Serhat Simsek
Impact in
- Health Informatics top 10%
-
- Artificial Intelligence in Healthcare
Papers in
-
- Imbalanced Data Classification Techniques 4
- AI in cancer detection 4
-
- Healthcare Policy and Management 2
- Co-authors
- Ali Dağ (10 shared papers)Abdullah Albizri (3 shared papers)Marina Johnson (3 shared papers)Eyyüb Y. Kıbış (6 shared papers)Asil Oztekin (3 shared papers)Dursun Delen (6 shared papers)Ugur Kursuncu (1 shared paper)Edna G. Fernández-Figueroa (1 shared paper)
- Journals
- Decision Support Systems (3 papers)Expert Systems with Applications (2 papers)Annals of Operations Research (2 papers)Decision Sciences (1 paper)Information Systems Frontiers (1 paper)
- Partner nations
- United StatesTürkiyeIran
In The Last Decade
Serhat Simsek
20 papers receiving 289 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 15
- Health Information Management 41
- Management Information Systems 42
- Management Science and Operations Research 46
- Artificial Intelligence 108
Countries citing papers authored by Serhat Simsek
This map shows the geographic impact of Serhat Simsek'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 Serhat Simsek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serhat Simsek more than expected).
Fields of papers citing papers by Serhat Simsek
This network shows the impact of papers produced by Serhat Simsek. 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 Serhat Simsek. The network helps show where Serhat Simsek may publish in the future.
Co-authors
The 18 scholars most cited alongside Serhat Simsek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 52 | |
| 2 | 2019 | 51 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2020 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | A Bayesian Approach to Detect the Firms with Material Weakness in Internal Control | 2018 | 3 |
| 17 | 2020 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Serhat Simsek
Serhat Simsek is a scholar working on Artificial Intelligence, Economics and Econometrics, Information Systems, Management Science and Operations Research and Accounting, having authored 20 papers that have together received 304 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (4 papers), AI in cancer detection (4 papers), Stock Market Forecasting Methods (3 papers), Big Data and Business Intelligence (2 papers), Blockchain Technology Applications and Security (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Healthcare Policy and Management (2 papers) and Financial Distress and Bankruptcy Prediction (2 papers). The work is most often cited by research in Health Informatics (15 citations), Health Information Management (41 citations), Management Information Systems (42 citations), Management Science and Operations Research (46 citations) and Artificial Intelligence (108 citations). Serhat Simsek has collaborated with scholars based in United States, Türkiye and Iran. Frequent co-authors include Ali Dağ, Abdullah Albizri, Marina Johnson, Eyyüb Y. Kıbış, Asil Oztekin, Dursun Delen, Ugur Kursuncu, Edna G. Fernández-Figueroa, Kristof Coussement and Peter D. Waite. Their work appears in journals such as Decision Support Systems, Expert Systems with Applications, Annals of Operations Research, Decision Sciences and Information Systems Frontiers.
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.