C. Weinstein

1.4k citations
34 papers · 974 · h-index 15

Impact in

Papers in

C. Weinstein

30 papers receiving 852 citations

Peers

C. Weinstein
Comparison fields: 5 of 76
  • Signal Processing 487
  • Computer Networks and Communications 299
  • Computational Theory and Mathematics 203
  • Computer Vision and Pattern Recognition 215
  • Management Information Systems 63
Replace C.K. Un with:
C.K. Un South Korea
Philippe Ciblat France
R.V. Cox United States
A.B. Premkumar Singapore
J.-P. Adoul Canada
M. Narasimha United States
Yanqing Liu China
Emina Soljanin United States
Todor Cooklev United States
Richard Chamberlain United Kingdom
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by C. Weinstein

Since Specialization
Citations

This map shows the geographic impact of C. Weinstein'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 C. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Weinstein more than expected).

Fields of papers citing papers by C. Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Weinstein. 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 C. Weinstein. The network helps show where C. Weinstein may publish in the future.

Co-authors

The 25 scholars most cited alongside C. Weinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Weinstein Line = papers co-authored together C. Weinstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972230
2 197889
3 198388
4 198079
5 197567
6 196961
7 200654
8 196952
9 197250
10 198046
11 197926
12 200626
13 199118
14 197116
15 199515
16 200412
17 19696
18 19826
19
Voice and data communication experiments on a wideband satellite/terrestrial internetwork system
19834
20 20104

About C. Weinstein

C. Weinstein is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 34 papers that have together received 974 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (9 papers), Wireless Communication Networks Research (7 papers), Advanced Adaptive Filtering Techniques (5 papers), Numerical Methods and Algorithms (5 papers), Digital Filter Design and Implementation (5 papers), Network Traffic and Congestion Control (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Signal Processing (487 citations), Computer Networks and Communications (299 citations), Computational Theory and Mathematics (203 citations), Computer Vision and Pattern Recognition (215 citations) and Management Information Systems (63 citations). C. Weinstein has collaborated with scholars based in United States. Frequent co-authors include Alan V. Oppenheim, James W. Forgie, A. Oppenheim, Marilyn L. Malpass, M. K. Fisher, Victor W. Zue, T. Bially, E. Hofstetter, Thomas F. Quatieri and William M. Campbell. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, Experimental Cell Research and Proceedings of the National Academy of Sciences.

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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