Salih Tutun
- Health Informatics top 10%
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- Grey System Theory Applications 2
- Artificial Intelligence top 10%
- Machine Learning in Healthcare 3
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- Energy Load and Power Forecasting 3
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- Organ Donation and Transplantation 2
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- Terrorism, Counterterrorism, and Political Violence 2
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- Network Security and Intrusion Detection 2
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- Mental Health Research Topics 2
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- Image and Signal Denoising Methods 1
Salih Tutun
16 papers receiving 343 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 22
- Applied Psychology 25
- Management Science and Operations Research 57
- General Economics, Econometrics and Finance 28
- Artificial Intelligence 102
Countries citing papers authored by Salih Tutun
This map shows the geographic impact of Salih Tutun'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 Salih Tutun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salih Tutun more than expected).
Fields of papers citing papers by Salih Tutun
This network shows the impact of papers produced by Salih Tutun. 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 Salih Tutun. The network helps show where Salih Tutun may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Salih Tutun, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 74 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 9 | |
| 11 | Detecting psychological symptom patterns using regularized multinomial logistic regression | 2019 | 1 |
| 12 | 2018 | 30 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 54 | |
| 15 | 2017 | 32 | |
| 16 | 2016 | 55 | |
| 17 | 2015 | 44 |
About Salih Tutun
Salih Tutun is a scholar working on Artificial Intelligence, Management Science and Operations Research and Experimental and Cognitive Psychology, having authored 17 papers that have together received 360 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Energy Load and Power Forecasting (3 papers), Organ Donation and Transplantation (2 papers), Terrorism, Counterterrorism, and Political Violence (2 papers), Network Security and Intrusion Detection (2 papers), Grey System Theory Applications (2 papers), Mental Health Research Topics (2 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Health Informatics (22 citations), Applied Psychology (25 citations) and Management Science and Operations Research (57 citations). Salih Tutun has collaborated with scholars based in United States, Türkiye and France. Frequent co-authors include Mohammad T. Khasawneh, Abdullah Albizri, Antoine Harfouche, Marina Johnson, Sina Khanmohammadi, Chun-An Chou, Jun Zhuang, Abdulaziz Ahmed, Ning Zhou and Benyamin Khorramdel.
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.