Nicolas Sidère
Impact in
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- Handwritten Text Recognition Techniques
- Digital Media Forensic Detection
- Image Processing and 3D Reconstruction
- Advanced Steganography and Watermarking Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Advanced Steganography and Watermarking Techniques 4
- Digital Media Forensic Detection 3
- Handwritten Text Recognition Techniques 2
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- Natural Language Processing Techniques 3
- Topic Modeling 3
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Antoine Doucet (4 shared papers)Ahmed Hamdi (3 shared papers)Elvys Linhares Pontes (3 shared papers)Jean-Marc Ogier (1 shared paper)José G. Moreno (2 shared papers)Mickaël Coustaty (6 shared papers)Emanuela Boroş (2 shared papers)Petra Gomez‐Krämer (3 shared papers)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (1 paper)International Journal on Digital Libraries (1 paper)Natural Language Engineering (1 paper)Multimedia Tools and Applications (1 paper)Literary and Linguistic Computing (1 paper)
- Partner nations
- FranceSwitzerlandUnited Kingdom
In The Last Decade
Nicolas Sidère
7 papers receiving 47 citations
Peers
Comparison fields: 5 of 19
- Computer Vision and Pattern Recognition 31
- Health Informatics 2
- Artificial Intelligence 20
- Information Systems 8
- Media Technology 3
Countries citing papers authored by Nicolas Sidère
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 16 | |
| 2 | 2020 | 12 | |
| 3 | 2022 | 7 | |
| 4 | 2013 | 4 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 |
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 48 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (4 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Digital Media Forensic Detection (3 papers), Handwritten Text Recognition Techniques (2 papers), Data Quality and Management (2 papers), Digital and Cyber Forensics (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 (31 citations), Health Informatics (2 citations), Artificial Intelligence (20 citations), Information Systems (8 citations) and Media Technology (3 citations). Nicolas Sidère has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Antoine Doucet, Ahmed Hamdi, Elvys Linhares Pontes, Jean-Marc Ogier, José G. Moreno, Mickaël Coustaty, Emanuela Boroş, Petra Gomez‐Krämer, Jean-Yves Ramel and Nouredine Tamani. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), International Journal on Digital Libraries, Natural Language Engineering, Multimedia Tools and Applications 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.