Ben Yuhas

661 total citations
11 papers, 446 citations indexed

About

Ben Yuhas is a scholar working on Signal Processing, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ben Yuhas has authored 11 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Ben Yuhas's work include Speech and Audio Processing (4 papers), Neural Networks and Applications (3 papers) and Music and Audio Processing (3 papers). Ben Yuhas is often cited by papers focused on Speech and Audio Processing (4 papers), Neural Networks and Applications (3 papers) and Music and Audio Processing (3 papers). Ben Yuhas collaborates with scholars based in United States and Israel. Ben Yuhas's 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 and has published in prestigious journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America and Conservation Biology.

In The Last Decade

Ben Yuhas

11 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ben Yuhas United States	9	205	135	99	73	64	11	446
Gregory J. Wolff United States	7	267 1.3×	105 0.8×	308 3.1×	75 1.0×	57 0.9×	13	666
Michael Paraskevas Greece	12	110 0.5×	124 0.9×	43 0.4×	72 1.0×	19 0.3×	63	394
D. S. Bormane India	12	74 0.4×	91 0.7×	180 1.8×	40 0.5×	17 0.3×	62	407
Shingo Kuroiwa Japan	13	431 2.1×	289 2.1×	102 1.0×	112 1.5×	25 0.4×	140	765
Dominique Vaufreydaz France	10	136 0.7×	56 0.4×	175 1.8×	81 1.1×	30 0.5×	30	380
Mohit Kumar United States	4	167 0.8×	90 0.7×	68 0.7×	33 0.5×	31 0.5×	14	314
Anastasis Kounoudes Greece	10	265 1.3×	246 1.8×	79 0.8×	54 0.7×	15 0.2×	27	508
Chai Wutiwiwatchai Thailand	11	360 1.8×	246 1.8×	113 1.1×	34 0.5×	19 0.3×	110	544
Ashish Verma India	13	338 1.6×	239 1.8×	151 1.5×	28 0.4×	15 0.2×	69	563
Shingchern D. You Taiwan	10	65 0.3×	96 0.7×	83 0.8×	55 0.8×	20 0.3×	57	290

Countries citing papers authored by Ben Yuhas

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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11 of 11 papers shown

1.

Metcalf, Alexander L., et al.. (2019). Microtargeting for conservation. Conservation Biology. 33(5). 1141–1150. 15 indexed citations

2.

Aguiar, Everaldo, et al.. (2015). Who, when, and why. 93–102. 36 indexed citations

3.

Yuhas, Ben. (2003). Automated sound localization through adaptation. 2. 907–912. 1 indexed citations

4.

Yuhas, Ben & Nirwan Ansari. (1994). Neural Networks in Telecommunications. CERN Document Server (European Organization for Nuclear Research). 45 indexed citations

5.

Jenkins, Robert E. & Ben Yuhas. (1993). A simplified neural network solution through problem decomposition: the case of the truck backer-upper. IEEE Transactions on Neural Networks. 4(4). 718–720. 64 indexed citations

6.

Alspector, J., et al.. (1992). A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks. neural information processing systems. 5. 836–844. 68 indexed citations

7.

Jenkins, Robert E. & Ben Yuhas. (1992). A Simplified Neural-Network Solution through Problem Decomposition: The Case of the Truck Backer-Upper. Neural Computation. 4(5). 647–649. 9 indexed citations

8.

Yuhas, Ben & Moïse H. Goldstein. (1991). Comparing human and neural network lip readers. The Journal of the Acoustical Society of America. 90(1). 598–600. 3 indexed citations

9.

Yuhas, Ben, Moïse H. Goldstein, Terrence J. Sejnowski, & Robert E. Jenkins. (1990). Neural network models of sensory integration for improved vowel recognition. Proceedings of the IEEE. 78(10). 1658–1668. 51 indexed citations

10.

Sejnowski, Terrence J., Ben Yuhas, Moïse H. Goldstein, & Robert E. Jenkins. (1989). Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. Neural Information Processing Systems. 2. 232–239. 17 indexed citations

11.

Yuhas, Ben, Moïse H. Goldstein, & Terrence J. Sejnowski. (1989). Integration of acoustic and visual speech signals using neural networks. IEEE Communications Magazine. 27(11). 65–71. 137 indexed citations

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.

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