Ali Dağ
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
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- Imbalanced Data Classification Techniques 6
- Sentiment Analysis and Opinion Mining 2
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- Stock Market Forecasting Methods 3
- Co-authors
- Asil Oztekin (8 shared papers)Kazim Topuz (3 shared papers)Serhat Simsek (10 shared papers)Babak Daneshvar Rouyendegh (2 shared papers)Mehmet Bayram Yildirim (2 shared papers)Fadel M. Megahed (2 shared papers)Ferhat D. Zengul (1 shared paper)Ammar Almehmi (1 shared paper)
- Journals
- Decision Support Systems (6 papers)Information Systems Frontiers (2 papers)Annals of Operations Research (2 papers)Expert Systems with Applications (2 papers)Journal of Business Research (2 papers)
- Partner nations
- United StatesTürkiyeIran
In The Last Decade
Ali Dağ
25 papers receiving 610 citations
Peers
Comparison fields: 5 of 115
- Health Information Management 96
- Health Informatics 23
- Transplantation 45
- Management Science and Operations Research 135
- Management Information Systems 59
Countries citing papers authored by Ali Dağ
This map shows the geographic impact of Ali Dağ'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 Ali Dağ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Dağ more than expected).
Fields of papers citing papers by Ali Dağ
This network shows the impact of papers produced by Ali Dağ. 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 Ali Dağ. The network helps show where Ali Dağ may publish in the future.
Co-authors
The 20 scholars most cited alongside Ali Dağ, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2016 | 71 | |
| 3 | 2016 | 69 | |
| 4 | 2016 | 60 | |
| 5 | 2019 | 51 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 37 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2015 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2019 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2015 | 5 | |
| 19 | 2021 | 4 | |
| 20 | A Bayesian Approach to Detect the Firms with Material Weakness in Internal Control | 2018 | 3 |
About Ali Dağ
Ali Dağ is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Information Systems and Surgery, having authored 26 papers that have together received 629 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Healthcare Operations and Scheduling Optimization (3 papers), Stock Market Forecasting Methods (3 papers), Big Data and Business Intelligence (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Hydrological Forecasting Using AI (2 papers), Blockchain Technology Applications and Security (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Health Information Management (96 citations), Health Informatics (23 citations), Transplantation (45 citations), Management Science and Operations Research (135 citations) and Management Information Systems (59 citations). Ali Dağ has collaborated with scholars based in United States, Türkiye and Iran. Frequent co-authors include Asil Oztekin, Kazim Topuz, Serhat Simsek, Babak Daneshvar Rouyendegh, Mehmet Bayram Yildirim, Fadel M. Megahed, Ferhat D. Zengul, Ammar Almehmi, Eyyüb Y. Kıbış and Ugur Kursuncu. Their work appears in journals such as Decision Support Systems, Information Systems Frontiers, Annals of Operations Research, Expert Systems with Applications and Journal of Business Research.
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.