Salem Said
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
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- Image Retrieval and Classification Techniques 5
- Advanced Image and Video Retrieval Techniques 3
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- Morphological variations and asymmetry 6
- Co-authors
- Yannick Berthoumieu (9 shared papers)Paolo Zanini (2 shared papers)Marco Congedo (1 shared paper)Christian Jutten (1 shared paper)Nicolas Le Bihan (5 shared papers)Stephen J. Sangwine (2 shared papers)Jonathan H. Manton (7 shared papers)Lionel Bombrun (8 shared papers)
In The Last Decade
Salem Said
18 papers receiving 445 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 254
- Human-Computer Interaction 61
- Signal Processing 89
- Cellular and Molecular Neuroscience 67
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Salem Said
This map shows the geographic impact of Salem Said'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 Salem Said with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salem Said more than expected).
Fields of papers citing papers by Salem Said
This network shows the impact of papers produced by Salem Said. 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 Salem Said. The network helps show where Salem Said may publish in the future.
Co-authors
The 18 scholars most cited alongside Salem Said, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 276 | |
| 2 | 2008 | 65 | |
| 3 | 2016 | 24 | |
| 4 | 2015 | 11 | |
| 5 | 2012 | 10 | |
| 6 | 2015 | 10 | |
| 7 | 2013 | 9 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2014 | 6 | |
| 12 | 2010 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2009 | 0 | |
| 20 | 2013 | 0 |
About Salem Said
Salem Said is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Artificial Intelligence, Statistics and Probability and Applied Mathematics, having authored 21 papers that have together received 452 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (6 papers), Image Retrieval and Classification Techniques (5 papers), Bayesian Methods and Mixture Models (5 papers), Stochastic processes and financial applications (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Mathematical Analysis and Transform Methods (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Cognitive Neuroscience (254 citations), Human-Computer Interaction (61 citations), Signal Processing (89 citations), Cellular and Molecular Neuroscience (67 citations) and Computer Vision and Pattern Recognition (77 citations). Salem Said has collaborated with scholars based in France, Australia and Romania. Frequent co-authors include Yannick Berthoumieu, Paolo Zanini, Marco Congedo, Christian Jutten, Nicolas Le Bihan, Stephen J. Sangwine, Jonathan H. Manton, Lionel Bombrun, Marc Donias and Jean‐Pierre da Costa. Their work appears in journals such as IEEE Transactions on Information Theory, Pattern Recognition Letters, Signal Processing, IEEE Transactions on Biomedical Engineering and IEEE Signal Processing 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.