Imed Bouchrika
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 10%
- Co-authors
- Mark NixonJohn N. CarterNouzha HarratiMichela GoffredoAbdelkamel TariJohn CarterGary WillsVanissa Wanick
- Topics
- Gait Recognition and Analysis (25 papers)Human Pose and Action Recognition (18 papers)Video Surveillance and Tracking Methods (16 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Computers in Human BehaviorNeurocomputingIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- AlgeriaUnited KingdomItaly
In The Last Decade
Imed Bouchrika
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 733
- Biomedical Engineering 549
- Human-Computer Interaction 222
- Artificial Intelligence 216
- Developmental and Educational Psychology 133
Countries citing papers authored by Imed Bouchrika
This map shows the geographic impact of Imed Bouchrika'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 Imed Bouchrika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imed Bouchrika more than expected).
Fields of papers citing papers by Imed Bouchrika
This network shows the impact of papers produced by Imed Bouchrika. 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 Imed Bouchrika. The network helps show where Imed Bouchrika may publish in the future.
Co-authorship network of co-authors of Imed Bouchrika
This figure shows the co-authorship network connecting the top 25 collaborators of Imed Bouchrika. A scholar is included among the top collaborators of Imed Bouchrika 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 Imed Bouchrika. Imed Bouchrika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 55 | |
| 11 | 9 | |
| 12 | 171 | |
| 13 | 13 | |
| 14 | International Conference on Pattern Recognition | 234 |
| 15 | 166 | |
| 16 | 7 | |
| 17 | 41 | |
| 18 | 8 | |
| 19 | 18 | |
| 20 | Markerless Feature Extraction for Gait Analysis | 10 |
About Imed Bouchrika
Imed Bouchrika is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gait Recognition and Analysis (25 papers), Human Pose and Action Recognition (18 papers) and Video Surveillance and Tracking Methods (16 papers). The work is most often cited by research in Human-Computer Interaction (222 citations), Computer Vision and Pattern Recognition (733 citations) and Computer Science Applications (99 citations). Imed Bouchrika has collaborated with scholars based in Algeria, United Kingdom and Italy. Frequent co-authors include Mark Nixon, John N. Carter, Nouzha Harrati, Michela Goffredo, Abdelkamel Tari, John Carter, Gary Wills, Vanissa Wanick, J.N. Carter and Georg Thallinger. Their work appears in journals such as Computers in Human Behavior, Neurocomputing and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.