Donald Glowinski

1.1k total citations
40 papers, 587 citations indexed

About

Donald Glowinski is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Donald Glowinski has authored 40 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 19 papers in Social Psychology and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Donald Glowinski's work include Neuroscience and Music Perception (20 papers), Action Observation and Synchronization (13 papers) and Music and Audio Processing (9 papers). Donald Glowinski is often cited by papers focused on Neuroscience and Music Perception (20 papers), Action Observation and Synchronization (13 papers) and Music and Audio Processing (9 papers). Donald Glowinski collaborates with scholars based in Italy, Switzerland and France. Donald Glowinski's co-authors include Antonio Camurri, Gualtiero Volpe, Nele Dael, Klaus R. Scherer, Didier Grandjean, Marcello Mortillaro, Carlo Chiorri, Leonardo Badino, Luciano Fadiga and Alessandro D’Ausilio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neuropsychologia.

In The Last Decade

Donald Glowinski

39 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald Glowinski Italy 11 342 297 217 190 74 40 587
Giovanna Varni Italy 12 187 0.5× 214 0.7× 123 0.6× 134 0.7× 66 0.9× 51 506
Birgitta Burger Finland 15 555 1.6× 286 1.0× 232 1.1× 192 1.0× 168 2.3× 45 809
Rafael Ramírez Spain 15 409 1.2× 107 0.4× 95 0.4× 317 1.7× 293 4.0× 98 713
Antonio Rodà Italy 14 346 1.0× 84 0.3× 102 0.5× 365 1.9× 296 4.0× 79 669
Rolf Inge Godøy Norway 13 515 1.5× 118 0.4× 95 0.4× 482 2.5× 232 3.1× 27 757
Micheline Lesaffre Belgium 16 361 1.1× 125 0.4× 61 0.3× 339 1.8× 320 4.3× 52 594
Alexander P. Demos United States 15 395 1.2× 252 0.8× 130 0.6× 80 0.4× 50 0.7× 47 616
Renee Timmers United Kingdom 16 515 1.5× 168 0.6× 254 1.2× 188 1.0× 157 2.1× 68 733
Leonardo Badino Italy 15 302 0.9× 223 0.8× 129 0.6× 88 0.5× 196 2.6× 41 619
Terri L. Bonebright United States 12 291 0.9× 95 0.3× 171 0.8× 127 0.7× 67 0.9× 24 596

Countries citing papers authored by Donald Glowinski

Since Specialization
Citations

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

Fields of papers citing papers by Donald Glowinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald Glowinski

This figure shows the co-authorship network connecting the top 25 collaborators of Donald Glowinski. A scholar is included among the top collaborators of Donald Glowinski 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 Donald Glowinski. Donald Glowinski 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
2.
Ceravolo, Léonardo, et al.. (2021). Frontoparietal, Cerebellum Network Codes for Accurate Intention Prediction in Altered Perceptual Conditions. Cerebral Cortex Communications. 2(2). tgab031–tgab031. 4 indexed citations
3.
Glowinski, Donald, et al.. (2021). When Emotions are Triggered by Single Musical Notes: Revealing the Underlying Factors of Auditory-Emotion Associations. IRIS Research product catalog (Sapienza University of Rome). 291–298.
4.
Glowinski, Donald, et al.. (2020). Language is the missing link in action-perception coupling: an EEG study. Scientific Reports. 10(1). 14587–14587. 2 indexed citations
5.
Glowinski, Donald, et al.. (2019). Understanding Chromaesthesia by Strengthening Auditory -Visual-Emotional Associations. Archive ouverte UNIGE (University of Geneva). 1–7. 5 indexed citations
6.
Ceschi, Grazia, et al.. (2017). Music for anxiety? Meta-analysis of anxiety reduction in non-clinical samples. Psychology of Music. 46(4). 473–487. 60 indexed citations
7.
Labbé, Carolina, Donald Glowinski, & Didier Grandjean. (2016). The effect of ensemble and solo performance on affective experiences induced by music. Psychology of Music. 45(4). 600–608. 4 indexed citations
8.
Gnecco, Giorgio, et al.. (2016). Automatic Classification of Leading Interactions in a String Quartet. ACM Transactions on Interactive Intelligent Systems. 6(1). 1–27. 6 indexed citations
9.
Glowinski, Donald, Fabrizio Bracco, Carlo Chiorri, & Didier Grandjean. (2016). Music Ensemble as a Resilient System. Managing the Unexpected through Group Interaction. Frontiers in Psychology. 7. 1548–1548. 26 indexed citations
10.
Glowinski, Donald, Marcello Mortillaro, Klaus R. Scherer, Nele Dael, & Antonio Camurri. (2015). Towards a minimal representation of affective gestures (Extended abstract). 498–504. 9 indexed citations
11.
Camurri, Antonio, et al.. (2014). Exploiting the Shapley Value in the Estimation of the Position of a Point of Interest for a Group of Individuals. Procedia - Social and Behavioral Sciences. 108. 249–259. 2 indexed citations
12.
Gnecco, Giorgio, Donald Glowinski, Antonio Camurri, & Marcello Sanguineti. (2014). On the detection of the level of attention in an orchestra through head movements. International Journal of Arts and Technology. 7(4). 316–316. 3 indexed citations
13.
Mancini, Maurizio, Jennifer Hofmann, Tracey Platt, et al.. (2013). Towards Automated Full Body Detection of Laughter Driven by Human Expert Annotation. CINECA IRIS Institutial Research Information System (University of Genoa). 27. 757–762. 7 indexed citations
14.
Glowinski, Donald, Giorgio Gnecco, Stefano Piana, & Antonio Camurri. (2013). Expressive Non-verbal Interaction in String Quartet. 10 indexed citations
15.
Glowinski, Donald, et al.. (2013). The movements made by performers in a skilled quartet: a distinctive pattern, and the function that it serves. Frontiers in Psychology. 4. 841–841. 57 indexed citations
16.
Badino, Leonardo, Alessandro D’Ausilio, Donald Glowinski, Antonio Camurri, & Luciano Fadiga. (2013). Sensorimotor communication in professional quartets. Neuropsychologia. 55. 98–104. 67 indexed citations
17.
Glowinski, Donald, Paolo E. Coletta, Gualtiero Volpe, et al.. (2010). Multi-scale entropy analysis of dominance in social creative activities. CINECA IRIS Institutial Research Information System (University of Genoa). 1035–1038. 15 indexed citations
18.
Mancaş, Matei, et al.. (2009). Tracking-dependent and interactive video projection. ORBi UMONS. 1 indexed citations
19.
Glowinski, Donald, Antonio Camurri, Gualtiero Volpe, Nele Dael, & Klaus R. Scherer. (2008). Technique for automatic emotion recognition by body gesture analysis. CINECA IRIS Institutial Research Information System (University of Genoa). 1–6. 63 indexed citations
20.
Mancaş, Matei, et al.. (2008). Real-time motion attention and expressive gesture interfaces. Journal on Multimodal User Interfaces. 2(3-4). 187–198. 4 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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