Piotr Żelasko

669 total citations
33 papers, 334 citations indexed

About

Piotr Żelasko is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Piotr Żelasko has authored 33 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 16 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Piotr Żelasko's work include Speech Recognition and Synthesis (29 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (11 papers). Piotr Żelasko is often cited by papers focused on Speech Recognition and Synthesis (29 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (11 papers). Piotr Żelasko collaborates with scholars based in United States, Poland and China. Piotr Żelasko's co-authors include Najim Dehak, Jesús Villalba, Konrad Kowalczyk, Jakub Gałka, Nanxin Chen, Laureano Moro-Velázquez, Shinji Watanabe, Bartosz Ziółko, Jaejin Cho and Raghavendra Pappagari and has published in prestigious journals such as IEEE Signal Processing Letters, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Piotr Żelasko

28 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piotr Żelasko United States 9 249 197 44 25 24 33 334
M. A. Anusuya India 6 214 0.9× 179 0.9× 39 0.9× 24 1.0× 18 0.8× 22 299
Alejandro Gomez-Alanis Spain 8 195 0.8× 213 1.1× 50 1.1× 12 0.5× 21 0.9× 13 278
Phani Sankar Nidadavolu United States 10 198 0.8× 174 0.9× 36 0.8× 27 1.1× 70 2.9× 16 295
Jakub Gałka Poland 7 194 0.8× 212 1.1× 88 2.0× 11 0.4× 19 0.8× 23 352
Hannah Muckenhirn Switzerland 8 405 1.6× 416 2.1× 36 0.8× 26 1.0× 19 0.8× 11 487
Daniel Tihelka Czechia 9 195 0.8× 109 0.6× 30 0.7× 40 1.6× 16 0.7× 44 238
S. Jothilakshmi India 10 217 0.9× 166 0.8× 58 1.3× 25 1.0× 21 0.9× 47 321
Hardik B. Sailor India 9 257 1.0× 327 1.7× 78 1.8× 8 0.3× 19 0.8× 35 386
Kyu J. Han United States 12 371 1.5× 311 1.6× 44 1.0× 50 2.0× 11 0.5× 38 456
Heinrich Dinkel China 12 317 1.3× 384 1.9× 100 2.3× 15 0.6× 22 0.9× 30 439

Countries citing papers authored by Piotr Żelasko

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Żelasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Żelasko

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

All Works

20 of 20 papers shown
1.
Żelasko, Piotr, Zhehuai Chen, Daniel Gálvez, et al.. (2025). EMMeTT: Efficient Multimodal Machine Translation Training. 1–5. 1 indexed citations
2.
Hu, Ke, Zhehuai Chen, Chao-Han Huck Yang, et al.. (2025). Chain-of-Thought Prompting for Speech Translation. 1–5. 2 indexed citations
4.
Kataria, Saurabh, Jesús Villalba, Laureano Moro-Velázquez, Piotr Żelasko, & Najim Dehak. (2024). Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1736–1749. 2 indexed citations
5.
Chen, Zhehuai, et al.. (2024). Bestow: Efficient and Streamable Speech Language Model with The Best of Two Worlds in GPT and T5. 147–154. 2 indexed citations
7.
8.
Żelasko, Piotr, et al.. (2023). Delay-Penalized Transducer for Low-Latency Streaming ASR. 1–5. 3 indexed citations
9.
Kataria, Saurabh, et al.. (2022). Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser. Interspeech 2022. 5035–5039. 4 indexed citations
10.
Villalba, Jesús, et al.. (2022). Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2002–2014. 15 indexed citations
11.
Pappagari, Raghavendra, Jaejin Cho, Laureano Moro-Velázquez, et al.. (2021). Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. 3825–3829. 37 indexed citations
12.
Cho, Jaejin, Piotr Żelasko, Jesús Villalba, & Najim Dehak. (2021). Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. 6733–6737.
13.
Chen, Nanxin, Piotr Żelasko, Laureano Moro-Velázquez, Jesús Villalba, & Najim Dehak. (2021). Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. 3770–3774. 9 indexed citations
14.
Chen, Nanxin, Piotr Żelasko, Jesús Villalba, & Najim Dehak. (2021). Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. 12. 5994–5998. 2 indexed citations
15.
Morzy, Mikołaj, et al.. (2020). Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business. Foundations of Computing and Decision Sciences. 45(4). 281–304. 2 indexed citations
16.
Chen, Nanxin, Shinji Watanabe, Jesús Villalba, Piotr Żelasko, & Najim Dehak. (2020). Non-Autoregressive Transformer for Speech Recognition. IEEE Signal Processing Letters. 28. 121–125. 58 indexed citations
17.
Żelasko, Piotr. (2017). LSTM Network for Inflected Abbreviation Expansion. arXiv (Cornell University). 1 indexed citations
18.
Żelasko, Piotr, et al.. (2017). Audio Replay Attack Detection Using High-Frequency Features. 27–31. 104 indexed citations
19.
Ziółko, Bartosz, et al.. (2015). SARMATA 2.0 automatic Polish language speech recognition system.. Conference of the International Speech Communication Association. 1062–1063. 3 indexed citations
20.
Żelasko, Piotr, et al.. (2015). AGH corpus of Polish speech. Language Resources and Evaluation. 50(3). 585–601. 14 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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