A. Venetsanopoulos

1.7k citations
84 papers · 1.1k · h-index 18

Impact in

Papers in

A. Venetsanopoulos

72 papers receiving 1.1k citations

Peers

A. Venetsanopoulos
Comparison fields: 5 of 94
  • Computational Mathematics 46
  • Signal Processing 445
  • Computer Vision and Pattern Recognition 463
  • Media Technology 99
  • Computational Mechanics 188
Replace Zhaoshui He with:
Zhaoshui He China
Bogdan Dumitrescu Romania
George N. Karystinos Greece
Martin Kleinsteuber Germany
Jicong Fan China
Dimitris A. Pados United States
Zhongqiang Luo China
P. J. Narayanan India
Zhi Han China
Yong Luo China
A. Venetsanopoulos relative to Zhaoshui He China Zhaoshui He's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Venetsanopoulos

Since Specialization
Citations

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

Fields of papers citing papers by A. Venetsanopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Venetsanopoulos, 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 A. Venetsanopoulos Line = papers co-authored together A. Venetsanopoulos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986151
2 2015128
3 197469
4
Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
201348
5 201345
6 198644
7 198543
8 201141
9 197839
10 198638
11 198538
12 198732
13 198727
14 198524
15 197820
16 198718
17 198117
18 198717
19 198717
20 198717

About A. Venetsanopoulos

A. Venetsanopoulos is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Computational Mechanics, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (32 papers), Image and Signal Denoising Methods (19 papers), Medical Image Segmentation Techniques (10 papers), Numerical Methods and Algorithms (9 papers), Face and Expression Recognition (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Wireless Networks and Protocols (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computational Mathematics (46 citations), Signal Processing (445 citations), Computer Vision and Pattern Recognition (463 citations), Media Technology (99 citations) and Computational Mechanics (188 citations). A. Venetsanopoulos has collaborated with scholars based in Canada, Greece and United States. Frequent co-authors include Ioannis Pitas, José Costa, B.G. Mertzios, Éric Dubois, C.L. Nikias, Haiping Lu, Konstantinos N. Plataniotis, Bala Venkatesh, Ahmed Shaharyar Khwaja and Alagan Anpalagan. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, Journal of the Franklin Institute, IEEE Transactions on Circuits and Systems and Neurocomputing.

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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