Kobi Gal
Impact in
- General Decision Sciences top 5%
-
- Online Learning and Analytics
Papers in ⓘ
-
- Online Learning and Analytics 18
- Mobile Crowdsensing and Crowdsourcing 15
- Co-authors
- Ofra Amir (5 shared papers)Avi Pfeffer (16 shared papers)David G. Rand (2 shared papers)Sarit Kraus (19 shared papers)Avi Segal (27 shared papers)Barbara J. Grosz (11 shared papers)Stuart M. Shieber (6 shared papers)Ece Kamar (6 shared papers)
- Journals
- Autonomous Agents and Multi-Agent Systems (5 papers)Artificial Intelligence (5 papers)ACM Transactions on Intelligent Systems and Technology (5 papers)IEEE Transactions on Learning Technologies (4 papers)Knowledge and Information Systems (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Kobi Gal
124 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- General Decision Sciences 108
- Computer Science Applications 252
- Safety Research 378
- Management Science and Operations Research 323
- Artificial Intelligence 716
Countries citing papers authored by Kobi Gal
This map shows the geographic impact of Kobi Gal'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 Kobi Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kobi Gal more than expected).
Fields of papers citing papers by Kobi Gal
This network shows the impact of papers produced by Kobi Gal. 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 Kobi Gal. The network helps show where Kobi Gal may publish in the future.
Co-authors
The 25 scholars most cited alongside Kobi Gal, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 258 | |
| 2 | 2019 | 67 | |
| 3 | 2002 | 67 | |
| 4 | 2010 | 49 | |
| 5 | Learning social preferences in games | 2004 | 42 |
| 6 | 2008 | 42 | |
| 7 | 2011 | 39 | |
| 8 | 2018 | 38 | |
| 9 | Modeling reciprocal behavior in human bilateral negotiation | 2007 | 36 |
| 10 | 2013 | 36 | |
| 11 | 2011 | 36 | |
| 12 | 2016 | 33 | |
| 13 | 2015 | 33 | |
| 14 | EduRank: A Collaborative Filtering Approach to Personalization in E-learning. | 2014 | 31 |
| 15 | 2012 | 30 | |
| 16 | 2011 | 30 | |
| 17 | 2003 | 29 | |
| 18 | 2019 | 27 | |
| 19 | 2009 | 26 | |
| 20 | 2011 | 26 |
About Kobi Gal
Kobi Gal is a scholar working on Computer Science Applications, General Decision Sciences, Safety Research, Management Science and Operations Research and Artificial Intelligence, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (23 papers), Auction Theory and Applications (23 papers), Intelligent Tutoring Systems and Adaptive Learning (18 papers), Online Learning and Analytics (18 papers), Multi-Agent Systems and Negotiation (17 papers), Game Theory and Applications (16 papers), Mobile Crowdsensing and Crowdsourcing (15 papers) and Logic, Reasoning, and Knowledge (14 papers). The work is most often cited by research in General Decision Sciences (108 citations), Computer Science Applications (252 citations), Safety Research (378 citations), Management Science and Operations Research (323 citations) and Artificial Intelligence (716 citations). Kobi Gal has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ofra Amir, Avi Pfeffer, David G. Rand, Sarit Kraus, Avi Segal, Barbara J. Grosz, Stuart M. Shieber, Ece Kamar, Noam Peled and Reuth Mirsky. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Artificial Intelligence, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Learning Technologies and Knowledge and Information Systems.
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.