Ben Yuhas
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Moïse H. GoldsteinTerrence J. SejnowskiRobert E. JenkinsNirwan AnsariRon MeirJ. AlspectorA. JayakumarDavid P. Miller
- Topics
- Speech and Audio Processing (4 papers)Neural Networks and Applications (3 papers)Music and Audio Processing (3 papers)
- Journals
- Proceedings of the IEEEThe Journal of the Acoustical Society of AmericaConservation Biology
- Partner nations
- United StatesIsrael
In The Last Decade
Ben Yuhas
11 papers receiving 410 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 205
- Signal Processing 135
- Computer Vision and Pattern Recognition 99
- Electrical and Electronic Engineering 73
- Control and Systems Engineering 64
Countries citing papers authored by Ben Yuhas
This map shows the geographic impact of Ben Yuhas'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 Ben Yuhas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Yuhas more than expected).
Fields of papers citing papers by Ben Yuhas
This network shows the impact of papers produced by Ben Yuhas. 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 Ben Yuhas. The network helps show where Ben Yuhas may publish in the future.
Co-authorship network of co-authors of Ben Yuhas
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Yuhas. A scholar is included among the top collaborators of Ben Yuhas 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 Ben Yuhas. Ben Yuhas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 36 | |
| 3 | 1 | |
| 4 | 45 | |
| 5 | 64 | |
| 6 | A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks | 68 |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 51 | |
| 10 | Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility | 17 |
| 11 | 137 |
About Ben Yuhas
Ben Yuhas is a scholar working on Signal Processing, Safety Research and Artificial Intelligence, having authored 11 papers that have together received 446 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Neural Networks and Applications (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (135 citations), Artificial Intelligence (205 citations) and Computer Vision and Pattern Recognition (99 citations). Ben Yuhas has collaborated with scholars based in United States and Israel. Frequent co-authors include Moïse H. Goldstein, Terrence J. Sejnowski, Robert E. Jenkins, Nirwan Ansari, Ron Meir, J. Alspector, A. Jayakumar, David P. Miller, Himabindu Lakkaraju and Nasir H. Bhanpuri. Their work appears in journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America and Conservation Biology.
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.