Slim Essid

2.4k citations
55 papers · 719 · h-index 15

Impact in

Papers in

Slim Essid

52 papers receiving 677 citations

Peers

Slim Essid
Comparison fields: 5 of 71
  • Signal Processing 534
  • Computer Vision and Pattern Recognition 377
  • Computational Mathematics 10
  • Music 45
  • Developmental Biology 26
Replace Zekeriya TÜFEKCİ with:
Zekeriya TÜFEKCİ Türkiye
Eric J. Humphrey United States
Sebastian Ewert Germany
Ryuichi Oka Japan
Nicholas J. Bryan United States
Yuki Mitsufuji Japan
Eric D. Scheirer United States
Yi Ren China
Gerald Schuller Germany
Thom Blum United States
Slim Essid relative to Zekeriya TÜFEKCİ Türkiye Zekeriya TÜFEKCİ's profile →
Citations per field
00.5×3.7×
Zekeriya TÜFEKCİ · 1×
Citations per year

Countries citing papers authored by Slim Essid

Since Specialization
Citations

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

Fields of papers citing papers by Slim Essid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Slim Essid, 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 Slim Essid Line = papers co-authored together Slim Essid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200582
2 200974
3 200663
4 201762
5 201139
6 201232
7 201430
8 201228
9 200726
10 202320
11 201318
12 201218
13 201917
14 202016
15 200615
16 201314
17 200513
18 201912
19 201911
20 202210

About Slim Essid

Slim Essid is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Cognitive Neuroscience, having authored 55 papers that have together received 719 indexed citations. Recurring topics across this work include Speech and Audio Processing (39 papers), Music and Audio Processing (30 papers), Speech Recognition and Synthesis (15 papers), Music Technology and Sound Studies (9 papers), Advanced Adaptive Filtering Techniques (7 papers), Video Analysis and Summarization (6 papers), Blind Source Separation Techniques (5 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Signal Processing (534 citations), Computer Vision and Pattern Recognition (377 citations), Computational Mathematics (10 citations), Music (45 citations) and Developmental Biology (26 citations). Slim Essid has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Gaël Richard, Cyril Joder, Romain Serizel, Cédric Févotte, Gaël Richard, Olivier Cappé, Bertrand David, Olivier Gillet, Titouan Parcollet and Irina Illina. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Multimedia, IEEE Journal of Selected Topics in Signal Processing and IEEE Signal Processing Magazine.

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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