Eleonora Vig
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Adrien GaidonQiao WangYohann CabonMichael DörrDavid CoxErhardt BarthNaila MurraySaumya Jetley
- Topics
- Visual Attention and Saliency Detection (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceVision Research
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Eleonora Vig
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 984
- Aerospace Engineering 187
- Cognitive Neuroscience 159
- Artificial Intelligence 149
- Human-Computer Interaction 124
Countries citing papers authored by Eleonora Vig
This map shows the geographic impact of Eleonora Vig'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 Eleonora Vig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleonora Vig more than expected).
Fields of papers citing papers by Eleonora Vig
This network shows the impact of papers produced by Eleonora Vig. 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 Eleonora Vig. The network helps show where Eleonora Vig may publish in the future.
Co-authorship network of co-authors of Eleonora Vig
This figure shows the co-authorship network connecting the top 25 collaborators of Eleonora Vig. A scholar is included among the top collaborators of Eleonora Vig 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 Eleonora Vig. Eleonora Vig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 36 | |
| 3 | 47 | |
| 4 | DLRAD - A first look on the new vision and mapping benchmark dataset | 1 |
| 5 | 12 | |
| 6 | 85 | |
| 7 | 14 | |
| 8 | 25 | |
| 9 | 263 | |
| 10 | Towards condition-invariant, top-down visual place recognition | 5 |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | Colour Saliency on Video | 1 |
| 15 | 33 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | 28 | |
| 20 | Eye movement modelling and gaze guidance | 6 |
About Eleonora Vig
Eleonora Vig is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Instrumentation, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (984 citations), Sensory Systems (112 citations) and Human-Computer Interaction (124 citations). Eleonora Vig has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Adrien Gaidon, Qiao Wang, Yohann Cabon, Michael Dörr, David Cox, Erhardt Barth, Naila Murray, Saumya Jetley, Corentin Henry and Thomas Martinetz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Vision Research.
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.