Valeria Scotti

45 total papers · 997 total citations
24 papers, 482 citations indexed

About

Valeria Scotti is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Statistics, Probability and Uncertainty. According to data from OpenAlex, Valeria Scotti has authored 24 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Valeria Scotti's work include Coronary Interventions and Diagnostics (5 papers), Cardiac Imaging and Diagnostics (4 papers) and scientometrics and bibliometrics research (3 papers). Valeria Scotti is often cited by papers focused on Coronary Interventions and Diagnostics (5 papers), Cardiac Imaging and Diagnostics (4 papers) and scientometrics and bibliometrics research (3 papers). Valeria Scotti collaborates with scholars based in Italy, United States and Switzerland. Valeria Scotti's co-authors include Annalisa De Silvestri, Carmine Tinelli, Catherine Klersy, Chiara Rebuffi, Cristina Capittini, Rocco Trisolini, Luigi Lazzari Agli, Marco Patelli, Frieder Braunschweig and Martín Cowie and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Heart Journal and Pediatric Research.

In The Last Decade

Valeria Scotti

22 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
Valeria Scotti	153	118	108	100	59	24	482
René Thonhofer	146 1.0×	51 0.4×	81 0.8×	119 1.2×	33 0.6×	20	404
D. Van Dyke	103 0.7×	98 0.8×	112 1.0×	128 1.3×	14 0.2×	22	497
Stacey L. Amorosi	91 0.6×	210 1.8×	35 0.3×	94 0.9×	39 0.7×	28	442
Mehmet Kitapçı	80 0.5×	60 0.5×	196 1.8×	145 1.4×	61 1.0×	24	442
Alan D. Hoffman	169 1.1×	48 0.4×	38 0.4×	84 0.8×	68 1.2×	28	456
Stephen J. Pomeranz	184 1.2×	38 0.3×	59 0.5×	94 0.9×	98 1.7×	41	452
B. Fischer Hansen	279 1.8×	124 1.1×	81 0.8×	73 0.7×	63 1.1×	22	552
Barak Friedman	283 1.8×	86 0.7×	67 0.6×	183 1.8×	26 0.4×	31	473
Raman Danrad	206 1.3×	69 0.6×	144 1.3×	43 0.4×	29 0.5×	24	478
C. Bassir	232 1.5×	29 0.2×	32 0.3×	90 0.9×	63 1.1×	28	442

Countries citing papers authored by Valeria Scotti

Since Specialization

Citations

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

Fields of papers citing papers by Valeria Scotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Scotti

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