Philip DeCamp
Impact in
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- Language Development and Disorders
- Child and Animal Learning Development
- Reading and Literacy Development
- Hearing Impairment and Communication
Papers in
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- Video Analysis and Summarization 3
- Human Pose and Action Recognition 2
- Video Surveillance and Tracking Methods 1
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- Music and Audio Processing 3
- Speech and Audio Processing 2
- Co-authors
- Deb Roy (5 shared papers)Brandon Roy (3 shared papers)Michael C. Frank (1 shared paper)Matthew P. Miller (1 shared paper)Rony Kubat (3 shared papers)Chris Schmandt (1 shared paper)Walter Bender (1 shared paper)Peter Gorniak (1 shared paper)
- Journals
- Cognitive Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United States
In The Last Decade
Philip DeCamp
7 papers receiving 252 citations
Peers
Comparison fields: 5 of 61
- Developmental and Educational Psychology 139
- Human-Computer Interaction 21
- Computer Vision and Pattern Recognition 66
- Experimental and Cognitive Psychology 39
- Signal Processing 22
Countries citing papers authored by Philip DeCamp
This map shows the geographic impact of Philip DeCamp'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 Philip DeCamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip DeCamp more than expected).
Fields of papers citing papers by Philip DeCamp
This network shows the impact of papers produced by Philip DeCamp. 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 Philip DeCamp. The network helps show where Philip DeCamp may publish in the future.
Co-authors
The 16 scholars most cited alongside Philip DeCamp, 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 | 2015 | 134 | |
| 2 | The Human Speechome Project | 2006 | 48 |
| 3 | 2010 | 31 | |
| 4 | 2004 | 25 | |
| 5 | 2007 | 12 | |
| 6 | Assessing Behavioral and Computational Approaches to Naturalistic Action Segmentation | 2010 | 9 |
| 7 | 2009 | 8 |
About Philip DeCamp
Philip DeCamp is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Developmental and Educational Psychology and Social Psychology, having authored 7 papers that have together received 267 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Music and Audio Processing (3 papers), Language Development and Disorders (2 papers), Speech and Audio Processing (2 papers), Human Pose and Action Recognition (2 papers), Speech and dialogue systems (2 papers), Video Surveillance and Tracking Methods (1 paper) and Action Observation and Synchronization (1 paper). The work is most often cited by research in Developmental and Educational Psychology (139 citations), Human-Computer Interaction (21 citations), Computer Vision and Pattern Recognition (66 citations), Experimental and Cognitive Psychology (39 citations) and Signal Processing (22 citations). Philip DeCamp has collaborated with scholars based in United States. Frequent co-authors include Deb Roy, Brandon Roy, Michael C. Frank, Matthew P. Miller, Rony Kubat, Chris Schmandt, Walter Bender, Peter Gorniak, Rupal Patel and Michael Levit. Their work appears in journals such as Cognitive Science, Proceedings of the National Academy of Sciences and eScholarship (California Digital Library).
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.