Jacob Walker
Impact in
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 3
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- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Video Surveillance and Tracking Methods 1
- Co-authors
- Abhinav Gupta (3 shared papers)Martial Hebert (3 shared papers)Carl Doersch (1 shared paper)Joyce Chai (1 shared paper)Changsong Liu (1 shared paper)Yali Amit (1 shared paper)
- Journals
- Frontiers in Computational Neuroscience (1 paper)Lecture notes in computer science (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Jacob Walker
6 papers receiving 495 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 390
- Artificial Intelligence 189
- Computer Graphics and Computer-Aided Design 15
- Signal Processing 45
- Automotive Engineering 42
Countries citing papers authored by Jacob Walker
This map shows the geographic impact of Jacob Walker'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 Jacob Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Walker more than expected).
Fields of papers citing papers by Jacob Walker
This network shows the impact of papers produced by Jacob Walker. 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 Jacob Walker. The network helps show where Jacob Walker may publish in the future.
Co-authors
The 6 scholars most cited alongside Jacob Walker, 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 | 2016 | 272 | |
| 2 | 2014 | 118 | |
| 3 | 2015 | 105 | |
| 4 | Ambiguities in Spatial Language Understanding in Situated Human Robot Dialogue | 2010 | 11 |
| 5 | 2012 | 3 | |
| 6 | 2011 | 1 |
About Jacob Walker
Jacob Walker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics, having authored 6 papers that have together received 510 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers), Advanced Memory and Neural Computing (1 paper), Evolutionary Game Theory and Cooperation (1 paper), Language, Metaphor, and Cognition (1 paper), Video Surveillance and Tracking Methods (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (390 citations), Artificial Intelligence (189 citations), Computer Graphics and Computer-Aided Design (15 citations), Signal Processing (45 citations) and Automotive Engineering (42 citations). Jacob Walker has collaborated with scholars based in United States. Frequent co-authors include Abhinav Gupta, Martial Hebert, Carl Doersch, Joyce Chai, Changsong Liu and Yali Amit. Their work appears in journals such as Frontiers in Computational Neuroscience, Lecture notes in computer science and National Conference on Artificial Intelligence.
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.