Gašper Beguš

422 total citations
18 papers, 101 citations indexed

About

Gašper Beguš is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Linguistics and Language. According to data from OpenAlex, Gašper Beguš has authored 18 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Experimental and Cognitive Psychology and 6 papers in Linguistics and Language. Recurrent topics in Gašper Beguš's work include Speech Recognition and Synthesis (9 papers), Phonetics and Phonology Research (9 papers) and Linguistic Variation and Morphology (6 papers). Gašper Beguš is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Phonetics and Phonology Research (9 papers) and Linguistic Variation and Morphology (6 papers). Gašper Beguš collaborates with scholars based in United States, Dominica and Canada. Gašper Beguš's co-authors include T. Christina Zhao, Robert J. Wood, David F. Gruber, Roger Payne, Antonio Torralba, Giovanni Petri, Shafi Goldwasser, Jacob Andreas, Michael M. Bronstein and Shane Gero and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and Language.

In The Last Decade

Gašper Beguš

15 papers receiving 96 citations

Peers

Gašper Beguš
Gašper Beguš
Citations per year, relative to Gašper Beguš Gašper Beguš (= 1×) peers Sébastien Le Maguer

Countries citing papers authored by Gašper Beguš

Since Specialization
Citations

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

Fields of papers citing papers by Gašper Beguš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gašper Beguš

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

All Works

18 of 18 papers shown
1.
Beguš, Gašper, et al.. (2025). Vowel- and Diphthong-Like Spectral Patterns in Sperm Whale Codas. Open Mind. 9. 1849–1874.
2.
Beguš, Gašper, et al.. (2025). Large Linguistic Models: Investigating LLMs’ Metalinguistic Abilities. IEEE Transactions on Artificial Intelligence. 6(12). 3453–3467. 2 indexed citations
3.
Beguš, Gašper, et al.. (2024). Complex diachronies of final nasalization in Austronesian and Dakota. Glossa a journal of general linguistics. 9(1).
4.
Beguš, Gašper, et al.. (2024). The blurring history of intervocalic devoicing. Journal of Linguistics. 61(2). 211–230. 1 indexed citations
5.
Beguš, Gašper, et al.. (2023). Encoding of speech in convolutional layers and the brain stem based on language experience. Scientific Reports. 13(1). 6480–6480. 5 indexed citations
6.
Andreas, Jacob, Gašper Beguš, Michael M. Bronstein, et al.. (2022). Toward understanding the communication in sperm whales. iScience. 25(6). 104393–104393. 19 indexed citations
7.
Beguš, Gašper. (2022). Distinguishing Cognitive from Historical Influences in Phonology. Language. 98(1). 1–34. 4 indexed citations
8.
Beguš, Gašper, et al.. (2022). Interpreting Intermediate Convolutional Layers of Generative CNNs Trained on Waveforms. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 3214–3229. 5 indexed citations
9.
Beguš, Gašper, et al.. (2022). Interpreting Intermediate Convolutional Layers In Unsupervised Acoustic Word Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8207–8211. 3 indexed citations
11.
Beguš, Gašper. (2021). CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. Neural Networks. 139. 305–325. 17 indexed citations
12.
Beguš, Gašper. (2020). Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. arXiv (Cornell University). 8 indexed citations
14.
Beguš, Gašper. (2020). Estimating historical probabilities of natural and unnatural processes. Phonology. 37(4). 515–549. 7 indexed citations
15.
Beguš, Gašper. (2020). Modeling unsupervised phonetic and phonological learning in Generative Adversarial Phonology. University of Massachusetts (UMass) Amherst. 3(1). 138–148. 4 indexed citations
16.
Beguš, Gašper. (2018). Post-nasal devoicing and the blurring process. Journal of Linguistics. 55(4). 689–753. 10 indexed citations
17.
Beguš, Gašper. (2017). Effects of ejective stops on preceding vowel duration. The Journal of the Acoustical Society of America. 142(4). 2168–2184. 7 indexed citations
18.
Beguš, Gašper. (2011). Relativna kronologija naglasnih pojavov govora Žirovske kotline poljanskega narečja. KU ScholarWorks (The University of Kansas).

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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