Nicolas Riche

972 total citations
18 papers, 562 citations indexed

About

Nicolas Riche is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Signal Processing. According to data from OpenAlex, Nicolas Riche has authored 18 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Sensory Systems and 4 papers in Signal Processing. Recurrent topics in Nicolas Riche's work include Visual Attention and Saliency Detection (9 papers), Image and Video Quality Assessment (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Nicolas Riche is often cited by papers focused on Visual Attention and Saliency Detection (9 papers), Image and Video Quality Assessment (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Nicolas Riche collaborates with scholars based in Belgium, United Kingdom and United States. Nicolas Riche's co-authors include Matei Mancaş, Bernard Gosselin, Thierry Dutoit, Matthieu Duvinage, Mary Czerwinski, Başak Alper, Gonzalo Ramos, Vincent P. Ferrera, John G. Taylor and Stéphane Dupont and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Signal Processing Image Communication and DIAL (Catholic University of Leuven).

In The Last Decade

Nicolas Riche

17 papers receiving 547 citations

Peers

Countries citing papers authored by Nicolas Riche

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Riche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Riche

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Audio-visual attention: Eye-tracking dataset and analysis toolbox 2017 ·(unknown), Antoine Coutrot, Nicolas Riche, Nathalie Guyader, Matei Mancaş, Bernard Gosselin, Robert Laganière	12
2	From Human Attention to Computational Attention: A Multidisciplinary Approach 2016 ·SPIRE - Sciences Po Institutional REpository ·Matei Mancaş, Vincent P. Ferrera, Nicolas Riche, John G. Taylor	10
3	From Human Attention to Computational Attention 2016 ·DIAL (Catholic University of Leuven) ·Matei Mancaş, Vincent P. Ferrera, Nicolas Riche, John G. Taylor	21
4	Bottom-Up Saliency Models for Still Images: A Practical Review 2016 ·Nicolas Riche, Matei Mancaş	6
5	Bottom-Up Saliency Models for Videos: A Practical Review 2016 ·Nicolas Riche, Matei Mancaş	3
6	Video saliency based on rarity prediction: Hyperaptor 2015 ·(unknown), Nicolas Riche, (unknown), Matei Mancaş, Bernard Gosselin, Thierry Dutoit, Robert Laganière	2
7	An evaluation criterion of saliency models for video seam carving 2015 ·(unknown), (unknown), Matei Mancaş, (unknown), Nicolas Riche, Bernard Gosselin, Thierry Dutoit, Robert Laganière	1
8	AudioMetro 2014 ·ORBi UMONS ·(unknown), Stéphane Dupont, (unknown), Nicolas Riche, Xavier Siebert, Thierry Dutoit	5
9	SuperRare: an Object-oriented Saliency Algorithm Based on Superpixels Rarity 2014 ·ORBi UMONS ·(unknown), Nicolas Riche, Matei Mancaş, Bernard Gosselin, Thierry Dutoit	2
10	A Proximity Grid Optimization Method To Improve Audio Search For Sound Design. 2014 ·ORBi UMONS ·(unknown), Stéphane Dupont, (unknown), Nicolas Riche, Xavier Siebert, Thierry Dutoit	2
11	RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis 2013 ·Signal Processing Image Communication ·Nicolas Riche, Matei Mancaş, Matthieu Duvinage, (unknown), Bernard Gosselin, Thierry Dutoit	123
12	Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics 2013 ·Nicolas Riche, Matthieu Duvinage, Matei Mancaş, Bernard Gosselin, Thierry Dutoit	166
13	Biologically plausible context recognition algorithms 2013 ·(unknown), Nicolas Riche, Matei Mancaş, Bernard Gosselin, Thierry Dutoit	1
14	Left And Right-Hand Guitar Playing Techniques Detection 2012 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), (unknown), Thomas Drugman, Stéphane Dupont, (unknown), Nicolas Riche	17
15	Rare: A new bottom-up saliency model 2012 ·Nicolas Riche, Matei Mancaş, Bernard Gosselin, Thierry Dutoit	40
16	Design Study of LineSets, a Novel Set Visualization Technique 2011 ·IEEE Transactions on Visualization and Computer Graphics ·Başak Alper, Nicolas Riche, Gonzalo Ramos, Mary Czerwinski	114
17	Toward a Social Attentive Machine 2011 ·ORBi UMONS ·Matei Mancaş, Nicolas Riche, (unknown), Bernard Gosselin, Thierry Dutoit	1
18	Abnormal motion selection in crowds using bottom-up saliency 2011 ·Matei Mancaş, Nicolas Riche, (unknown), Bernard Gosselin	36

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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