Eric Cosatto
Impact in
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- Face recognition and analysis
- Advanced Neural Network Applications
- Face and Expression Recognition
- Digital Imaging for Blood Diseases
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Face recognition and analysis 9
- Digital Imaging for Blood Diseases 5
- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 5
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- AI in cancer detection 16
- Co-authors
- Hans Peter Graf (32 shared papers)Gerasimos Potamianos (3 shared papers)Léon Bottou (1 shared paper)Vladimir Vapnik (1 shared paper)Beat Flepp (1 shared paper)Y. Le Cun (1 shared paper)Jan Ben (1 shared paper)Urs Müller (1 shared paper)
- Journals
- Journal of Pathology Informatics (4 papers)Modern Pathology (2 papers)Bioinformatics (1 paper)IEEE Micro (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Eric Cosatto
53 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 1.3k
- Signal Processing 501
- Artificial Intelligence 1.1k
- Biophysics 127
- Radiology, Nuclear Medicine and Imaging 333
Countries citing papers authored by Eric Cosatto
This map shows the geographic impact of Eric Cosatto'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 Eric Cosatto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Cosatto more than expected).
Fields of papers citing papers by Eric Cosatto
This network shows the impact of papers produced by Eric Cosatto. 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 Eric Cosatto. The network helps show where Eric Cosatto may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Cosatto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Parallel Support Vector Machines: The Cascade SVM | 2004 | 309 |
| 2 | Off-Road Obstacle Avoidance through End-to-End Learning | 2005 | 306 |
| 3 | 2009 | 185 | |
| 4 | 2013 | 161 | |
| 5 | 2003 | 145 | |
| 6 | 2002 | 137 | |
| 7 | 2008 | 123 | |
| 8 | 2000 | 105 | |
| 9 | 2017 | 80 | |
| 10 | 2020 | 79 | |
| 11 | 2002 | 78 | |
| 12 | 2009 | 64 | |
| 13 | 2002 | 60 | |
| 14 | 2003 | 56 | |
| 15 | 2012 | 44 | |
| 16 | Speaker independent audio-visual database for bimodal ASR. | 1997 | 41 |
| 17 | 2021 | 37 | |
| 18 | 2002 | 37 | |
| 19 | 2017 | 34 | |
| 20 | 2012 | 34 |
About Eric Cosatto
Eric Cosatto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Speech and Audio Processing (11 papers), Face recognition and analysis (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Digital Imaging for Blood Diseases (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Cell Image Analysis Techniques (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (501 citations), Artificial Intelligence (1.1k citations), Biophysics (127 citations) and Radiology, Nuclear Medicine and Imaging (333 citations). Eric Cosatto has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Hans Peter Graf, Gerasimos Potamianos, Léon Bottou, Vladimir Vapnik, Beat Flepp, Y. Le Cun, Jan Ben, Urs Müller, Fu Jie Huang and John S. Meyer. Their work appears in journals such as Journal of Pathology Informatics, Modern Pathology, Bioinformatics, IEEE Micro and Oncotarget.
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.