Chabane Djeraba

2.0k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Chabane Djeraba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chabane Djeraba has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Chabane Djeraba's work include Image Retrieval and Classification Techniques (4 papers), Video Analysis and Summarization (4 papers) and Video Surveillance and Tracking Methods (2 papers). Chabane Djeraba is often cited by papers focused on Image Retrieval and Classification Techniques (4 papers), Video Analysis and Summarization (4 papers) and Video Surveillance and Tracking Methods (2 papers). Chabane Djeraba collaborates with scholars based in France, United States and Türkiye. Chabane Djeraba's co-authors include Michael S. Lew, Ramesh Jain, Nicu Sebe, Md. Haidar Sharif, Dan A. Simovici, Mehdi Adda, Petko Valtchev, Nacim Ihaddadene, H. Briand and Ali Khenchaf and has published in prestigious journals such as Pattern Recognition, Multimedia Tools and Applications and IEEE Internet Computing.

In The Last Decade

Chabane Djeraba

9 papers receiving 1.0k citations

Hit Papers

Content-based multimedia information retrieval 2006 2026 2012 2019 2006 250 500 750

Peers

Chabane Djeraba
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 905
  • Artificial Intelligence 255
  • Signal Processing 163
  • Information Systems 102
  • Media Technology 61
Replace Adıtya Kumar Sahu with:
Adıtya Kumar Sahu India
Zhengquan Xu China
Bin Zhu China
Pınar Duygulu Türkiye
Yushi Jing United States
Krešimir Matković Austria
Ying Han Pang Malaysia
Feng Xue China
Cheonshik Kim South Korea
Adıtya Kumar Sahu India View profile →
Citations per field, relative to Chabane Djeraba
Chabane Djeraba · 1×
Citations per year, relative to Chabane Djeraba
Chabane Djeraba · 1×

Countries citing papers authored by Chabane Djeraba

Since Specialization
Citations

This map shows the geographic impact of Chabane Djeraba'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 Chabane Djeraba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chabane Djeraba more than expected).

Fields of papers citing papers by Chabane Djeraba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chabane Djeraba. 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 Chabane Djeraba. The network helps show where Chabane Djeraba may publish in the future.

Co-authorship network of co-authors of Chabane Djeraba

This figure shows the co-authorship network connecting the top 25 collaborators of Chabane Djeraba. A scholar is included among the top collaborators of Chabane Djeraba 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 Chabane Djeraba. Chabane Djeraba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 38
2 51
3 9
4 1
5 10
6 31
7 3
8
Content-based multimedia information retrieval breakdown →
981
9 3

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.

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