Djamel Bouchaffra
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Media Technology top 10%
- Information Systems
- Co-authors
- Franz PernkopfAbbes AmiraNabil ZerroukiVenu GovindarajuJindong TanSargur N. SrihariDiane M. BeckMohamed Cheriet
- Topics
- Natural Language Processing Techniques (9 papers)Handwritten Text Recognition Techniques (7 papers)Face and Expression Recognition (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United StatesAlgeriaFrance
In The Last Decade
Djamel Bouchaffra
28 papers receiving 414 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 202
- Computer Vision and Pattern Recognition 177
- Signal Processing 75
- Media Technology 53
- Information Systems 32
Countries citing papers authored by Djamel Bouchaffra
This map shows the geographic impact of Djamel Bouchaffra'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 Djamel Bouchaffra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djamel Bouchaffra more than expected).
Fields of papers citing papers by Djamel Bouchaffra
This network shows the impact of papers produced by Djamel Bouchaffra. 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 Djamel Bouchaffra. The network helps show where Djamel Bouchaffra may publish in the future.
Co-authorship network of co-authors of Djamel Bouchaffra
This figure shows the co-authorship network connecting the top 25 collaborators of Djamel Bouchaffra. A scholar is included among the top collaborators of Djamel Bouchaffra 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 Djamel Bouchaffra. Djamel Bouchaffra 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 | Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems. | 0 |
| 3 | 2 | |
| 4 | 30 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 38 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 191 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition | 0 |
| 19 | A Thematic Knowledge Extraction Modelling through a Markovian Random Field Approach. | 0 |
| 20 | 0 |
About Djamel Bouchaffra
Djamel Bouchaffra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 39 papers that have together received 435 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Handwritten Text Recognition Techniques (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Signal Processing (75 citations) and Artificial Intelligence (202 citations). Djamel Bouchaffra has collaborated with scholars based in United States, Algeria and France. Frequent co-authors include Franz Pernkopf, Abbes Amira, Nabil Zerrouki, Venu Govindaraju, Jindong Tan, Sargur N. Srihari, Diane M. Beck, Mohamed Cheriet, Pierre‐Marc Jodoin and Mohamed Zohdy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.
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.