Fahed Abdallah

1.5k citations
78 papers · 1.1k · h-index 18

Impact in

Papers in

    • Face and Expression Recognition 14
    • Video Surveillance and Tracking Methods 9
    • Advanced Neural Network Applications 6
    • Advanced Image and Video Retrieval Techniques 6
    • Target Tracking and Data Fusion in Sensor Networks 14
    • Text and Document Classification Technologies 9

Fahed Abdallah

74 papers receiving 1.1k citations

Peers

Fahed Abdallah
Comparison fields: 5 of 106
  • Artificial Intelligence 546
  • Computer Vision and Pattern Recognition 339
  • Computational Mathematics 6
  • Signal Processing 89
  • Media Technology 54
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Kewen Xia China
Maria Presa Reyes United States
Yi Hong China
Md. Monirul Kabir Bangladesh
Qinghe Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by Fahed Abdallah

Since Specialization
Citations

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

Fields of papers citing papers by Fahed Abdallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fahed Abdallah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fahed Abdallah Line = papers co-authored together Fahed Abdallah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007121
2 202177
3 202157
4 201553
5 202050
6 200946
7 200943
8 201041
9 201341
10 201136
11 202235
12 200833
13 202233
14 201132
15 201532
16 201029
17 200921
18 201719
19 200818
20
Map matching algorithm using belief function theory
200817

About Fahed Abdallah

Fahed Abdallah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Statistics and Probability, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Face and Expression Recognition (14 papers), Text and Document Classification Technologies (9 papers), Video Surveillance and Tracking Methods (9 papers), Control Systems and Identification (8 papers), Fault Detection and Control Systems (6 papers), Advanced Neural Network Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (546 citations), Computer Vision and Pattern Recognition (339 citations), Computational Mathematics (6 citations), Signal Processing (89 citations) and Media Technology (54 citations). Fahed Abdallah has collaborated with scholars based in France, Lebanon and Luxembourg. Frequent co-authors include Thierry Denœux, Amadou Gning, Fadi Dornaika, Hichem Snoussi, Philippe Bonnifait, Paul Honeiné, Caroline Petitjean, Cédric Richard, Lyudmila S. Mihaylova and Hichem Omrani. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Sensors, IEEE Transactions on Signal Processing, Information Fusion and IEEE Transactions on Intelligent Transportation 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.

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