Kamel Belkacem-Boussaid
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Experimental and Cognitive Psychology top 10%
- Biophysics top 5%
- Co-authors
- Metin N. GürcanHui KongThomas J. AnastasioPaul PattonGerard LozanskiAzeddine BeghdadiSiddharth SamsiOlcay Sertel
- Topics
- AI in cancer detection (8 papers)Medical Image Segmentation Techniques (5 papers)Digital Imaging for Blood Diseases (3 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Medical ImagingNeural Computation
- Partner nations
- United StatesFrance
In The Last Decade
Kamel Belkacem-Boussaid
14 papers receiving 423 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 212
- Artificial Intelligence 212
- Cognitive Neuroscience 100
- Experimental and Cognitive Psychology 100
- Biophysics 88
Countries citing papers authored by Kamel Belkacem-Boussaid
This map shows the geographic impact of Kamel Belkacem-Boussaid'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 Kamel Belkacem-Boussaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel Belkacem-Boussaid more than expected).
Fields of papers citing papers by Kamel Belkacem-Boussaid
This network shows the impact of papers produced by Kamel Belkacem-Boussaid. 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 Kamel Belkacem-Boussaid. The network helps show where Kamel Belkacem-Boussaid may publish in the future.
Co-authorship network of co-authors of Kamel Belkacem-Boussaid
This figure shows the co-authorship network connecting the top 25 collaborators of Kamel Belkacem-Boussaid. A scholar is included among the top collaborators of Kamel Belkacem-Boussaid 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 Kamel Belkacem-Boussaid. Kamel Belkacem-Boussaid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 164 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | Computer-aided classification of centroblast cells in follicular lymphoma. | 15 |
| 8 | 25 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 24 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 113 |
About Kamel Belkacem-Boussaid
Kamel Belkacem-Boussaid is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Biophysics, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Medical Image Segmentation Techniques (5 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Sensory Systems (78 citations), Biophysics (88 citations) and Computer Vision and Pattern Recognition (212 citations). Kamel Belkacem-Boussaid has collaborated with scholars based in United States and France. Frequent co-authors include Metin N. Gürcan, Hui Kong, Thomas J. Anastasio, Paul Patton, Gerard Lozanski, Azeddine Beghdadi, Siddharth Samsi, Olcay Sertel, Michael L. Pennell and Arwa Shana’ah. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Neural Computation.
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.