Tahir Ekin
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Health Information Management top 5%
- Economics and Econometrics
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Refik SoyerFabrizio RuggeriFrancesca IevaLawrence FultonLucian L. VisinescuGarry L. WhiteNicholas G. PolsonKaren L. Rascati
- Topics
- Imbalanced Data Classification Techniques (7 papers)Advanced Statistical Process Monitoring (6 papers)Healthcare Policy and Management (5 papers)
- Cited by
- Health Information ManagementStatistics, Probability and UncertaintyArtificial Intelligence
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsReliability Engineering & System Safety
- Partner nations
- United StatesItalySpain
In The Last Decade
Tahir Ekin
31 papers receiving 288 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 139
- Management Science and Operations Research 47
- Health Information Management 45
- Economics and Econometrics 42
- Statistics, Probability and Uncertainty 40
Countries citing papers authored by Tahir Ekin
This map shows the geographic impact of Tahir Ekin'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 Tahir Ekin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahir Ekin more than expected).
Fields of papers citing papers by Tahir Ekin
This network shows the impact of papers produced by Tahir Ekin. 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 Tahir Ekin. The network helps show where Tahir Ekin may publish in the future.
Co-authorship network of co-authors of Tahir Ekin
This figure shows the co-authorship network connecting the top 25 collaborators of Tahir Ekin. A scholar is included among the top collaborators of Tahir Ekin 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 Tahir Ekin. Tahir Ekin 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 | 1 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | Healthcare Fraud Data Mining Methods: A Look Back and Look Ahead. | 13 |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 22 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 26 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 6 | |
| 20 | Applications of Bayesian Methods in Detection of Healthcare Frauds | 15 |
About Tahir Ekin
Tahir Ekin is a scholar working on Health Information Management, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 33 papers that have together received 305 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (7 papers), Advanced Statistical Process Monitoring (6 papers) and Healthcare Policy and Management (5 papers). The work is most often cited by research in Health Information Management (45 citations), Statistics, Probability and Uncertainty (40 citations) and Artificial Intelligence (139 citations). Tahir Ekin has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Refik Soyer, Fabrizio Ruggeri, Francesca Ieva, Lawrence Fulton, Lucian L. Visinescu, Garry L. White, Nicholas G. Polson, Karen L. Rascati, Jamie C. Barner and Mia K. Markey. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Reliability Engineering & System Safety.
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.