V. Cuperman

1.5k citations
74 papers · 908 indexed · h-index 12

V. Cuperman

63 papers receiving 826 citations

Peers

V. Cuperman
Comparison fields: 5 of 45
  • Signal Processing 613
  • Computer Vision and Pattern Recognition 786
  • Artificial Intelligence 198
  • Computational Mechanics 126
  • Computer Networks and Communications 117
Replace R. Salami with:
R. Salami Canada
P. Hedelin Sweden
B. Bessette Canada
Wai C. Chu United States
K. Järvinen Finland
Chao Cheng United States
R. Aravind India
Songlin Zhao United States
Jelena Nikolić Serbia
Chanchal Chatterjee United States
V. Cuperman relative to R. Salami Canada R. Salami's profile →
Citations per field
00.5×1.5×
R. Salami · 1×
Citations per year

Countries citing papers authored by V. Cuperman

Since Specialization
Citations

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

Fields of papers citing papers by V. Cuperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside V. Cuperman, 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 V. Cuperman Line = papers co-authored together V. Cuperman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20051
2 200419
3 200335
4 20034
5 20035
6 20033
7 20039
8 20032
9 200232
10 20021
11 20021
12 200212
13 20028
14 20028
15 200211
16 20010
17 19991
18 199412
19 199190
20 19901

About V. Cuperman

V. Cuperman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Computer Networks and Communications, having authored 74 papers that have together received 908 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (68 papers), Speech and Audio Processing (43 papers), Digital Filter Design and Implementation (31 papers), Advanced Adaptive Filtering Techniques (16 papers), Image and Signal Denoising Methods (15 papers), Advanced Wireless Communication Techniques (11 papers), Speech Recognition and Synthesis (9 papers) and Wireless Communication Networks Research (5 papers). The work is most often cited by research in Signal Processing (613 citations), Computer Vision and Pattern Recognition (786 citations), Artificial Intelligence (198 citations), Computational Mechanics (126 citations) and Computer Networks and Communications (117 citations). V. Cuperman has collaborated with scholars based in Canada, United States and India. Frequent co-authors include A. Gersho, Bishnu S. Atal, S. Mahmoud, P. Ho, Tian Wang, Kazuhito Koishida, E. Shlomot, John Collura, Honghui Dong and Jerry D. Gibson. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Communications, Speech Communication, European Transactions on Telecommunications and IEEE Transactions on Information Theory.

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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