Rafet Sifa
Impact in
- Computational Mathematics top 10%
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Customer churn and segmentation
Papers in
-
- Artificial Intelligence in Games 22
- Topic Modeling 22
- Natural Language Processing Techniques 14
- Advanced Text Analysis Techniques 8
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- Digital Games and Media 21
- Co-authors
- Christian Bauckhage (54 shared papers)Anders Drachen (32 shared papers)Christian Thurau (7 shared papers)Kristian Kersting (4 shared papers)Fabian Hadiji (4 shared papers)Julian Runge (4 shared papers)Alessandro Canossa (2 shared papers)Günter Wallner (5 shared papers)
- Journals
- European Radiology (2 papers)Scientific Reports (1 paper)Journal of Clinical Medicine (1 paper)IEEE Transactions on Computational Intelligence and AI in Games (1 paper)IEEE Access (1 paper)
- Partner nations
- GermanyUnited KingdomDenmark
In The Last Decade
Rafet Sifa
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Computational Mathematics 13
- Marketing 168
- Artificial Intelligence 523
- Developmental and Educational Psychology 173
- Health Informatics 17
Countries citing papers authored by Rafet Sifa
This map shows the geographic impact of Rafet Sifa'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 Rafet Sifa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafet Sifa more than expected).
Fields of papers citing papers by Rafet Sifa
This network shows the impact of papers produced by Rafet Sifa. 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 Rafet Sifa. The network helps show where Rafet Sifa may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafet Sifa, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 111 | |
| 2 | 2014 | 106 | |
| 3 | 2012 | 64 | |
| 4 | 2017 | 64 | |
| 5 | 2014 | 63 | |
| 6 | 2015 | 53 | |
| 7 | 2014 | 46 | |
| 8 | 2015 | 32 | |
| 9 | 2016 | 32 | |
| 10 | 2014 | 32 | |
| 11 | 2022 | 28 | |
| 12 | 2018 | 26 | |
| 13 | 2013 | 25 | |
| 14 | Archetypal Game Recommender Systems | 2014 | 25 |
| 15 | 2018 | 24 | |
| 16 | 2022 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2016 | 20 | |
| 20 | 2014 | 20 |
About Rafet Sifa
Rafet Sifa is a scholar working on Artificial Intelligence, Sociology and Political Science, Clinical Psychology, Information Systems and Management Science and Operations Research, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (22 papers), Topic Modeling (22 papers), Digital Games and Media (21 papers), Natural Language Processing Techniques (14 papers), Gambling Behavior and Treatments (13 papers), Sports Analytics and Performance (9 papers), Stock Market Forecasting Methods (8 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Computational Mathematics (13 citations), Marketing (168 citations), Artificial Intelligence (523 citations), Developmental and Educational Psychology (173 citations) and Health Informatics (17 citations). Rafet Sifa has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Christian Bauckhage, Anders Drachen, Christian Thurau, Kristian Kersting, Fabian Hadiji, Julian Runge, Alessandro Canossa, Günter Wallner, Lars Hillebrand and Simone Kriglstein. Their work appears in journals such as European Radiology, Scientific Reports, Journal of Clinical Medicine, IEEE Transactions on Computational Intelligence and AI in Games and IEEE Access.
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.