Romain Giot

1.4k citations
25 papers · 338 · h-index 12

Impact in

Papers in

Romain Giot

23 papers receiving 327 citations

Peers

Romain Giot
Comparison fields: 5 of 72
  • Signal Processing 161
  • Human-Computer Interaction 48
  • Information Systems 168
  • Computer Vision and Pattern Recognition 127
  • Artificial Intelligence 83
Replace Márjory Da Costa‐Abreu with:
Márjory Da Costa‐Abreu Brazil
Md Liakat Ali United States
Jaroslav Šeděnka United States
Michael Dietz Germany
Dimitrios Damopoulos Greece
Jianshe Zhou China
Isaac Woungang Canada
YoungSeok Yoon United States
Ayush Kumar India
Jung Yeon Hwang South Korea
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Citations per field
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Márjory Da Costa‐Abreu · 1×
Citations per year

Countries citing papers authored by Romain Giot

Since Specialization
Citations

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

Fields of papers citing papers by Romain Giot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Romain Giot, 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 Romain Giot Line = papers co-authored together Romain Giot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201157
2 202341
3 201134
4 201933
5 201226
6 201122
7 201518
8 201616
9 202115
10 202014
11 202214
12 201214
13 20226
14 20225
15 20205
16 20163
17 20233
18 20123
19 20233
20 20223

About Romain Giot

Romain Giot is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 25 papers that have together received 338 indexed citations. Recurring topics across this work include User Authentication and Security Systems (10 papers), Data Visualization and Analytics (9 papers), Biometric Identification and Security (8 papers), Anomaly Detection Techniques and Applications (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Malware Detection Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Signal Processing (161 citations), Human-Computer Interaction (48 citations), Information Systems (168 citations), Computer Vision and Pattern Recognition (127 citations) and Artificial Intelligence (83 citations). Romain Giot has collaborated with scholars based in France, Brazil and Italy. Frequent co-authors include Christophe Rosenberger, Mohamad El-Abed, Romain Bourqui, David Auber, André C. P. L. F. de Carvalho, Bernadette Dorizzi, Antônio Theóphilo, Giuseppe Santucci, Enrico Bertini and Anderson Rocha. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Security, Visual Informatics, Future Generation Computer Systems and IEEE Transactions on Computational Social 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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