
Guido Governatori Australia
Hongke Zhao China
Christopher Brooks United States
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Citations per field
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Citations per year

Countries citing papers authored by Aviv Zohar

Since Specialization
Citations

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

Fields of papers citing papers by Aviv Zohar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aviv Zohar

This figure shows the co-authorship network connecting the top 25 collaborators of Aviv Zohar. A scholar is included among the top collaborators of Aviv Zohar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aviv Zohar. Aviv Zohar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 31
3 55
4 0
5
Online pricing with strategic and patient buyers
4
6 127
7 149
8
Best-Response Mechanisms.
17
9 7
10 6
11 4
12 4
13 25
14
Using Swamps to Improve Optimal Pathfinding (Extended Abstract)
2
15 14
16 5
17
Multi-winner elections: complexity of manipulation, control, and winner-determination
31
18
Learning voting trees
11
19
Mechanisms for partial information elicitation: the truth, but not the whole truth
1
20 10

About Aviv Zohar

Aviv Zohar is a scholar working on Management Science and Operations Research, Information Systems and Computer Networks and Communications, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (24 papers), Auction Theory and Applications (19 papers) and Game Theory and Voting Systems (12 papers). The work is most often cited by research in Information Systems (1.1k citations), Computer Networks and Communications (680 citations) and Management Science and Operations Research (351 citations). Aviv Zohar has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Jeffrey S. Rosenschein, Maria Apostolaki, Laurent Vanbever, Ariel D. Procaccia, Sharon Goldberg, Ethan Heilman, Yonatan Sompolinsky, Sigal Oren, Moshe Babaioff and Shahar Dobzinski. Their work appears in journals such as Communications of the ACM, ACM Computing Surveys and Artificial Intelligence.

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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