A. Savchenko

2.8k citations
125 papers · 1.5k · 1 hit paper · h-index 19

Impact in

Papers in

A. Savchenko

113 papers receiving 1.4k citations

A. Savchenko's Hit Papers

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network 2022 · 163 citations
1630+1+2Years since publication50100150

Peers

A. Savchenko
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 465
  • Signal Processing 145
  • Experimental and Cognitive Psychology 159
  • Cellular and Molecular Neuroscience 192
  • Ophthalmology 91
Replace Dileep George with:
Dileep George United States
W. von Seelen Germany
Wieland Brendel Germany
George Tucker United States
Jeff Hawkins United States
Zhiyong Yang China
Rolf P. Würtz Germany
Nini Rao China
Michel A. Westenberg Netherlands
Dulani Meedeniya Sri Lanka
A. Savchenko relative to Dileep George United States Dileep George's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Savchenko

Since Specialization
Citations

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

Fields of papers citing papers by A. Savchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network
Hit paper breakdown →
2022163
2 2004153
3 2001106
4 200299
5 201957
6 201554
7 201945
8 199343
9 200337
10 201928
11 201928
12 202227
13 201926
14 202126
15 201323
16 201620
17 201619
18 201718
19 202118
20 201617

About A. Savchenko

A. Savchenko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology and Information Systems, having authored 125 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (24 papers), Face recognition and analysis (24 papers), Emotion and Mood Recognition (14 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (13 papers), Video Surveillance and Tracking Methods (11 papers), Diverse Scientific Research in Ukraine (10 papers) and Advanced Scientific Research Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (465 citations), Signal Processing (145 citations), Experimental and Cognitive Psychology (159 citations), Cellular and Molecular Neuroscience (192 citations) and Ophthalmology (91 citations). A. Savchenko has collaborated with scholars based in Russia, United States and Norway. Frequent co-authors include L. V. Savchenko, Ilya Makarov, В. В. Савченко, Arkady Lyubarsky, Edward N. Pugh, Jeremy Nathans, Enrico Maria Surace, Carol Cooke, Philip M. Smallwood and John C. Williams. Their work appears in journals such as Optical Memory and Neural Networks, Computer Optics, IEEE Access, Information Sciences and PeerJ Computer Science.

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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