Giuseppe Tortora

59 total papers · 1.1k total citations
40 papers, 886 citations indexed

About

Giuseppe Tortora is a scholar working on Surgery, Biomedical Engineering and Gastroenterology. According to data from OpenAlex, Giuseppe Tortora has authored 40 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 18 papers in Biomedical Engineering and 11 papers in Gastroenterology. Recurrent topics in Giuseppe Tortora's work include Soft Robotics and Applications (11 papers), Surgical Simulation and Training (9 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (8 papers). Giuseppe Tortora is often cited by papers focused on Soft Robotics and Applications (11 papers), Surgical Simulation and Training (9 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (8 papers). Giuseppe Tortora collaborates with scholars based in Italy, United States and France. Giuseppe Tortora's co-authors include Arianna Menciassi, Paolo Dario, Pietro Valdastri, Robert J. Webster, M Simi, Linda Paternò, Iris De Falco, Bert Lenaerts, R. Carta and Jef Thoné and has published in prestigious journals such as Frontiers in Microbiology, IEEE Transactions on Biomedical Engineering and Biosensors and Bioelectronics.

In The Last Decade

Giuseppe Tortora

40 papers receiving 868 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Tortora	444	314	290	162	159	40	886
Claudio Quaglia	450 1.0×	426 1.4×	433 1.5×	150 0.9×	86 0.5×	19	858
Donghoon Son	574 1.3×	151 0.5×	78 0.3×	299 1.8×	100 0.6×	32	1.0k
Marco Salerno	510 1.1×	112 0.4×	94 0.3×	108 0.7×	44 0.3×	20	724
M. Sendoh	495 1.1×	228 0.7×	149 0.5×	580 3.6×	134 0.8×	46	924
James H. Chandler	709 1.6×	37 0.1×	95 0.3×	389 2.4×	63 0.4×	56	923
Yan Zhao	482 1.1×	27 0.1×	223 0.8×	51 0.3×	201 1.3×	78	943
Raúl Fernández	243 0.5×	206 0.7×	706 2.4×	29 0.2×	21 0.1×	48	1.0k
David P. Noonan	500 1.1×	33 0.1×	332 1.1×	52 0.3×	23 0.1×	24	700
Semi Jeong	657 1.5×	102 0.3×	47 0.2×	676 4.2×	105 0.7×	36	895
Philippe Zanne	524 1.2×	93 0.3×	309 1.1×	25 0.2×	10 0.1×	35	717

Countries citing papers authored by Giuseppe Tortora

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Tortora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Tortora

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