Salih Tutun
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Aerospace Engineering
- Social Psychology
- Co-authors
- Mohammad T. KhasawnehAbdullah AlbizriAntoine HarfoucheMarina JohnsonSina KhanmohammadiChun-An ChouJun ZhuangAbdulaziz Ahmed
- Topics
- Machine Learning in Healthcare (3 papers)Energy Load and Power Forecasting (3 papers)Organ Donation and Transplantation (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsEnergy
- Partner nations
- United StatesTürkiyeFrance
In The Last Decade
Salih Tutun
16 papers receiving 343 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 102
- Electrical and Electronic Engineering 74
- Management Science and Operations Research 57
- Aerospace Engineering 52
- Social Psychology 41
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 of co-authors of Salih Tutun
This figure shows the co-authorship network connecting the top 25 collaborators of Salih Tutun. A scholar is included among the top collaborators of Salih Tutun 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 Salih Tutun. Salih Tutun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 74 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 9 | |
| 11 | Detecting psychological symptom patterns using regularized multinomial logistic regression | 1 |
| 12 | 30 | |
| 13 | 3 | |
| 14 | 54 | |
| 15 | 32 | |
| 16 | 55 | |
| 17 | 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) and Organ Donation and Transplantation (2 papers). 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy.
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.