Florent Monay

1.8k citations
14 papers · 1.2k · h-index 10

Impact in

Papers in

Florent Monay

13 papers receiving 1.1k citations

Peers

Florent Monay
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 927
  • Human-Computer Interaction 200
  • Media Technology 174
  • Urban Studies 65
  • Artificial Intelligence 256
Replace Santosh Kumar Vipparthi with:
Santosh Kumar Vipparthi India
Marco Salvi United Kingdom
Chenlei Guo United States
Xilin Chen China
Junru Wu United States
Patrick Le Callet France
Gaoyun An China
Wael AbdAlmageed United States
Seyed Mehdi Lajevardi Australia
Zenghai Chen Hong Kong
Florent Monay relative to Santosh Kumar Vipparthi India Santosh Kumar Vipparthi's profile →
Citations per field
00.5×3.3×
Santosh Kumar Vipparthi · 1×
Citations per year

Countries citing papers authored by Florent Monay

Since Specialization
Citations

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

Fields of papers citing papers by Florent Monay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Florent Monay, 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 Florent Monay Line = papers co-authored together Florent Monay links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005255
2 2014199
3 2003146
4 2007145
5 2004143
6 2007126
7 200484
8 200345
9 200434
10 200610
11 20147
12
EYEDIAP Database: Data Description and Gaze Tracking Evaluation Benchmarks
20146
13 20093
14 20070

About Florent Monay

Florent Monay is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Human-Computer Interaction and Urban Studies, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Gaze Tracking and Assistive Technology (2 papers), Multimodal Machine Learning Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers), Video Analysis and Summarization (2 papers), Speech and Audio Processing (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (927 citations), Human-Computer Interaction (200 citations), Media Technology (174 citations), Urban Studies (65 citations) and Artificial Intelligence (256 citations). Florent Monay has collaborated with scholars based in Switzerland and Belgium. Frequent co-authors include Daniel Gática-Pérez, Jean‐Marc Odobez, Pedro Quelhas, Tinne Tuytelaars, Kenneth Alberto Funes Mora, Luc Van Gool, Samy Bengio, David Moore, Iain McCowan and Beat Fasel. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, EURASIP Journal on Image and Video Processing, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

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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