Gemma Roig
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Media Technology top 5%
- Signal Processing top 10%
- Co-authors
- Xavier BoixLuc Van GoolMichael Van den BerghKshitij DwivediJ. de CurtòCarlos T. CalafateI. de ZarzàRadoslaw Martin Cichy
- Topics
- Advanced Image and Video Retrieval Techniques (11 papers)Visual Attention and Saliency Detection (10 papers)Visual perception and processing mechanisms (8 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- GermanyUnited StatesSingapore
In The Last Decade
Gemma Roig
45 papers receiving 836 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 412
- Artificial Intelligence 246
- Cognitive Neuroscience 140
- Media Technology 100
- Signal Processing 47
Countries citing papers authored by Gemma Roig
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
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-authorship network of co-authors of Gemma Roig
This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Roig. A scholar is included among the top collaborators of Gemma Roig 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 Gemma Roig. Gemma Roig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 48 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 39 | |
| 13 | 22 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | Is the Human Visual System Invariant to Translation and Scale | 6 |
| 18 | Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision | 9 |
| 19 | 2 | |
| 20 | 4 |
About Gemma Roig
Gemma Roig is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Health Informatics, 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) and Visual perception and processing mechanisms (8 papers). The work is most often cited by research in Health Informatics (31 citations), Computer Vision and Pattern Recognition (412 citations) and Media Technology (100 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, J. de Curtò, Carlos T. Calafate, I. de Zarzà, Radoslaw Martin Cichy, Ngai‐Man Cheung and Yuval Elovici. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.
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.