Tania Pouli
- Computer Vision and Pattern Recognition top 5%
- Atomic and Molecular Physics, and Optics
- Media Technology top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Cognitive Neuroscience
- Co-authors
- Erik ReinhardDouglas W. CunninghamRafał MantiukHans‐Peter SeidelBen LongTimo KunkelAlain TrémeauAlessandro Artusi
- Topics
- Image Enhancement Techniques (21 papers)Advanced Vision and Imaging (16 papers)Color Science and Applications (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Tania Pouli
27 papers receiving 385 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 337
- Atomic and Molecular Physics, and Optics 127
- Media Technology 82
- Computer Graphics and Computer-Aided Design 42
- Cognitive Neuroscience 35
Countries citing papers authored by Tania Pouli
This map shows the geographic impact of Tania Pouli'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 Tania Pouli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Pouli more than expected).
Fields of papers citing papers by Tania Pouli
This network shows the impact of papers produced by Tania Pouli. 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 Tania Pouli. The network helps show where Tania Pouli may publish in the future.
Co-authorship network of co-authors of Tania Pouli
This figure shows the co-authorship network connecting the top 25 collaborators of Tania Pouli. A scholar is included among the top collaborators of Tania Pouli 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 Tania Pouli. Tania Pouli 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 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 12 | |
| 17 | 42 | |
| 18 | 19 | |
| 19 | 22 | |
| 20 | 49 |
About Tania Pouli
Tania Pouli is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Atomic and Molecular Physics, and Optics, having authored 30 papers that have together received 398 indexed citations. Recurring topics across this work include Image Enhancement Techniques (21 papers), Advanced Vision and Imaging (16 papers) and Color Science and Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (337 citations), Computer Graphics and Computer-Aided Design (42 citations) and Media Technology (82 citations). Tania Pouli has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Erik Reinhard, Douglas W. Cunningham, Rafał Mantiuk, Hans‐Peter Seidel, Ben Long, Timo Kunkel, Alain Trémeau, Alessandro Artusi, Ahmet Oğuz Akyüz and Francesco Banterle. Their work appears in journals such as ACM Transactions on Graphics, Computer Vision and Image Understanding and Computer Graphics Forum.
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.