Shay Moran
Impact in
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- Computability, Logic, AI Algorithms
- Complexity and Algorithms in Graphs
- Artificial Intelligence top 10%
- Machine Learning and Algorithms
Papers in
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- Machine Learning and Algorithms 24
- Algorithms and Data Compression 8
- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 4
- Machine Learning and Data Classification 4
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- Complexity and Algorithms in Graphs 11
- Computability, Logic, AI Algorithms 8
- Co-authors
- Amir Yehudayoff (17 shared papers)Po Tong (1 shared paper)Shimon Even (1 shared paper)Oded Goldreich (1 shared paper)Claude Ederer (1 shared paper)M. Fähnle (1 shared paper)Amir Shpilka (5 shared papers)Roi Livni (5 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Journal of the ACM (2 papers)Journal of Computer and System Sciences (1 paper)Computational Complexity (1 paper)Distributed Computing (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Shay Moran
36 papers receiving 251 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 76
- Artificial Intelligence 105
- Computer Networks and Communications 72
- Management Science and Operations Research 26
- Condensed Matter Physics 24
Countries citing papers authored by Shay Moran
This map shows the geographic impact of Shay Moran'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 Shay Moran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shay Moran more than expected).
Fields of papers citing papers by Shay Moran
This network shows the impact of papers produced by Shay Moran. 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 Shay Moran. The network helps show where Shay Moran may publish in the future.
Co-authors
The 25 scholars most cited alongside Shay Moran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 70 | |
| 2 | 2003 | 45 | |
| 3 | 2018 | 31 | |
| 4 | 2016 | 14 | |
| 5 | 2020 | 11 | |
| 6 | 2017 | 11 | |
| 7 | 2021 | 10 | |
| 8 | 2018 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2022 | 6 | |
| 11 | Supervised learning through the lens of compression | 2016 | 5 |
| 12 | 2018 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2016 | 2 | |
| 19 | Multiclass Boosting and the Cost of Weak Learning | 2021 | 2 |
| 20 | Sign Rank, VC Dimension and Spectral Gaps | 2014 | 2 |
About Shay Moran
Shay Moran is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 43 papers that have together received 267 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (24 papers), Complexity and Algorithms in Graphs (11 papers), Computability, Logic, AI Algorithms (8 papers), Algorithms and Data Compression (8 papers), Advanced Bandit Algorithms Research (7 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Computational Theory and Mathematics (76 citations), Artificial Intelligence (105 citations), Computer Networks and Communications (72 citations), Management Science and Operations Research (26 citations) and Condensed Matter Physics (24 citations). Shay Moran has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Amir Yehudayoff, Po Tong, Shimon Even, Oded Goldreich, Claude Ederer, M. Fähnle, Amir Shpilka, Roi Livni, Shai Ben-David and Pavel Hrubeš. Their work appears in journals such as Nature Machine Intelligence, Journal of the ACM, Journal of Computer and System Sciences, Computational Complexity and Distributed Computing.
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.