Akrem Sellami
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 10%
- Remote Sensing and Land Use
Papers in
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- Remote-Sensing Image Classification 12
- Advanced Image Fusion Techniques 9
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- Remote Sensing and Land Use 11
- Co-authors
- Salvatore Tabbone (2 shared papers)Imed Riadh Farah (10 shared papers)Mohamed Farah (3 shared papers)Basel Solaiman (2 shared papers)Senlin Luo (2 shared papers)Hassine Moungla (2 shared papers)Hakima Khelifi (2 shared papers)Boubakr Nour (2 shared papers)
In The Last Decade
Akrem Sellami
16 papers receiving 548 citations
Peers
Comparison fields: 5 of 71
- Media Technology 316
- Atmospheric Science 205
- Computer Vision and Pattern Recognition 136
- Analytical Chemistry 50
- Computer Networks and Communications 116
Countries citing papers authored by Akrem Sellami
This map shows the geographic impact of Akrem Sellami'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 Akrem Sellami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akrem Sellami more than expected).
Fields of papers citing papers by Akrem Sellami
This network shows the impact of papers produced by Akrem Sellami. 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 Akrem Sellami. The network helps show where Akrem Sellami may publish in the future.
Co-authors
The 17 scholars most cited alongside Akrem Sellami, 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 | 2021 | 141 | |
| 2 | 2019 | 109 | |
| 3 | 2018 | 88 | |
| 4 | 2020 | 59 | |
| 5 | 2018 | 49 | |
| 6 | 2018 | 23 | |
| 7 | 2022 | 19 | |
| 8 | 2016 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 |
About Akrem Sellami
Akrem Sellami is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Computer Networks and Communications and Biomedical Engineering, having authored 18 papers that have together received 562 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (12 papers), Remote Sensing and Land Use (11 papers), Advanced Image Fusion Techniques (9 papers), Advanced Chemical Sensor Technologies (2 papers), Caching and Content Delivery (2 papers), Neural dynamics and brain function (1 paper), Face and Expression Recognition (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Media Technology (316 citations), Atmospheric Science (205 citations), Computer Vision and Pattern Recognition (136 citations), Analytical Chemistry (50 citations) and Computer Networks and Communications (116 citations). Akrem Sellami has collaborated with scholars based in France, Tunisia and China. Frequent co-authors include Salvatore Tabbone, Imed Riadh Farah, Mohamed Farah, Basel Solaiman, Senlin Luo, Hassine Moungla, Hakima Khelifi, Boubakr Nour, Ali Ben Abbes and Vincent Barra. Their work appears in journals such as Pattern Recognition Letters, Spatial Statistics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.