Stavros Ntalampiras

2.4k total citations
104 papers, 1.5k citations indexed

About

Stavros Ntalampiras is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology. According to data from OpenAlex, Stavros Ntalampiras has authored 104 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Signal Processing, 41 papers in Artificial Intelligence and 16 papers in Developmental Biology. Recurrent topics in Stavros Ntalampiras's work include Music and Audio Processing (45 papers), Speech and Audio Processing (35 papers) and Anomaly Detection Techniques and Applications (19 papers). Stavros Ntalampiras is often cited by papers focused on Music and Audio Processing (45 papers), Speech and Audio Processing (35 papers) and Anomaly Detection Techniques and Applications (19 papers). Stavros Ntalampiras collaborates with scholars based in Italy, Greece and Germany. Stavros Ntalampiras's co-authors include Ilyas Potamitis, Nikos Fakotakis, Manuel Roveri, Cesare Alippi, Olaf Jahn, Klaus Riede, Todor Ganchev, Georgios Giannopoulos, Pijush Samui and Sanjiban Sekhar Roy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Stavros Ntalampiras

96 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stavros Ntalampiras Italy 22 723 487 274 258 251 104 1.5k
Kazuhiro Nakadai Japan 34 3.1k 4.3× 824 1.7× 380 1.4× 256 1.0× 863 3.4× 294 4.3k
Manoj Plakal United States 6 2.3k 3.1× 1.0k 2.1× 59 0.2× 184 0.7× 1.4k 5.5× 7 3.5k
Aki Härmä Netherlands 18 959 1.3× 246 0.5× 37 0.1× 339 1.3× 321 1.3× 85 1.4k
Nikos Fakotakis Greece 25 862 1.2× 1.5k 3.0× 48 0.2× 94 0.4× 716 2.9× 170 2.6k
Alessandro L. Koerich Brazil 26 623 0.9× 437 0.9× 45 0.2× 133 0.5× 1.2k 4.8× 112 1.9k
Brian McFee United States 23 2.3k 3.1× 987 2.0× 95 0.3× 194 0.8× 1.6k 6.2× 57 3.3k
Rif A. Saurous United States 12 2.2k 3.0× 2.0k 4.2× 66 0.2× 118 0.5× 901 3.6× 16 3.5k
Jort F. Gemmeke Belgium 20 3.4k 4.6× 1.7k 3.5× 77 0.3× 193 0.7× 1.5k 6.1× 85 4.5k
Iosif Mporas United Kingdom 19 311 0.4× 363 0.7× 146 0.5× 24 0.1× 137 0.5× 112 1.2k
Sourish Chaudhuri United States 8 1.1k 1.5× 516 1.1× 32 0.1× 93 0.4× 695 2.8× 20 1.7k

Countries citing papers authored by Stavros Ntalampiras

Since Specialization
Citations

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

Fields of papers citing papers by Stavros Ntalampiras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stavros Ntalampiras

This figure shows the co-authorship network connecting the top 25 collaborators of Stavros Ntalampiras. A scholar is included among the top collaborators of Stavros Ntalampiras 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 Stavros Ntalampiras. Stavros Ntalampiras 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.
Ntalampiras, Stavros, et al.. (2025). Explainable classification of goat vocalizations using convolutional neural networks. PLoS ONE. 20(4). e0318543–e0318543.
3.
Ntalampiras, Stavros. (2025). Interpretable Probabilistic Identification of Depression in Speech. Sensors. 25(4). 1270–1270.
4.
Ntalampiras, Stavros, et al.. (2024). Automatic Prediction of Disturbance Caused by Interfloor Sound Events. IEEE Transactions on Cognitive and Developmental Systems. 17(1). 147–154. 1 indexed citations
5.
Ntalampiras, Stavros & Qi Wen. (2024). Siamese Neural Network for Speech-Based Depression Classification and Severity Assessment. PubMed. 8(4). 577–593. 1 indexed citations
6.
Ntalampiras, Stavros, et al.. (2023). Ensemble Learning for Cough-Based Subject-Independent COVID-19 Detection. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 798–805. 2 indexed citations
7.
Ntalampiras, Stavros, et al.. (2023). A Hierarchical Approach for Multilingual Speech Emotion Recognition. 679–685. 2 indexed citations
8.
Ntalampiras, Stavros, et al.. (2023). An integrated system for the acoustic monitoring of goat farms. Ecological Informatics. 75. 102043–102043. 4 indexed citations
9.
Ntalampiras, Stavros. (2023). Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds. IEEE Journal of Biomedical and Health Informatics. 27(10). 4728–4735. 6 indexed citations
10.
Avanzini, Federico, et al.. (2022). A perceptual measure for evaluating the resynthesis of automatic music transcriptions. Multimedia Tools and Applications. 81(22). 32371–32391.
11.
Ntalampiras, Stavros, et al.. (2021). Acoustic classification of individual cat vocalizations in evolving environments. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 254–258. 4 indexed citations
12.
Ntalampiras, Stavros, et al.. (2021). Automatic acoustic classification of feline sex. 156–160. 3 indexed citations
13.
Ntalampiras, Stavros, et al.. (2021). Language-agnostic speech anger identification. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 12. 249–253. 2 indexed citations
14.
Prato‐Previde, Emanuela, Simona Cannas, C. Palestrini, et al.. (2020). What’s in a Meow? A Study on Human Classification and Interpretation of Domestic Cat Vocalizations. Animals. 10(12). 2390–2390. 24 indexed citations
15.
Ntalampiras, Stavros, et al.. (2020). ASMD: An Automatic Framework for Compiling Multimodal Datasets. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano).
16.
Ntalampiras, Stavros. (2020). Toward Language-Agnostic Speech Emotion Recognition. Journal of the Audio Engineering Society. 68(1/2). 7–13. 18 indexed citations
17.
Ntalampiras, Stavros, Luca A. Ludovico, Emanuela Prato Previde, et al.. (2019). Automatic Classification of Cat Vocalizations Emitted in Different Contexts. Animals. 9(8). 543–543. 14 indexed citations
18.
Ntalampiras, Stavros. (2014). Fault Identification in Distributed Sensor Networks Based on Universal Probabilistic Modeling. IEEE Transactions on Neural Networks and Learning Systems. 26(9). 1939–1949. 27 indexed citations
19.
Ntalampiras, Stavros, Ilyas Potamitis, & Nikos Fakotakis. (2012). Acoustic Detection of Human Activities in Natural Environments. Journal of the Audio Engineering Society. 60(9). 686–695. 15 indexed citations
20.
Ahlberg, Jörgen, Dejan Arsić, Todor Ganchev, et al.. (2008). Prometheus: Prediction and interpretation of human behaviour based on probabilistic structures and heterogeneous sensors. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5 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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