Yevgeniy Dodis

65 papers receiving 3.6k citations

Hit Papers

Algorithmic Game Theory2007202620132019200720084008001.2k

Peers

Yevgeniy Dodis
Comparison fields: 5 of 95
  • Artificial Intelligence 1.5k
  • Computer Networks and Communications 977
  • Management Science and Operations Research 953
  • Information Systems 952
  • Computer Vision and Pattern Recognition 642
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Countries citing papers authored by Yevgeniy Dodis

Since Specialization
Citations

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

Fields of papers citing papers by Yevgeniy Dodis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yevgeniy Dodis

This figure shows the co-authorship network connecting the top 25 collaborators of Yevgeniy Dodis. A scholar is included among the top collaborators of Yevgeniy Dodis 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 Yevgeniy Dodis. Yevgeniy Dodis 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 2
2 0
3 1
4 6
5
Algorithmic Game Theorybreakdown →
1422
6 9
7 9
8
On the relation between the ideal cipher and the random oracle models
2
9
Public Key Cryptography - PKC 2006: 9th International Conference on Theory and Practice in Public-Key Cryptography, New York, NY, USA, April 24-26, 2006. ... (Lecture Notes in Computer Science)
2
10
On cryptographic techniques for digital rights management
6
11 93
12
Improved randomness extraction from two independent sources
3
13 23
14
Public key broadcast encryption for stateless receivers
32
15
Proxy cryptography revisted
152
16
Proactive Two-Party Signatures for User Authentication.
30
17
Impossibility of Black-Box Reduction from Non-Adaptively to Adaptively Secure Coin-Flipping
5
18
A Cryptographic Solution to a Game Theoretic Problem
9
19
Parallel Reducibility for Information-Theoretically Secure Computation
4
20
2-Catalog segmentation problem
8

About Yevgeniy Dodis

Yevgeniy Dodis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cryptography and Data Security (31 papers), Chaos-based Image/Signal Encryption (18 papers) and Cryptographic Implementations and Security (17 papers). The work is most often cited by research in Management Science and Operations Research (953 citations), Artificial Intelligence (1.5k citations) and Computer Networks and Communications (977 citations). Yevgeniy Dodis has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Leonid Reyzin, Adam Smith, Rafail Ostrovsky, Tim Roughgarden, Richard Cole, Christos H. Papadimitriou, David C. Parkes, Ramesh Johari, Avrim Blum and James Schummer. Their work appears in journals such as IEEE Transactions on Information Theory, SIAM Journal on Computing and Journal of Computer and System Sciences.

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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