Gabriele Rescio

80 total papers · 1.0k total citations
48 papers, 565 citations indexed

About

Gabriele Rescio is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Gabriele Rescio has authored 48 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 20 papers in Computer Vision and Pattern Recognition and 5 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Gabriele Rescio's work include Non-Invasive Vital Sign Monitoring (21 papers), Context-Aware Activity Recognition Systems (20 papers) and Muscle activation and electromyography studies (9 papers). Gabriele Rescio is often cited by papers focused on Non-Invasive Vital Sign Monitoring (21 papers), Context-Aware Activity Recognition Systems (20 papers) and Muscle activation and electromyography studies (9 papers). Gabriele Rescio collaborates with scholars based in Italy and United States. Gabriele Rescio's co-authors include Alessandro Leone, Pietro Siciliano, Andrea Caroppo, Giovanni Diraco, Andrea Manni, M. Grassi, P. Malcovati, Alessandra Papetti, Andrea Lombardi and Luca Francioso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Gabriele Rescio

47 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Gabriele Rescio	319	230	72	71	70	48	565
Pierre Barralon	213 0.7×	304 1.3×	92 1.3×	86 1.2×	76 1.1×	30	564
Atena Roshan Fekr	311 1.0×	194 0.8×	32 0.4×	55 0.8×	77 1.1×	53	615
Jesús Fontecha	145 0.5×	270 1.2×	61 0.8×	35 0.5×	114 1.6×	41	597
Gerald Bieber	133 0.4×	214 0.9×	24 0.3×	51 0.7×	56 0.8×	57	501
Ahmet Turan Özdemir	368 1.2×	339 1.5×	117 1.6×	108 1.5×	86 1.2×	30	642
Amin Ahmadi	226 0.7×	175 0.8×	57 0.8×	63 0.9×	34 0.5×	27	553
Navid Amini	268 0.8×	169 0.7×	45 0.6×	165 2.3×	164 2.3×	33	615
Giovanni Diraco	229 0.7×	314 1.4×	36 0.5×	95 1.3×	54 0.8×	32	535
Holger Harms	323 1.0×	133 0.6×	61 0.8×	61 0.9×	40 0.6×	15	588
Kai-Chun Liu	308 1.0×	316 1.4×	104 1.4×	55 0.8×	66 0.9×	47	615

Countries citing papers authored by Gabriele Rescio

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Rescio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Rescio

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