Thomas Pellegrini

150 total papers · 903 total citations
49 papers, 366 citations indexed

About

Thomas Pellegrini is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Pellegrini has authored 49 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 26 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Pellegrini's work include Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (17 papers). Thomas Pellegrini is often cited by papers focused on Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (17 papers). Thomas Pellegrini collaborates with scholars based in France, Portugal and United States. Thomas Pellegrini's co-authors include Isabel Trancoso, Lori Lamel, Alberto Abad, Jérôme Farinas, Hugo Meinedo, Étienne Labbé, Mathias Paulin, Nicolas Mellado, Loïc Barthe and Miguel Bugalho and has published in prestigious journals such as The Journal of the Acoustical Society of America, ACM Transactions on Graphics and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Thomas Pellegrini

48 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Pellegrini 237 158 58 54 21 49 366
Shagan Sah 110 0.5× 26 0.2× 17 0.3× 150 2.8× 31 1.5× 23 333
William Latham 99 0.4× 39 0.2× 34 0.6× 176 3.3× 19 0.9× 31 381
Antonio Origlia 129 0.5× 62 0.4× 108 1.9× 48 0.9× 54 391
P. Krishnamoorthy 168 0.7× 235 1.5× 38 0.7× 32 0.6× 55 2.6× 28 299
Weiping Tu 195 0.8× 115 0.7× 10 0.2× 138 2.6× 33 1.6× 62 387
Stephen Cox 180 0.8× 192 1.2× 30 0.5× 87 1.6× 6 0.3× 41 387
Jidong Tao 231 1.0× 172 1.1× 103 1.8× 28 0.5× 4 0.2× 18 400
Akira Kurematsu 211 0.9× 240 1.5× 23 0.4× 114 2.1× 42 2.0× 36 382
Mohamed Hesham Farouk 129 0.5× 93 0.6× 7 0.1× 66 1.2× 5 0.2× 48 311
Xing Fan 322 1.4× 178 1.1× 16 0.3× 75 1.4× 7 0.3× 34 398

Countries citing papers authored by Thomas Pellegrini

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Pellegrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Pellegrini

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

All Works

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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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