Gregory Ciccarelli

34 total papers · 641 total citations
22 papers, 438 citations indexed

About

Gregory Ciccarelli is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Gregory Ciccarelli has authored 22 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Gregory Ciccarelli's work include Speech Recognition and Synthesis (7 papers), Voice and Speech Disorders (6 papers) and Traumatic Brain Injury Research (4 papers). Gregory Ciccarelli is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Voice and Speech Disorders (6 papers) and Traumatic Brain Injury Research (4 papers). Gregory Ciccarelli collaborates with scholars based in United States, Czechia and Canada. Gregory Ciccarelli's co-authors include Thomas F. Quatieri, James R. Williamson, Daryush D. Mehta, Brian S. Helfer, Christopher J. Smalt, Adam Lammert, Michael A. Nolan, Benjamin Parrell, Nima Mesgarani and Paul Calamia and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Gregory Ciccarelli

22 papers receiving 415 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory Ciccarelli 184 176 101 86 65 22 438
Tuka Alhanai 98 0.5× 144 0.8× 81 0.8× 218 2.5× 122 1.9× 30 491
Jérôme Urbain 70 0.4× 174 1.0× 111 1.1× 118 1.4× 120 1.8× 26 454
Sofia de la Fuente García 112 0.6× 83 0.5× 50 0.5× 180 2.1× 34 0.5× 13 392
Andrea Guidi 147 0.8× 119 0.7× 45 0.4× 29 0.3× 64 1.0× 20 460
P. W. Schönle 174 0.9× 62 0.4× 24 0.2× 21 0.2× 113 1.7× 22 432
Verena G. Skuk 249 1.4× 233 1.3× 120 1.2× 50 0.6× 50 0.8× 16 436
Coriandre Vilain 232 1.3× 247 1.4× 47 0.5× 100 1.2× 63 1.0× 28 482
Johannes Tröger 139 0.8× 81 0.5× 14 0.1× 70 0.8× 36 0.6× 63 456
Hara Tsekou 228 1.2× 87 0.5× 49 0.5× 17 0.2× 23 0.4× 18 469
Adam Lammert 79 0.4× 211 1.2× 128 1.3× 172 2.0× 25 0.4× 30 374

Countries citing papers authored by Gregory Ciccarelli

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Ciccarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Ciccarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Ciccarelli. A scholar is included among the top collaborators of Gregory Ciccarelli 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 Gregory Ciccarelli. Gregory Ciccarelli 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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