Nicolas Sidère

477 total citations
9 papers, 48 citations indexed

About

Nicolas Sidère is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Nicolas Sidère has authored 9 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Nicolas Sidère's work include Advanced Steganography and Watermarking Techniques (4 papers), Natural Language Processing Techniques (3 papers) and Digital Media Forensic Detection (3 papers). Nicolas Sidère is often cited by papers focused on Advanced Steganography and Watermarking Techniques (4 papers), Natural Language Processing Techniques (3 papers) and Digital Media Forensic Detection (3 papers). Nicolas Sidère collaborates with scholars based in France, Switzerland and United Kingdom. Nicolas Sidère's co-authors include Antoine Doucet, Elvys Linhares Pontes, Ahmed Hamdi, Jean-Marc Ogier, José G. Moreno, Emanuela Boroş, Mickaël Coustaty, Petra Gomez‐Krämer, Jean-Yves Ramel and Nouredine Tamani and has published in prestigious journals such as Multimedia Tools and Applications, Natural Language Engineering and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Nicolas Sidère

7 papers receiving 47 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicolas Sidère France	5	31	20	8	3	3	9	48
Hansheng Ren China	3	32 1.0×	20 1.0×	5 0.6×	6 2.0×	3 1.0×	4	48
Ikumi Suzuki Japan	5	19 0.6×	38 1.9×	4 0.5×	3 1.0×	2 0.7×	16	55
Youssef Bassil Lebanon	3	45 1.5×	11 0.6×	7 0.9×	4 1.3×	3 1.0×	8	59
Ching-Yao Chuang United States	3	31 1.0×	44 2.2×	6 0.8×	4 1.3×	3 1.0×	4	54
Chen-Yu Lee Taiwan	1	28 0.9×	28 1.4×	4 0.5×	4 1.3×	3 1.0×	2	55
Rafael Rafailov United States	3	13 0.4×	37 1.9×	5 0.6×	4 1.3×	2 0.7×	4	62
Teakgyu Hong South Korea	3	52 1.7×	49 2.5×	8 1.0×	4 1.3×	1 0.3×	4	76
Y. J. Sun China	3	46 1.5×	27 1.4×	8 1.0×	2 0.7×		10	64
Y. G. Wu China	3	15 0.5×	10 0.5×	5 0.6×	2 0.7×		4	31
Yisong Xiao China	5	25 0.8×	34 1.7×	5 0.6×	3 1.0×	1 0.3×	10	59

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-authorship network of co-authors of Nicolas Sidère

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

All Works

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9 of 9 papers shown

1.

Ming, Zuheng, et al.. (2024). Identifying fraudulent identity documents by analyzing imprinted guilloche patterns. Multimedia Tools and Applications. 83(33). 79145–79192.

2.

Malik, Usman, et al.. (2024). Experimental study of rehearsal-based incremental classification of document streams. International Journal on Document Analysis and Recognition (IJDAR). 27(4). 629–653.

3.

Ming, Zuheng, et al.. (2023). Guilloche Detection for ID Authentication: A Dataset and Baselines. 1–6. 2 indexed citations

4.

Hamdi, Ahmed, Elvys Linhares Pontes, Nicolas Sidère, Mickaël Coustaty, & Antoine Doucet. (2022). In-depth analysis of the impact of OCR errors on named entity recognition and linking. Natural Language Engineering. 29(2). 425–448. 7 indexed citations

5.

Pontes, Elvys Linhares, José G. Moreno, Emanuela Boroş, et al.. (2021). MELHISSA: a multilingual entity linking architecture for historical press articles. International Journal on Digital Libraries. 23(2). 133–160. 4 indexed citations

6.

Boroş, Emanuela, Ahmed Hamdi, Elvys Linhares Pontes, et al.. (2020). Alleviating Digitization Errors in Named Entity Recognition for Historical Documents. Zenodo (CERN European Organization for Nuclear Research). 431–441. 12 indexed citations

7.

Murphy, John R., Nicolas Sidère, Nouredine Tamani, et al.. (2019). Security and PrIvacy foR the Internet of Things: an overview of the project. Archive ouverte UNIGE (University of Geneva). 3. 3993–3998. 3 indexed citations

8.

Sidère, Nicolas, et al.. (2018). Find it! Fraud Detection Contest Report. 13–18. 16 indexed citations

9.

Ramel, Jean-Yves, et al.. (2013). Interactive layout analysis, content extraction, and transcription of historical printed books using Pattern Redundancy Analysis. Literary and Linguistic Computing. 28(2). 301–314. 4 indexed citations

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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