Mehdi Teimouri
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Health Information Management top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Mohammad AlaviniaHadi ZareMostafa SalehiMehdi MotififardA. HedayatMahdi OroojiKiana ShiraniSoheila Molaei
- Topics
- Digital and Cyber Forensics (9 papers)Advanced Malware Detection Techniques (9 papers)Digital Media Forensic Detection (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Mehdi Teimouri
43 papers receiving 249 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 83
- Computer Networks and Communications 62
- Information Systems 57
- Health Information Management 51
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Mehdi Teimouri
This map shows the geographic impact of Mehdi Teimouri'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 Mehdi Teimouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Teimouri more than expected).
Fields of papers citing papers by Mehdi Teimouri
This network shows the impact of papers produced by Mehdi Teimouri. 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 Mehdi Teimouri. The network helps show where Mehdi Teimouri may publish in the future.
Co-authorship network of co-authors of Mehdi Teimouri
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Teimouri. A scholar is included among the top collaborators of Mehdi Teimouri 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 Mehdi Teimouri. Mehdi Teimouri 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | COMPARISON OF VARIOUS MACHINE LEARNING METHODS IN DIAGNOSIS OF HYPERTENSION IN DIABETICS WITH/WITHOUT CONSIDERATION OF COSTS | 2 |
| 20 | 19 |
About Mehdi Teimouri
Mehdi Teimouri is a scholar working on Signal Processing, Health Information Management and Computer Networks and Communications, having authored 47 papers that have together received 263 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (9 papers), Advanced Malware Detection Techniques (9 papers) and Digital Media Forensic Detection (8 papers). The work is most often cited by research in Health Information Management (51 citations), Signal Processing (47 citations) and Computer Networks and Communications (62 citations). Mehdi Teimouri has collaborated with scholars based in Iran, China and Türkiye. Frequent co-authors include Mohammad Alavinia, Hadi Zare, Mostafa Salehi, Mehdi Motififard, A. Hedayat, Mahdi Orooji, Kiana Shirani, Soheila Molaei, Ehsan Vahedi and Hadi Veisi. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.