Michele Pirovano

26 total papers · 719 total citations
15 papers, 436 citations indexed

About

Michele Pirovano is a scholar working on Rehabilitation, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Michele Pirovano has authored 15 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Rehabilitation, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Michele Pirovano's work include Stroke Rehabilitation and Recovery (10 papers), Balance, Gait, and Falls Prevention (3 papers) and Virtual Reality Applications and Impacts (3 papers). Michele Pirovano is often cited by papers focused on Stroke Rehabilitation and Recovery (10 papers), Balance, Gait, and Falls Prevention (3 papers) and Virtual Reality Applications and Impacts (3 papers). Michele Pirovano collaborates with scholars based in Italy, Switzerland and Türkiye. Michele Pirovano's co-authors include N. Alberto Borghese, Pier Luca Lanzi, Renato Mainetti, Eling D. de Bruin, Gabriel Baud‐Bovy, Elif Sürer, Rolf van de Langenberg, Marco Rabuffetti, Ruud H. Knols and Daniele Loiacono and has published in prestigious journals such as Journal of Clinical Oncology, Expert Systems with Applications and Games for Health Journal.

In The Last Decade

Michele Pirovano

14 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Michele Pirovano	224	113	86	72	72	15	436
Joel Burke	326 1.5×	182 1.6×	80 0.9×	60 0.8×	102 1.4×	4	473
Ather Nawaz	135 0.6×	97 0.9×	35 0.4×	52 0.7×	90 1.3×	15	440
Gordon Tao	124 0.6×	204 1.8×	36 0.4×	48 0.7×	43 0.6×	22	450
Nina Skjæret	135 0.6×	78 0.7×	34 0.4×	50 0.7×	93 1.3×	7	418
Jaebum Son	117 0.5×	62 0.5×	19 0.2×	30 0.4×	65 0.9×	27	414
Daryoush Daniel Vaziri	67 0.3×	106 0.9×	18 0.2×	55 0.8×	85 1.2×	18	414
Rebeca I. García-Betances	91 0.4×	93 0.8×	23 0.3×	55 0.8×	130 1.8×	17	388
Pierre‐David Petit	66 0.3×	45 0.4×	33 0.4×	32 0.4×	155 2.2×	10	430
E. Cavallaro	194 0.9×	102 0.9×	33 0.4×	26 0.4×	35 0.5×	8	480
Claudia Ferraris	104 0.5×	34 0.3×	14 0.2×	67 0.9×	63 0.9×	36	429

Countries citing papers authored by Michele Pirovano

Since Specialization

Citations

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

Fields of papers citing papers by Michele Pirovano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Pirovano

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