J. Wilpon
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology
- Computational Mechanics
- Co-authors
- L. R. RabinerA. E. RosenbergBiing-Hwang JuangS. LevinsonLori LamelDaniel KahnBiing‐Hwang JuangAnthony Quinn
- Topics
- Speech Recognition and Synthesis (24 papers)Music and Audio Processing (15 papers)Time Series Analysis and Forecasting (12 papers)
- Journals
- The Journal of the Acoustical Society of AmericaSpeech CommunicationIEEE Transactions on Acoustics Speech and Signal Processing
- Partner nations
- United StatesGermanyCanada
In The Last Decade
J. Wilpon
29 papers receiving 813 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 796
- Signal Processing 744
- Computer Vision and Pattern Recognition 177
- Experimental and Cognitive Psychology 45
- Computational Mechanics 34
Countries citing papers authored by J. Wilpon
This map shows the geographic impact of J. Wilpon'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 J. Wilpon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Wilpon more than expected).
Fields of papers citing papers by J. Wilpon
This network shows the impact of papers produced by J. Wilpon. 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 J. Wilpon. The network helps show where J. Wilpon may publish in the future.
Co-authorship network of co-authors of J. Wilpon
This figure shows the co-authorship network connecting the top 25 collaborators of J. Wilpon. A scholar is included among the top collaborators of J. Wilpon 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 J. Wilpon. J. Wilpon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 180 | |
| 17 | 140 | |
| 18 | 35 | |
| 19 | 34 | |
| 20 | 60 |
About J. Wilpon
J. Wilpon is a scholar working on Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 31 papers that have together received 962 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (24 papers), Music and Audio Processing (15 papers) and Time Series Analysis and Forecasting (12 papers). The work is most often cited by research in Signal Processing (744 citations), Artificial Intelligence (796 citations) and Computer Vision and Pattern Recognition (177 citations). J. Wilpon has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include L. R. Rabiner, A. E. Rosenberg, Biing-Hwang Juang, S. Levinson, Lori Lamel, Daniel Kahn, Biing‐Hwang Juang, Anthony Quinn, B.-H. Juang and J. D. Williams. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication and IEEE Transactions on Acoustics Speech and Signal Processing.
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.