Belkacem Fergani
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Mourad OussalahAnthony FleuryMoncef AbbasAmrane HouacineManuel DavySmaïl TedjiniLaurent ClavierHakim Lounis
- Topics
- Context-Aware Activity Recognition Systems (17 papers)Anomaly Detection Techniques and Applications (13 papers)IoT and Edge/Fog Computing (10 papers)
In The Last Decade
Belkacem Fergani
27 papers receiving 287 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 168
- Artificial Intelligence 129
- Computer Networks and Communications 110
- Electrical and Electronic Engineering 62
- Signal Processing 45
Countries citing papers authored by Belkacem Fergani
This map shows the geographic impact of Belkacem Fergani'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 Belkacem Fergani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Belkacem Fergani more than expected).
Fields of papers citing papers by Belkacem Fergani
This network shows the impact of papers produced by Belkacem Fergani. 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 Belkacem Fergani. The network helps show where Belkacem Fergani may publish in the future.
Co-authorship network of co-authors of Belkacem Fergani
This figure shows the co-authorship network connecting the top 25 collaborators of Belkacem Fergani. A scholar is included among the top collaborators of Belkacem Fergani 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 Belkacem Fergani. Belkacem Fergani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 44 | |
| 12 | 4 | |
| 13 | 55 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 21 | |
| 20 | Unsupervised speaker indexing using one-class Support Vector Machines | 4 |
About Belkacem Fergani
Belkacem Fergani is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 31 papers that have together received 300 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), Anomaly Detection Techniques and Applications (13 papers) and IoT and Edge/Fog Computing (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (168 citations), Computer Networks and Communications (110 citations) and Signal Processing (45 citations). Belkacem Fergani has collaborated with scholars based in Algeria, France and Finland. Frequent co-authors include Mourad Oussalah, Anthony Fleury, Moncef Abbas, Amrane Houacine, Manuel Davy, Smaïl Tedjini, Laurent Clavier, Hakim Lounis, Benoît Poussot and Jean‐Marc Laheurte. Their work appears in journals such as Electronics Letters, IEEE Communications Letters and Speech Communication.
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.