A.N. Venetsanopoulos

1.1k citations
6 papers · 773 indexed · 1 hit paper · h-index 5
Topics
Image and Signal Denoising Methods (3 papers)Blind Source Separation Techniques (2 papers)Neural dynamics and brain function (1 paper)
Partner nations
CanadaPoland

In The Last Decade

A.N. Venetsanopoulos

6 papers receiving 736 citations

Hit Papers

MPCA: Multilinear Principal Component Analysis of Tensor ...20082026201420202008200400600

Peers

A.N. Venetsanopoulos
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 396
  • Signal Processing 191
  • Computational Mathematics 156
  • Cognitive Neuroscience 123
  • Artificial Intelligence 119
Replace Steve Maybank with:
Steve Maybank United Kingdom
Gaoyun An China
Soosan Beheshti Canada
Nguyen Linh Trung Vietnam
Hongcheng Wang United States
Dacheng Tao Australia
Zhen Lei China
Julian Eggert Germany
A.N. Venetsanopoulos relative to Steve Maybank United Kingdom Steve Maybank's profile →
Citations per field
00.5×6.5×
Steve Maybank · 1×
Citations per year

Countries citing papers authored by A.N. Venetsanopoulos

Since Specialization
Citations

This map shows the geographic impact of A.N. 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.N. 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.N. Venetsanopoulos more than expected).

Fields of papers citing papers by A.N. Venetsanopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.N. Venetsanopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of A.N. Venetsanopoulos. A scholar is included among the top collaborators of A.N. Venetsanopoulos 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 A.N. Venetsanopoulos. A.N. Venetsanopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 89
2
MPCA: Multilinear Principal Component Analysis of Tensor Objectsbreakdown →
601
3 1
4 36
5 15
6 31

About A.N. Venetsanopoulos

A.N. Venetsanopoulos is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 6 papers that have together received 773 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Blind Source Separation Techniques (2 papers) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Computational Mathematics (156 citations), Computer Vision and Pattern Recognition (396 citations) and Signal Processing (191 citations). A.N. Venetsanopoulos has collaborated with scholars based in Canada and Poland. Frequent co-authors include Konstantinos N. Plataniotis, Haiping Lu, D. Androutsos and Bogdan Smołka. Their work appears in journals such as Signal Processing Image Communication, Electronic Notes in Theoretical Computer Science and IEEE Transactions on Neural Networks.

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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