Gregory Ciccarelli

645 total citations
22 papers, 448 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 448 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, Australia and Italy. 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, Paul Calamia, Benjamin Parrell and Nima Mesgarani 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 426 citations

Peers

Gregory Ciccarelli

ECP

Andreas Tsiartas United States

Elliot Moore United States

Nader Jafarnia Dabanloo Iran

Masaaki Honda Japan

Eero Väyrynen Finland

Jean‐Baptiste Eichenlaub France

Brian S. Helfer United States

Jérôme Urbain Belgium

Andrea Guidi Italy

S. R. Kim South Korea

Andreas Tsiartas United States

Gregory Ciccarelli

84 ×0.4

154 ×0.9

ECP

280 ×2.7

297 ×3.4

67 ×1.0

Citations per year, relative to Gregory Ciccarelli Gregory Ciccarelli (= 1×) peers Andreas Tsiartas

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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20 of 20 papers shown

Coppola, Luigi, Anna Grimaldi, Anna Estraneo, et al.. (2024). Peripheral blood BDNF and soluble CAM proteins as possible markers of prolonged disorders of consciousness: a pilot study. Scientific Reports. 14(1). 341–341. 4 indexed citations

Ye, Zuzhao, Gregory Ciccarelli, & Brian Kulis. (2024). Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting. 10826–10830. 2 indexed citations

Ciccarelli, Gregory, et al.. (2022). Challenges and Opportunities in Multi-device Speech Processing. Interspeech 2022. 709–713. 4 indexed citations

Borgström, Bengt, M.S. Brandstein, Gregory Ciccarelli, Thomas F. Quatieri, & Christopher J. Smalt. (2021). Speaker separation in realistic noise environments with applications to a cognitively-controlled hearing aid. Neural Networks. 140. 136–147. 15 indexed citations

Smalt, Christopher J., et al.. (2021). A deep neural-network classifier for photograph-based estimation of hearing protection attenuation and fit. The Journal of the Acoustical Society of America. 150(2). 1067–1075. 3 indexed citations

Smalt, Christopher J., et al.. (2020). Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception. Frontiers in Neuroscience. 14. 588448–588448. 16 indexed citations

Rao, Hrishikesh M., Tanya Talkar, Gregory Ciccarelli, et al.. (2020). Sensorimotor conflict tests in an immersive virtual environment reveal subclinical impairments in mild traumatic brain injury. Scientific Reports. 10(1). 9 indexed citations

Ciccarelli, Gregory, Michael A. Nolan, Hrishikesh M. Rao, et al.. (2020). Human balance models optimized using a large-scale, parallel architecture with applications to mild traumatic brain injury. 9. 1–8. 2 indexed citations

Lammert, Adam, Douglas Sturim, Daniel Hannon, et al.. (2020). Analysis of Phonetic Balance in Standard English Passages. Journal of Speech Language and Hearing Research. 63(4). 917–930. 14 indexed citations

10.

Talkar, Tanya, James R. Williamson, Adam C. Lammert, et al.. (2020). Detection of Subclinical Mild Traumatic Brain Injury (mTBI) Through Speech and Gait. 135–139. 13 indexed citations

11.

Ciccarelli, Gregory, Michael A. Nolan, Paul Calamia, et al.. (2019). Comparison of Two-Talker Attention Decoding from EEG with Nonlinear Neural Networks and Linear Methods. Scientific Reports. 9(1). 11538–11538. 92 indexed citations

12.

Ciccarelli, Gregory, Daryush D. Mehta, Laura E. Toles, et al.. (2019). Correlating an Ambulatory Voice Measure to Electrodermal Activity in Patients with Vocal Hyperfunction. PubMed. 2019. 1–4. 1 indexed citations

13.

Lammert, Adam C., Daryush D. Mehta, James R. Williamson, et al.. (2019). Vocal Biomarker Assessment Following Pediatric Traumatic Brain Injury: A Retrospective Cohort Study. 2 indexed citations

14.

Carlile, Simon, Gregory Ciccarelli, Anna C. Diedesch, et al.. (2017). Listening Into 2030 Workshop: An Experiment in Envisioning the Future of Hearing and Communication Science. Trends in Hearing. 21. 2758749396–2758749396. 2 indexed citations

15.

Ciccarelli, Gregory, Thomas F. Quatieri, & Satrajit Ghosh. (2016). Neurophysiological Vocal Source Modeling for Biomarkers of Disease. 1200–1204. 1 indexed citations

16.

Ghosh, Satrajit, Gregory Ciccarelli, Thomas F. Quatieri, & Arno Klein. (2016). Speaking one's mind: Vocal biomarkers of depression and Parkinson disease. The Journal of the Acoustical Society of America. 139(4_Supplement). 2193–2193. 2 indexed citations

17.

Traverso, Giovanni, Gregory Ciccarelli, Thomas P. Hughes, et al.. (2015). Physiologic Status Monitoring via the Gastrointestinal Tract. PLoS ONE. 10(11). e0141666–e0141666. 30 indexed citations

18.

Williamson, James R., Thomas F. Quatieri, Brian S. Helfer, et al.. (2015). Segment-dependent dynamics in predicting Parkinson's disease. 518–522. 29 indexed citations

19.

Quatieri, Thomas F., James R. Williamson, Christopher J. Smalt, et al.. (2015). Vocal biomarkers to discriminate cognitive load in a working memory task. 2684–2688. 10 indexed citations

20.

Williamson, James R., Thomas F. Quatieri, Brian S. Helfer, Gregory Ciccarelli, & Daryush D. Mehta. (2014). Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing. 65–72. 147 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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