Walter Pharr
Impact in
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- Music and Audio Processing
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- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
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- Advanced Text Analysis Techniques 1
- Speech and dialogue systems 1
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- Experimental Learning in Engineering 2
- Co-authors
- Juan Romero (1 shared paper)Dwight Krehbiel (1 shared paper)Bill Manaris (1 shared paper)Timothy Hirzel (1 shared paper)Penousal Machado (1 shared paper)Robert Β. Davis (1 shared paper)Gautam Biswas (2 shared papers)Manton M. Matthews (2 shared papers)
- Journals
- Artificial Intelligence Review (1 paper)Computer Music Journal (1 paper)Journal of computing sciences in colleges (1 paper)ACM SIGCSE Bulletin (2 papers)
- Partner nations
- United StatesPortugalSpain
In The Last Decade
Walter Pharr
7 papers receiving 130 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 42
- Computer Science Applications 15
- Cognitive Neuroscience 45
- Computer Vision and Pattern Recognition 42
- Media Technology 11
Countries citing papers authored by Walter Pharr
This map shows the geographic impact of Walter Pharr'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 Walter Pharr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Pharr more than expected).
Fields of papers citing papers by Walter Pharr
This network shows the impact of papers produced by Walter Pharr. 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 Walter Pharr. The network helps show where Walter Pharr may publish in the future.
Co-authors
The 10 scholars most cited alongside Walter Pharr, 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 | 2005 | 89 | |
| 2 | 2000 | 32 | |
| 3 | A proposal to evaluate the effectiveness of closed laboratories in the computer science curriculum | 2004 | 8 |
| 4 | 2006 | 8 | |
| 5 | 2000 | 3 | |
| 6 | 1989 | 3 | |
| 7 | 2009 | 1 | |
| 8 | 2009 | 0 |
About Walter Pharr
Walter Pharr is a scholar working on Artificial Intelligence, Media Technology, Education, Computer Science Applications and Developmental and Educational Psychology, having authored 8 papers that have together received 144 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (2 papers), Innovative Teaching and Learning Methods (2 papers), Teaching and Learning Programming (2 papers), Reflective Practices in Education (2 papers), Advanced Text Analysis Techniques (1 paper), Music and Audio Processing (1 paper), Speech and dialogue systems (1 paper) and Social Robot Interaction and HRI (1 paper). The work is most often cited by research in Signal Processing (42 citations), Computer Science Applications (15 citations), Cognitive Neuroscience (45 citations), Computer Vision and Pattern Recognition (42 citations) and Media Technology (11 citations). Walter Pharr has collaborated with scholars based in United States, Portugal and Spain. Frequent co-authors include Juan Romero, Dwight Krehbiel, Bill Manaris, Timothy Hirzel, Penousal Machado, Robert Β. Davis, Gautam Biswas, Manton M. Matthews, Christopher W. Starr and Renée McCauley. Their work appears in journals such as Artificial Intelligence Review, Computer Music Journal, Journal of computing sciences in colleges and ACM SIGCSE Bulletin.
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.