Philip DeCamp
- Developmental and Educational Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Co-authors
- Deb RoyBrandon RoyMichael C. FrankMatthew P. MillerRony KubatWalter BenderChris SchmandtMichael Fleischman
- Topics
- Video Analysis and Summarization (3 papers)Music and Audio Processing (3 papers)Speech and dialogue systems (2 papers)
- Cited by
- Developmental and Educational PsychologyHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesCognitive ScienceeScholarship (California Digital Library)
- 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
- Computer Vision and Pattern Recognition 66
- Artificial Intelligence 63
- Cognitive Neuroscience 39
- Experimental and Cognitive Psychology 39
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-authorship network of co-authors of Philip DeCamp
This figure shows the co-authorship network connecting the top 25 collaborators of Philip DeCamp. A scholar is included among the top collaborators of Philip DeCamp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip DeCamp. Philip DeCamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 134 | |
| 2 | Assessing Behavioral and Computational Approaches to Naturalistic Action Segmentation | 9 |
| 3 | 31 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | The Human Speechome Project | 48 |
| 7 | 25 |
About Philip DeCamp
Philip DeCamp is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Developmental and Educational 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) and Speech and dialogue systems (2 papers). The work is most often cited by research in Developmental and Educational Psychology (139 citations), Human-Computer Interaction (21 citations) and Computer Vision and Pattern Recognition (66 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, Walter Bender, Chris Schmandt, Michael Fleischman, Rupal Patel and Michael Levit. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cognitive Science 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.