Nicolas Sidère

492 citations
9 papers · 54 · h-index 5

Impact in

Papers in

Nicolas Sidère

8 papers receiving 53 citations

Peers

Nicolas Sidère
Comparison fields: 5 of 19
  • Computer Vision and Pattern Recognition 34
  • Health Informatics 1
  • Artificial Intelligence 21
  • Media Technology 4
  • Information Systems 9
Replace Hansheng Ren with:
Hansheng Ren China
Youssef Bassil Lebanon
Chen-Yu Lee United States
Dominique Stutzmann France
R. Bhaskaran India
Ikumi Suzuki Japan
E. Hines United Kingdom
Davide Alessandro Coccomini Italy
Y. J. Sun China
Ronan Sicre France
Nicolas Sidère relative to Hansheng Ren China Hansheng Ren's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas Sidère

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Sidère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Nicolas Sidère, 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 Nicolas Sidère Line = papers co-authored together Nicolas Sidère links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201817
2 202013
3 202210
4 20214
5 20134
6 20193
7 20232
8 20241
9 20240

About Nicolas Sidère

Nicolas Sidère is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Management Science and Operations Research and Infectious Diseases, having authored 9 papers that have together received 54 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (4 papers), Natural Language Processing Techniques (3 papers), Digital Media Forensic Detection (3 papers), Topic Modeling (3 papers), Data Quality and Management (2 papers), Digital and Cyber Forensics (2 papers), Handwritten Text Recognition Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (34 citations), Health Informatics (1 citation), Artificial Intelligence (21 citations), Media Technology (4 citations) and Information Systems (9 citations). Nicolas Sidère has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Antoine Doucet, Ahmed Hamdi, Elvys Linhares Pontes, Mickaël Coustaty, Jean-Marc Ogier, Emanuela Boroş, José G. Moreno, Petra Gomez‐Krämer, Jean-Yves Ramel and Usman Malik. Their work appears in journals such as International Journal on Digital Libraries, International Journal on Document Analysis and Recognition (IJDAR), Multimedia Tools and Applications, Natural Language Engineering and Literary and Linguistic Computing.

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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