C. Weinstein

1.4k citations
34 papers · 908 indexed · h-index 15

C. Weinstein

30 papers receiving 798 citations

Peers

C. Weinstein
Comparison fields: 5 of 75
  • Signal Processing 451
  • Computer Networks and Communications 290
  • Computational Theory and Mathematics 187
  • Computer Vision and Pattern Recognition 202
  • Management Information Systems 59
Replace C.K. Un with:
C.K. Un South Korea
Son T. Vuong Canada
R.V. Cox United States
Allen Klinger United States
A.B. Premkumar Singapore
J.-P. Adoul Canada
Lee United States
Philippe Ciblat France
Todor Cooklev United States
J. D. Robbins United States
C. Weinstein relative to C.K. Un South Korea C.K. Un's profile →
Citations per field
00.5×3.5×
C.K. Un · 1×
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-authorship network

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
#Work
1 20104
2 200625
3 20053
4 200412
5 20030
6 20030
7 20021
8 20020
9 20023
10 199514
11 19903
12 19902
13
Voice and data communication experiments on a wideband satellite/terrestrial internetwork system
19834
14 198387
15 19826
16 19782
17 197556
18 1972216
19 197115
20 196949

About C. Weinstein

C. Weinstein is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 908 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), Digital Filter Design and Implementation (5 papers), Numerical Methods and Algorithms (5 papers), Network Traffic and Congestion Control (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Signal Processing (451 citations), Computer Networks and Communications (290 citations), Computational Theory and Mathematics (187 citations), Computer Vision and Pattern Recognition (202 citations) and Management Information Systems (59 citations). C. Weinstein has collaborated with scholars based in United States. Frequent co-authors include Alan V. Oppenheim, James W. Forgie, Marilyn L. Malpass, A. Oppenheim, M. K. Fisher, T. Bially, Victor W. Zue, 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026