Chahab Nastar
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 10%
- Artificial Intelligence
- Media Technology top 10%
- Computational Mechanics
- Co-authors
- Nicholas AyacheAlex PentlandB. MoghaddamMatthias MitschkeBaback MoghaddamNozha BoujemaaAlejandro JaimesPalash Nandy
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Image Retrieval and Classification Techniques (10 papers)Medical Image Segmentation Techniques (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceImage and Vision ComputingComputer Vision and Image Understanding
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Chahab Nastar
19 papers receiving 548 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 561
- Signal Processing 87
- Artificial Intelligence 60
- Media Technology 48
- Computational Mechanics 41
Countries citing papers authored by Chahab Nastar
This map shows the geographic impact of Chahab Nastar'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 Chahab Nastar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chahab Nastar more than expected).
Fields of papers citing papers by Chahab Nastar
This network shows the impact of papers produced by Chahab Nastar. 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 Chahab Nastar. The network helps show where Chahab Nastar may publish in the future.
Co-authorship network of co-authors of Chahab Nastar
This figure shows the co-authorship network connecting the top 25 collaborators of Chahab Nastar. A scholar is included among the top collaborators of Chahab Nastar 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 Chahab Nastar. Chahab Nastar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 46 | |
| 4 | 5 | |
| 5 | 62 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 43 | |
| 10 | 3 | |
| 11 | 20 | |
| 12 | 35 | |
| 13 | 43 | |
| 14 | The Image Shape Spectrum for Image Retrieval | 24 |
| 15 | 98 | |
| 16 | 130 | |
| 17 | 54 | |
| 18 | Analytical computation of free vibration modes : application to non rigid motion analysis and animation in 3D images | 2 |
| 19 | 4 |
About Chahab Nastar
Chahab Nastar is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 19 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (561 citations), Signal Processing (87 citations) and Media Technology (48 citations). Chahab Nastar has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nicholas Ayache, Alex Pentland, B. Moghaddam, Matthias Mitschke, Baback Moghaddam, Nozha Boujemaa, Alejandro Jaimes, Palash Nandy, Ido Guy and Pat Moore. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and Computer Vision and Image Understanding.
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.