Hamid Tairi
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Information Systems top 5%
- Co-authors
- Jamal RiffiMohamed Adnane MahrazAli YahyaouyOmar ElharroussMy Abdelouahed SabriSomaya Al-MáadeedMohamed O. ElasriKhalid Satori
- Topics
- Video Surveillance and Tracking Methods (29 papers)Advanced Vision and Imaging (24 papers)Brain Tumor Detection and Classification (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Hamid Tairi
158 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 721
- Artificial Intelligence 393
- Radiology, Nuclear Medicine and Imaging 172
- Neurology 165
- Information Systems 144
Countries citing papers authored by Hamid Tairi
This map shows the geographic impact of Hamid Tairi'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 Hamid Tairi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Tairi more than expected).
Fields of papers citing papers by Hamid Tairi
This network shows the impact of papers produced by Hamid Tairi. 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 Hamid Tairi. The network helps show where Hamid Tairi may publish in the future.
Co-authorship network of co-authors of Hamid Tairi
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Tairi. A scholar is included among the top collaborators of Hamid Tairi 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 Hamid Tairi. Hamid Tairi 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 | 9 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 28 | |
| 19 | Energy management in an electrical hybrid system using a fuzzy inference control system | 1 |
| 20 | Self-calibration using a particular motion of camera | 23 |
About Hamid Tairi
Hamid Tairi is a scholar working on Computer Vision and Pattern Recognition, Neurology and Energy Engineering and Power Technology, having authored 170 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (29 papers), Advanced Vision and Imaging (24 papers) and Brain Tumor Detection and Classification (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (721 citations), Neurology (165 citations) and Computer Science Applications (97 citations). Hamid Tairi has collaborated with scholars based in Morocco, France and India. Frequent co-authors include Jamal Riffi, Mohamed Adnane Mahraz, Ali Yahyaouy, Omar Elharrouss, My Abdelouahed Sabri, Somaya Al-Máadeed, Mohamed O. Elasri, Khalid Satori, Abderrahim Saaidi and Badraddine Aghoutane. 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.