Mohammad Kazem Moghimi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Media Technology top 10%
- Ocean Engineering
- Co-authors
- Farahnaz MohannaMohammad R. KhosraviKhosro RezaeeSerge BelongieMohammad SaberianNuno VasconcelosJian YangSeyed Jalaleddin Mousavirad
- Topics
- Video Surveillance and Tracking Methods (7 papers)Image Enhancement Techniques (7 papers)Advanced Image Processing Techniques (4 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsPersonal and Ubiquitous ComputingSN Applied Sciences
- Partner nations
- IranChinaUnited States
In The Last Decade
Mohammad Kazem Moghimi
21 papers receiving 425 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 290
- Artificial Intelligence 178
- Computer Networks and Communications 64
- Media Technology 46
- Ocean Engineering 32
Countries citing papers authored by Mohammad Kazem Moghimi
This map shows the geographic impact of Mohammad Kazem Moghimi'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 Mohammad Kazem Moghimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Kazem Moghimi more than expected).
Fields of papers citing papers by Mohammad Kazem Moghimi
This network shows the impact of papers produced by Mohammad Kazem Moghimi. 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 Mohammad Kazem Moghimi. The network helps show where Mohammad Kazem Moghimi may publish in the future.
Co-authorship network of co-authors of Mohammad Kazem Moghimi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Kazem Moghimi. A scholar is included among the top collaborators of Mohammad Kazem Moghimi 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 Mohammad Kazem Moghimi. Mohammad Kazem Moghimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 21 | |
| 5 | 7 | |
| 6 | 37 | |
| 7 | 110 | |
| 8 | 46 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | Moving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos. | 6 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 92 | |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 6 |
About Mohammad Kazem Moghimi
Mohammad Kazem Moghimi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Safety, Risk, Reliability and Quality, having authored 21 papers that have together received 450 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Image Enhancement Techniques (7 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Artificial Intelligence (178 citations) and Media Technology (46 citations). Mohammad Kazem Moghimi has collaborated with scholars based in Iran, China and United States. Frequent co-authors include Farahnaz Mohanna, Mohammad R. Khosravi, Khosro Rezaee, Serge Belongie, Mohammad Saberian, Nuno Vasconcelos, Jian Yang, Seyed Jalaleddin Mousavirad, Varun G. Menon and Mohsen Heidari. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Personal and Ubiquitous Computing and SN Applied 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.