Rafet Sifa

2.5k citations
147 papers · 1.7k · h-index 21

Impact in

Papers in

Rafet Sifa

135 papers receiving 1.6k citations

Peers

Rafet Sifa
Comparison fields: 5 of 111
  • Computational Mathematics 29
  • Artificial Intelligence 780
  • Marketing 197
  • Developmental and Educational Psychology 213
  • Sociology and Political Science 600
Replace Shilad Sen with:
Shilad Sen United States
Denis Parra Chile
Nicolas Kourtellis Spain
Shyong K. Lam United States
Al Mamunur Rashid United States
Nathan Schneider United States
Ido Guy Israel
Alejandro Bellogín Spain
Michael D. Ekstrand United States
Rafet Sifa relative to Shilad Sen United States Shilad Sen's profile →
Citations per field
00.5×2×3×4×4.6×
Shilad Sen · 1×
Citations per year

Countries citing papers authored by Rafet Sifa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rafet Sifa Line = papers co-authored together Rafet Sifa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2 2014123
3 201484
4 201280
5 201771
6 201565
7 201452
8 201538
9 201835
10 201935
11 201635
12
Archetypal Game Recommender Systems
201433
13 202231
14 201829
15 201329
16 202128
17 201627
18 202226
19 201422
20 201622

About Rafet Sifa

Rafet Sifa is a scholar working on Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, Clinical Psychology and Computer Vision and Pattern Recognition, having authored 147 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Artificial Intelligence in Games (27 papers), Digital Games and Media (24 papers), Natural Language Processing Techniques (17 papers), Gambling Behavior and Treatments (15 papers), Advanced Text Analysis Techniques (15 papers), Stock Market Forecasting Methods (10 papers) and Anomaly Detection Techniques and Applications (9 papers). The work is most often cited by research in Computational Mathematics (29 citations), Artificial Intelligence (780 citations), Marketing (197 citations), Developmental and Educational Psychology (213 citations) and Sociology and Political Science (600 citations). Rafet Sifa has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Christian Bauckhage, Anders Drachen, Christian Thurau, Kristian Kersting, Fabian Hadiji, Julian Runge, Lars Hillebrand, Günter Wallner, Alessandro Canossa and Rajkumar Ramamurthy. Their work appears in journals such as Lecture notes in computer science, European Radiology, Journal of Clinical Medicine, Computers in Human Behavior 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.

Explore authors with similar magnitude of impact