Sherief Abdallah
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Information Systems top 10%
- Co-authors
- Victor LesserIyad RahwanNur SiyamOmar AlqaryoutiJean‐François BonnefonChongjie ZhangManuel CebriánMichael Kaisers
- Topics
- Reinforcement Learning in Robotics (13 papers)Multi-Agent Systems and Negotiation (10 papers)Auction Theory and Applications (8 papers)
- Partner nations
- United Arab EmiratesUnited StatesUnited Kingdom
In The Last Decade
Sherief Abdallah
56 papers receiving 838 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 399
- Computer Networks and Communications 166
- Management Science and Operations Research 149
- Sociology and Political Science 138
- Information Systems 100
Countries citing papers authored by Sherief Abdallah
This map shows the geographic impact of Sherief Abdallah'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 Sherief Abdallah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherief Abdallah more than expected).
Fields of papers citing papers by Sherief Abdallah
This network shows the impact of papers produced by Sherief Abdallah. 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 Sherief Abdallah. The network helps show where Sherief Abdallah may publish in the future.
Co-authorship network of co-authors of Sherief Abdallah
This figure shows the co-authorship network connecting the top 25 collaborators of Sherief Abdallah. A scholar is included among the top collaborators of Sherief Abdallah 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 Sherief Abdallah. Sherief Abdallah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 130 | |
| 6 | Addressing environment non-stationarity by repeating Q-learning updates | 24 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 17 | |
| 13 | 43 | |
| 14 | 1 | |
| 15 | 31 | |
| 16 | The Effects of Goal Revelation on Computer-Mediated Negotiation | 6 |
| 17 | Formal argumentation and human reasoning: The case of reinstatement | 1 |
| 18 | 9 | |
| 19 | 5 | |
| 20 | 14 |
About Sherief Abdallah
Sherief Abdallah is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems and Management, having authored 62 papers that have together received 903 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Multi-Agent Systems and Negotiation (10 papers) and Auction Theory and Applications (8 papers). The work is most often cited by research in Artificial Intelligence (399 citations), Management Science and Operations Research (149 citations) and Safety Research (83 citations). Sherief Abdallah has collaborated with scholars based in United Arab Emirates, United States and United Kingdom. Frequent co-authors include Victor Lesser, Iyad Rahwan, Nur Siyam, Omar Alqaryouti, Jean‐François Bonnefon, Chongjie Zhang, Manuel Cebrián, Michael Kaisers, Azim Shariff and Jacob W. Crandall. Their work appears in journals such as Nature Communications, IEEE Access and Journal of Machine Learning Research.
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.