Visar Berisha

3.4k total citations · 1 hit paper
155 papers, 2.1k citations indexed

About

Visar Berisha is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Visar Berisha has authored 155 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 48 papers in Signal Processing and 30 papers in Physiology. Recurrent topics in Visar Berisha's work include Speech Recognition and Synthesis (43 papers), Speech and Audio Processing (38 papers) and Voice and Speech Disorders (30 papers). Visar Berisha is often cited by papers focused on Speech Recognition and Synthesis (43 papers), Speech and Audio Processing (38 papers) and Voice and Speech Disorders (30 papers). Visar Berisha collaborates with scholars based in United States, Sweden and New Zealand. Visar Berisha's co-authors include Julie Liss, Andreas Spanias, Todd J. Schwedt, Catherine D. Chong, Katherine Ross, Shira Hahn, Ming Tu, Gina Dumkrieger, Rene L. Utianski and Jeremy M. Shefner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Visar Berisha

144 papers receiving 2.0k citations

Hit Papers

Digital medicine and the curse of dimensionality 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Digital medicine and the curse of dimensionality
    2021 178 citations Visar Berisha, Gautam Dasarathy et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Visar Berisha United States 24 588 472 394 353 329 155 2.1k
Jiří Mekyska Czechia 24 316 0.5× 117 0.2× 855 2.2× 714 2.0× 330 1.0× 87 2.0k
Metin Akay United States 38 352 0.6× 164 0.3× 275 0.7× 439 1.2× 1.2k 3.6× 220 5.4k
Marcos Faúndez-Zanuy Spain 30 900 1.5× 168 0.4× 594 1.5× 600 1.7× 414 1.3× 157 3.7k
Luca Mainardi Italy 38 174 0.3× 314 0.7× 205 0.5× 245 0.7× 1.0k 3.2× 321 5.2k
Jordi Solé‐Casals Spain 24 279 0.5× 157 0.3× 169 0.4× 105 0.3× 852 2.6× 126 1.8k
Alessandro Pasquale De Rosa Portugal 29 471 0.8× 238 0.5× 566 1.4× 82 0.2× 2.2k 6.5× 171 3.9k
Helge B. D. Sørensen Denmark 31 132 0.2× 356 0.8× 433 1.1× 348 1.0× 1.9k 5.8× 190 3.2k
Juan Camilo Vásquez-Correa Colombia 19 461 0.8× 31 0.1× 646 1.6× 282 0.8× 116 0.4× 68 1.2k
Prabal Datta Barua Australia 33 1.1k 1.8× 208 0.4× 169 0.4× 154 0.4× 1.1k 3.2× 167 3.9k
Malek Adjouadi United States 31 399 0.7× 621 1.3× 274 0.7× 63 0.2× 1.2k 3.6× 263 3.0k

Countries citing papers authored by Visar Berisha

Since Specialization
Citations

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

Fields of papers citing papers by Visar Berisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Visar Berisha

This figure shows the co-authorship network connecting the top 25 collaborators of Visar Berisha. A scholar is included among the top collaborators of Visar Berisha 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 Visar Berisha. Visar Berisha 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.
Zhang, Jianwei, Abdelmohaymin Abdalla, Adam J. Brown, et al.. (2025). 360 Using machine learning to analyze voice and detect aspiration. Journal of Clinical and Translational Science. 9(s1). 111–111.
2.
Xu, Lingfeng, Visar Berisha, Rene L. Utianski, & Julie Liss. (2025). Evaluating Model Interpretability in Speech-Based Clinical Artificial Intelligence Systems. Perspectives of the ASHA Special Interest Groups. 10(5). 1637–1648.
3.
Prasanna, S. R. Mahadeva, et al.. (2025). Cross-lingual Evaluation Of Hypernasality Using Wav2Vec2 Features. 1–5.
4.
Liss, Julie & Visar Berisha. (2024). Operationalizing Clinical Speech Analytics: Moving From Features to Measures for Real-World Clinical Impact. Journal of Speech Language and Hearing Research. 67(11). 4226–4232. 3 indexed citations
5.
Berisha, Visar, et al.. (2023). Does Human Speech Follow Benford’s Law?. 586. 1–5.
6.
Dumkrieger, Gina, Catherine D. Chong, Katherine Ross, Visar Berisha, & Todd J. Schwedt. (2023). The value of brain MRI functional connectivity data in a machine learning classifier for distinguishing migraine from persistent post-traumatic headache. SHILAP Revista de lepidopterología. 3. 1012831–1012831. 11 indexed citations
7.
Liss, Julie, et al.. (2023). Reliability and validity of a widely-available AI tool for assessment of stress based on speech. Scientific Reports. 13(1). 20224–20224. 4 indexed citations
8.
Xu, Lingfeng, et al.. (2022). Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech. Interspeech 2022. 2022. 2263–2267. 3 indexed citations
9.
Borrie, Stephanie A., et al.. (2021). Healthy Communication Partners Modify Their Speech When Conversing With Individuals With Parkinson's Disease. Journal of Speech Language and Hearing Research. 64(5). 1539–1549. 3 indexed citations
10.
Koscik, Rebecca L., et al.. (2021). Spatio-Semantic Graphs From Picture Description: Applications to Detection of Cognitive Impairment. Frontiers in Neurology. 12. 795374–795374. 7 indexed citations
11.
Li, Weizhi, Gautam Dasarathy, & Visar Berisha. (2020). Regularization via Structural Label Smoothing. International Conference on Artificial Intelligence and Statistics. 1453–1463. 5 indexed citations
12.
Tripathi, Ayush, et al.. (2019). Robust Estimation of Hypernasality in Dysarthria.. arXiv (Cornell University). 1 indexed citations
13.
Liss, Julie, et al.. (2019). Investigating the Effects of Word Substitution Errors on Sentence Embeddings. PubMed. 2019. 7315–7319. 7 indexed citations
14.
Liss, Julie, et al.. (2019). Objective Measures of Plosive Nasalization in Hypernasal Speech. PubMed. 2019. 6520–6524. 11 indexed citations
15.
Borrie, Stephanie A., et al.. (2019). Do Conversational Partners Entrain on Articulatory Precision?. PubMed. 2019. 1931–1935. 5 indexed citations
16.
Liss, Julie, et al.. (2019). A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders. IEEE Journal of Selected Topics in Signal Processing. 14(2). 282–298. 63 indexed citations
17.
Berisha, Visar, et al.. (2017). A data-driven basis for direct estimation of functionals of distributions.. arXiv (Cornell University). 1 indexed citations
18.
19.
Berisha, Visar, et al.. (2015). Convex Weighting Criteria for Speaking Rate Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(9). 1421–1430. 16 indexed citations
20.
Schwedt, Todd J., Visar Berisha, & Catherine D. Chong. (2015). Temporal Lobe Cortical Thickness Correlations Differentiate the Migraine Brain from the Healthy Brain. PLoS ONE. 10(2). e0116687–e0116687. 46 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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