Esam Othman
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Image and Video Retrieval Techniques
Papers in
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- AI in cancer detection 3
- Domain Adaptation and Few-Shot Learning 2
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- Video Surveillance and Tracking Methods 3
- Advanced Image and Video Retrieval Techniques 2
- Digital Imaging for Blood Diseases 1
- Co-authors
- Yakoub Bazi (4 shared papers)Naif Alajlan (3 shared papers)Farid Melgani (3 shared papers)Haikel Alhichri (3 shared papers)Mansour Zuair (1 shared paper)Bilel Benjdira (1 shared paper)Awais Mahmood (7 shared papers)Habib Dhahri (6 shared papers)
- Journals
- IEEE Access (3 papers)Sensors (2 papers)International Journal of Remote Sensing (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- Saudi ArabiaItalyPakistan
In The Last Decade
Esam Othman
15 papers receiving 481 citations
Peers
Comparison fields: 5 of 82
- Media Technology 227
- Computer Vision and Pattern Recognition 177
- Health Informatics 8
- Atmospheric Science 102
- Artificial Intelligence 149
Countries citing papers authored by Esam Othman
This map shows the geographic impact of Esam Othman'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 Esam Othman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esam Othman more than expected).
Fields of papers citing papers by Esam Othman
This network shows the impact of papers produced by Esam Othman. 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 Esam Othman. The network helps show where Esam Othman may publish in the future.
Co-authors
The 25 scholars most cited alongside Esam Othman, 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 | 2017 | 149 | |
| 2 | 2016 | 133 | |
| 3 | 2018 | 101 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2018 | 15 | |
| 8 | 2017 | 7 | |
| 9 | 2016 | 7 | |
| 10 | 2018 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 |
About Esam Othman
Esam Othman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Information Systems and Signal Processing, having authored 15 papers that have together received 494 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Autonomous Vehicle Technology and Safety (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Media Technology (227 citations), Computer Vision and Pattern Recognition (177 citations), Health Informatics (8 citations), Atmospheric Science (102 citations) and Artificial Intelligence (149 citations). Esam Othman has collaborated with scholars based in Saudi Arabia, Italy and Pakistan. Frequent co-authors include Yakoub Bazi, Naif Alajlan, Farid Melgani, Haikel Alhichri, Mansour Zuair, Bilel Benjdira, Awais Mahmood, Habib Dhahri, Prasenjit Choudhury and Pradeep Kumar Singh. Their work appears in journals such as IEEE Access, Sensors, International Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and IEEE Geoscience and Remote Sensing Letters.
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.