Sergey Pugachevskiy

570 total citations
7 papers, 320 citations indexed

About

Sergey Pugachevskiy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Sergey Pugachevskiy has authored 7 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Sergey Pugachevskiy's work include Music and Audio Processing (5 papers), Speech and Audio Processing (4 papers) and Music Technology and Sound Studies (2 papers). Sergey Pugachevskiy is often cited by papers focused on Music and Audio Processing (5 papers), Speech and Audio Processing (4 papers) and Music Technology and Sound Studies (2 papers). Sergey Pugachevskiy collaborates with scholars based in Germany, United Kingdom and United States. Sergey Pugachevskiy's co-authors include Björn W. Schuller, Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Michael Freitag, Sandra Ottl, Alice Baird, Jouni Pohjalainen, Erik Marchi and Simone Hantke and has published in prestigious journals such as IEEE Transactions on Games and OPUS (Augsburg University).

In The Last Decade

Sergey Pugachevskiy

7 papers receiving 303 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sergey Pugachevskiy Germany 7 170 129 103 56 43 7 320
Sandra Ottl Germany 13 207 1.2× 192 1.5× 191 1.9× 74 1.3× 77 1.8× 20 483
Simone Hantke Germany 15 249 1.5× 253 2.0× 167 1.6× 70 1.3× 66 1.5× 32 553
Adria Mallol-Ragolta Germany 11 134 0.8× 160 1.2× 139 1.3× 54 1.0× 59 1.4× 30 326
Zhaocheng Huang Australia 13 109 0.6× 162 1.3× 293 2.8× 41 0.7× 122 2.8× 23 403
Maurice Gerczuk Germany 14 260 1.5× 259 2.0× 246 2.4× 92 1.6× 101 2.3× 40 641
S. Lalitha India 10 154 0.9× 168 1.3× 225 2.2× 82 1.5× 36 0.8× 29 397
Theodoros Iliou Greece 11 235 1.4× 185 1.4× 344 3.3× 91 1.6× 75 1.7× 20 591
Alberto Abad Portugal 15 384 2.3× 423 3.3× 94 0.9× 116 2.1× 23 0.5× 101 736
Jérôme Urbain Belgium 13 111 0.7× 118 0.9× 174 1.7× 62 1.1× 120 2.8× 26 456
Brian Stasak Australia 11 65 0.4× 105 0.8× 204 2.0× 24 0.4× 98 2.3× 14 296

Countries citing papers authored by Sergey Pugachevskiy

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Pugachevskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Pugachevskiy

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

All Works

7 of 7 papers shown
1.
Amiriparian, Shahin, Nicholas Cummins, Maurice Gerczuk, et al.. (2019). “Are You Playing a Shooter Again?!” Deep Representation Learning for Audio-Based Video Game Genre Recognition. IEEE Transactions on Games. 12(2). 145–154. 13 indexed citations
2.
Amiriparian, Shahin, Maurice Gerczuk, Sandra Ottl, et al.. (2018). Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. OPUS (Augsburg University). 1–7. 21 indexed citations
3.
Freitag, Michael, et al.. (2018). A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification. OPUS (Augsburg University). 977–981. 11 indexed citations
4.
Amiriparian, Shahin, Maurice Gerczuk, Sandra Ottl, et al.. (2017). Snore Sound Classification Using Image-Based Deep Spectrum Features. OPUS (Augsburg University). 3512–3516. 206 indexed citations
5.
Amiriparian, Shahin, Sergey Pugachevskiy, Nicholas Cummins, et al.. (2017). CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. OPUS (Augsburg University). 340–345. 23 indexed citations
6.
Baird, Alice, Shahin Amiriparian, Nicholas Cummins, et al.. (2017). Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. OPUS (Augsburg University). 849–853. 30 indexed citations
7.
Amiriparian, Shahin, Jouni Pohjalainen, Erik Marchi, Sergey Pugachevskiy, & Björn W. Schuller. (2016). Is Deception Emotional? An Emotion-Driven Predictive Approach. OPUS (Augsburg University). 2011–2015. 16 indexed citations

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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