Tomasz Sapiński

1.1k total citations · 1 hit paper
16 papers, 655 citations indexed

About

Tomasz Sapiński is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Tomasz Sapiński has authored 16 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Tomasz Sapiński's work include Emotion and Mood Recognition (7 papers), Advanced Data Compression Techniques (5 papers) and Speech and Audio Processing (4 papers). Tomasz Sapiński is often cited by papers focused on Emotion and Mood Recognition (7 papers), Advanced Data Compression Techniques (5 papers) and Speech and Audio Processing (4 papers). Tomasz Sapiński collaborates with scholars based in Poland, Estonia and Türkiye. Tomasz Sapiński's co-authors include Dorota Kamińska, Gholamreza Anbarjafari, Egils Avots, Rain Eric Haamer, S. Wiak, Cagri Ozcinar, Ahmed M. Helmi, Maie Bachmann, Fatemeh Noroozi and Maria Evelina Mognaschi and has published in prestigious journals such as Entropy, Machine Vision and Applications and Journal of the Audio Engineering Society.

In The Last Decade

Tomasz Sapiński

15 papers receiving 622 citations

Hit Papers

Virtual Reality and Its Applications in Education: Survey 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Tomasz Sapiński
Egils Avots Estonia
Moushumi Sharmin United States
David Birchfield United States
Tod Machover United States
Pradeep Buddharaju United States
Egils Avots Estonia
Tomasz Sapiński
Citations per year, relative to Tomasz Sapiński Tomasz Sapiński (= 1×) peers Egils Avots

Countries citing papers authored by Tomasz Sapiński

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Sapiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Sapiński

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

All Works

16 of 16 papers shown
1.
Cvetkovski, Goga, Лидија Петковска, S. Wiak, et al.. (2019). Virtual Reality as a Tool for Electrical Machines Assembling and Testing. 151–156. 5 indexed citations
2.
Sapiński, Tomasz, et al.. (2019). Emotion Recognition from Skeletal Movements. Entropy. 21(7). 646–646. 67 indexed citations
3.
Kamińska, Dorota, Tomasz Sapiński, S. Wiak, et al.. (2019). Virtual Reality and Its Applications in Education: Survey. Information. 10(10). 318–318. 266 indexed citations breakdown →
4.
Петковска, Лидија, Goga Cvetkovski, S. Wiak, et al.. (2019). ViMeLa Project: an Innovative Concept for Teaching Students in Mechatronics Using Virtual Reality. 135–142. 4 indexed citations
5.
Avots, Egils, Tomasz Sapiński, Maie Bachmann, & Dorota Kamińska. (2018). Audiovisual emotion recognition in wild. Machine Vision and Applications. 30(5). 975–985. 111 indexed citations
6.
Kamińska, Dorota, et al.. (2017). Ishihara Color Test Using a Mobile Virtual Reality Headset for Immobilised Patients. 297–304. 1 indexed citations
7.
Noroozi, Fatemeh, Tomasz Sapiński, Dorota Kamińska, & Gholamreza Anbarjafari. (2017). Vocal-based emotion recognition using random forests and decision tree. International Journal of Speech Technology. 20(2). 239–246. 75 indexed citations
8.
Noroozi, Fatemeh, Dorota Kamińska, Tomasz Sapiński, & Gholamreza Anbarjafari. (2017). Supervised Vocal-Based Emotion Recognition Using Multiclass Support Vector Machine, Random Forests, and Adaboost. Journal of the Audio Engineering Society. 65(7/8). 562–572. 14 indexed citations
9.
Kamińska, Dorota, Tomasz Sapiński, & Gholamreza Anbarjafari. (2017). Efficiency of chosen speech descriptors in relation to emotion recognition. EURASIP Journal on Audio Speech and Music Processing. 2017(1). 34 indexed citations
10.
Kamińska, Dorota, et al.. (2017). Virtual reality as a new trend in mechanical and electrical engineering education. Open Physics. 15(1). 936–941. 55 indexed citations
11.
Kamińska, Dorota, et al.. (2017). Virtual reality as a tool in mechatronics education. 1–2. 6 indexed citations
12.
Kamińska, Dorota, et al.. (2013). Automatic behavioural therapy tool for children with Asperger's syndrome - Paradigm. 172–175.
13.
Kamińska, Dorota, et al.. (2013). Comparison of perceptual features efficiency for automatic identification of emotional states from speech signal. Studia Informatica System and information technology. 34. 59–66. 1 indexed citations
14.
Kamińska, Dorota, et al.. (2013). Recognition of emotional states in natural speech. 1–4. 3 indexed citations
15.
Kamińska, Dorota, et al.. (2013). Porównanie wydajności współczynników perceptualnych na potrzeby automatycznego rozpoznawania emocji w sygnale mowy. Digital Library of the Silesian University of Technology (Silesian University of Technology). 34. 1 indexed citations
16.

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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