Valery A. Petrushin

927 citations
38 papers · 600 indexed · h-index 10

Valery A. Petrushin

32 papers receiving 555 citations

Peers

Valery A. Petrushin
Comparison fields: 5 of 69
  • Experimental and Cognitive Psychology 311
  • Signal Processing 248
  • Computer Vision and Pattern Recognition 182
  • Pharmacy 41
  • Artificial Intelligence 239
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Countries citing papers authored by Valery A. Petrushin

Since Specialization
Citations

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

Fields of papers citing papers by Valery A. Petrushin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Valery A. Petrushin, 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 Valery A. Petrushin Line = papers co-authored together Valery A. Petrushin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Multimedia Data Mining and Analytics: Disruptive Innovation
20153
2
Parameters of Fricatives and Affricates in Russian Emotional Speech
20150
3
Committee based prediction system for recommendation: KDD Cup 2011, track2
20113
4 20104
5 200733
6 200727
7 200714
8
Semantic Web Techniques for Searching and Navigating Video Shots in BBC Rushes.
20061
9
Searching for Relevant Video Shots in BBC Rushes Using Semantic Web Techniques.
20052
10
A Bayesian Framework for Robust Reasoning from Sensor Networks.
20050
11
Corporate Training in Virtual Worlds
20044
12
Shot Boundary Detection and High-level Features Extraction for the TREC Video Evaluation 2003
20031
13 20031
14
From data to insight: the community of multimedia agents
20022
15 20020
16
The PERSEUS project: creating personalized multimedia news portal
20013
17 20014
18 2000161
19
How well can People and Computers Recognize Emotions in Speech
19989
20 19880

About Valery A. Petrushin

Valery A. Petrushin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology, having authored 38 papers that have together received 600 indexed citations. Recurring topics across this work include Video Analysis and Summarization (8 papers), Video Surveillance and Tracking Methods (7 papers), Emotion and Mood Recognition (6 papers), Music and Audio Processing (4 papers), Social Robot Interaction and HRI (4 papers), Speech and dialogue systems (3 papers), Time Series Analysis and Forecasting (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (311 citations), Signal Processing (248 citations) and Computer Vision and Pattern Recognition (182 citations). Valery A. Petrushin has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Damian Roqueiro, Gang Wei, Anatole Gershman, Nicholas Yee, Jia-Yu Pan, Ishwar K. Sethi, Rayid Ghani, Siddharth Pal, Cindy E. Hmelo and Mark Guzdial. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge and Information Systems and Journal of Electronic Imaging.

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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