T. Serre
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- Visual Attention and Saliency Detection 23
- Face and Expression Recognition 10
- Image Retrieval and Classification Techniques 6
- Multimodal Machine Learning Applications 6
- Cognitive Neuroscience top 0.5%
- Visual perception and processing mechanisms 29
- Neural dynamics and brain function 28
- Face Recognition and Perception 25
- Human-Computer Interaction top 0.5%
- Artificial Intelligence top 0.2%
- Media Technology top 1%
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- Cell Image Analysis Techniques 8
- Co-authors
- Tomaso PoggioHueihan JhuangHilde KuehneLior WolfEstíbaliz GarroteStanley BileschiMaximilian RiesenhuberAude Oliva
- Journals
- Journal of Vision (11 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
T. Serre
86 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Vision and Pattern Recognition 5.3k
- Cognitive Neuroscience 2.2k
- Human-Computer Interaction 515
- Artificial Intelligence 2.6k
- Media Technology 369
Countries citing papers authored by T. Serre
This map shows the geographic impact of T. Serre'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 T. Serre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Serre more than expected).
Fields of papers citing papers by T. Serre
This network shows the impact of papers produced by T. Serre. 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 T. Serre. The network helps show where T. Serre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Serre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 12 | |
| 10 | Tracking Without Re-recognition in Humans and Machines. | 2021 | 1 |
| 11 | Sample-efficient image segmentation through recurrence | 2018 | 5 |
| 12 | Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition | 2017 | 2 |
| 13 | 2016 | 103 | |
| 14 | How deep is the feature analysis underlying rapid visual categorization | 2016 | 10 |
| 15 | 2015 | 203 | |
| 16 | 2015 | 16 | |
| 17 | 2015 | 2 | |
| 18 | 2014 | 84 | |
| 19 | Neural representation of action sequences: how far can a simple snippet-matching model take us? | 2013 | 5 |
| 20 | 2012 | 75 |
About T. Serre
T. Serre is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Biophysics, Aging and Artificial Intelligence, having authored 95 papers that have together received 8.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (29 papers), Neural dynamics and brain function (28 papers), Face Recognition and Perception (25 papers), Visual Attention and Saliency Detection (23 papers), Face and Expression Recognition (10 papers), Cell Image Analysis Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.3k citations), Cognitive Neuroscience (2.2k citations), Human-Computer Interaction (515 citations), Artificial Intelligence (2.6k citations) and Media Technology (369 citations). T. Serre has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Tomaso Poggio, Hueihan Jhuang, Hilde Kuehne, Lior Wolf, Estíbaliz Garrote, Stanley Bileschi, Maximilian Riesenhuber, Aude Oliva, Bernd Heisele and Ali Bilgin Arslan. Their work appears in journals such as Journal of Vision, Proceedings of the National Academy of Sciences, Nature Communications, Trends in Cognitive Sciences 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.