Gemma Roig

2.3k citations
51 papers · 864 · h-index 15

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 11
    • Visual Attention and Saliency Detection 10
    • Advanced Neural Network Applications 8
    • Video Surveillance and Tracking Methods 4
    • Visual perception and processing mechanisms 8
    • Face Recognition and Perception 6
    • Neural dynamics and brain function 6

Gemma Roig

45 papers receiving 836 citations

Peers

Gemma Roig
Comparison fields: 5 of 110
  • Health Informatics 31
  • Computer Vision and Pattern Recognition 412
  • Media Technology 100
  • Artificial Intelligence 246
  • Cognitive Neuroscience 140
Replace Jose L. Part with:
Jose L. Part United Kingdom
Tom Duerig United States
Christopher Olah United States
Shahab Kamali United States
Keze Wang China
Ivan Krasin United States
Claudio Michaelis Germany
Robert Geirhos Germany
Swami Sankaranarayanan United States
Gemma Roig relative to Jose L. Part United Kingdom Jose L. Part's profile →
Citations per field
00.5×6.6×
Jose L. Part · 1×
Citations per year

Countries citing papers authored by Gemma Roig

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Roig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gemma Roig, 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 Gemma Roig Line = papers co-authored together Gemma Roig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014184
2 201871
3 202167
4 201953
5 201349
6 202348
7 201642
8 202239
9 201134
10 202127
11 202222
12 202319
13 201317
14 202316
15 202314
16 202312
17 202212
18 201311
19 202010
20 202410

About Gemma Roig

Gemma Roig is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 51 papers that have together received 864 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Visual Attention and Saliency Detection (10 papers), Advanced Neural Network Applications (8 papers), Visual perception and processing mechanisms (8 papers), Face Recognition and Perception (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Neural dynamics and brain function (6 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Health Informatics (31 citations), Computer Vision and Pattern Recognition (412 citations), Media Technology (100 citations), Artificial Intelligence (246 citations) and Cognitive Neuroscience (140 citations). Gemma Roig has collaborated with scholars based in Germany, United States and Singapore. Frequent co-authors include Xavier Boix, Luc Van Gool, Michael Van den Bergh, Kshitij Dwivedi, I. de Zarzà, J. de Curtò, Carlos T. Calafate, Radoslaw Martin Cichy, Ngai‐Man Cheung and Yuval Elovici. Their work appears in journals such as Sensors, Electronics, Journal of Vision, Tomography and Scientific Reports.

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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