Peter Welinder
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Mobile Crowdsensing and Crowdsourcing 2
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- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 2
- Multimodal Machine Learning Applications 2
- Co-authors
- Pietro PeronaSerge BelongieSteve BransonPiotr DollárSzymon SidorRafał JózefowiczJosh TobinJakub Pachocki
- Journals
- Nature Methods (1 paper)IEEE Transactions on Automation Science and Engineering (1 paper)Clinical Neurophysiology (1 paper)New Journal of Physics (1 paper)Hippocampus (1 paper)
- Partner nations
- United StatesDenmarkNetherlands
In The Last Decade
Peter Welinder
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Science Applications 496
- Computer Vision and Pattern Recognition 714
- Artificial Intelligence 962
- Control and Systems Engineering 582
- Cognitive Neuroscience 459
Countries citing papers authored by Peter Welinder
This map shows the geographic impact of Peter Welinder'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 Peter Welinder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Welinder more than expected).
Fields of papers citing papers by Peter Welinder
This network shows the impact of papers produced by Peter Welinder. 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 Peter Welinder. The network helps show where Peter Welinder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Welinder, 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 | 2022 | 3 | |
| 2 | 2021 | 81 | |
| 3 | Learning dexterous in-hand manipulation Hit paper breakdown → | 2019 | 896 |
| 4 | 2014 | 49 | |
| 5 | 2014 | 267 | |
| 6 | 2013 | 6 | |
| 7 | Caltech-UCSD Birds 200 | 2010 | 30 |
| 8 | The Multidimensional Wisdom of Crowds Hit paper breakdown → | 2010 | 471 |
| 9 | 2010 | 221 | |
| 10 | Cascaded pose regression Hit paper breakdown → | 2010 | 355 |
| 11 | 2009 | 17 | |
| 12 | 2009 | 17 | |
| 13 | 2009 | 12 | |
| 14 | 2008 | 58 | |
| 15 | 2007 | 2 |
About Peter Welinder
Peter Welinder is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Mathematical Physics, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Obstructive Sleep Apnea Research (2 papers), Data Stream Mining Techniques (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Image Retrieval and Classification Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Sleep and Wakefulness Research (2 papers) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Computer Science Applications (496 citations), Computer Vision and Pattern Recognition (714 citations), Artificial Intelligence (962 citations), Control and Systems Engineering (582 citations) and Cognitive Neuroscience (459 citations). Peter Welinder has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Pietro Perona, Serge Belongie, Steve Branson, Piotr Dollár, Szymon Sidor, Rafał Józefowicz, Josh Tobin, Jakub Pachocki, Lilian Weng and Matthias Plappert. Their work appears in journals such as Nature Methods, IEEE Transactions on Automation Science and Engineering, Clinical Neurophysiology, New Journal of Physics and Hippocampus.
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.