E. Mine Çinar
Impact in
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction
-
- Stock Market Forecasting Methods
Papers in
-
- Fault Detection and Control Systems 11
- Machine Fault Diagnosis Techniques 11
- Co-authors
- Nicholas A. Lash (2 shared papers)Linda Salchenberger (2 shared papers)Ahmet Yazıcı (11 shared papers)Kemal Özkan (4 shared papers)Yixuan Wang (1 shared paper)Richard E. Waugh (1 shared paper)Jiandi Wan (1 shared paper)Sitong Zhou (1 shared paper)
- Journals
- IEEE Access (2 papers)Sensors (2 papers)Neural Computing and Applications (2 papers)Decision Sciences (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
E. Mine Çinar
45 papers receiving 936 citations
Peers
Comparison fields: 5 of 123
- Accounting 273
- Management Science and Operations Research 156
- Finance 113
- Artificial Intelligence 304
- Control and Systems Engineering 147
Countries citing papers authored by E. Mine Çinar
This map shows the geographic impact of E. Mine Çinar'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 E. Mine Çinar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Mine Çinar more than expected).
Fields of papers citing papers by E. Mine Çinar
This network shows the impact of papers produced by E. Mine Çinar. 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 E. Mine Çinar. The network helps show where E. Mine Çinar may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Mine Çinar, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 419 | |
| 2 | 2015 | 158 | |
| 3 | 2022 | 52 | |
| 4 | 1994 | 40 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 27 | |
| 8 | 2016 | 25 | |
| 9 | 2011 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 1987 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 1999 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2009 | 12 | |
| 16 | 2024 | 11 | |
| 17 | Neural Networks: A New Tool for Predicting Thrift Failures | 1992 | 9 |
| 18 | 1991 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2022 | 8 |
About E. Mine Çinar
E. Mine Çinar is a scholar working on Control and Systems Engineering, Economics and Econometrics, Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (11 papers), Machine Fault Diagnosis Techniques (11 papers), Anomaly Detection Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Digital Transformation in Industry (3 papers), Corporate Finance and Governance (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Gender, Labor, and Family Dynamics (3 papers). The work is most often cited by research in Accounting (273 citations), Management Science and Operations Research (156 citations), Finance (113 citations), Artificial Intelligence (304 citations) and Control and Systems Engineering (147 citations). E. Mine Çinar has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Nicholas A. Lash, Linda Salchenberger, Ahmet Yazıcı, Kemal Özkan, Yixuan Wang, Richard E. Waugh, Jiandi Wan, Sitong Zhou, Ferat Sahin and Joseph Johnson. Their work appears in journals such as IEEE Access, Sensors, Neural Computing and Applications, Decision Sciences and Proceedings of the National Academy of Sciences.
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.