Francesco Scardulla

36 total papers · 507 total citations
27 papers, 370 citations indexed

About

Francesco Scardulla is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Francesco Scardulla has authored 27 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 17 papers in Biomedical Engineering and 12 papers in Surgery. Recurrent topics in Francesco Scardulla's work include Non-Invasive Vital Sign Monitoring (10 papers), Heart Rate Variability and Autonomic Control (8 papers) and Cardiac Structural Anomalies and Repair (6 papers). Francesco Scardulla is often cited by papers focused on Non-Invasive Vital Sign Monitoring (10 papers), Heart Rate Variability and Autonomic Control (8 papers) and Cardiac Structural Anomalies and Repair (6 papers). Francesco Scardulla collaborates with scholars based in Italy, United Kingdom and Germany. Francesco Scardulla's co-authors include Salvatore Pasta, Leonardo D’Acquisto, Diego Bellavia, Gloria Cosoli, Susanna Spinsante, Lorenzo Scalise, Michele Pilato, Cesare Scardulla, Giuseppe Maria Raffa and Sijung Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biomechanics and Sensors.

In The Last Decade

Francesco Scardulla

24 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Scardulla 216 187 112 86 29 27 370
Michael Heinz 206 1.0× 84 0.4× 80 0.7× 165 1.9× 16 0.6× 29 432
Gianni Gnudi 176 0.8× 88 0.5× 85 0.8× 95 1.1× 20 0.7× 34 356
Samuli Jaakkola 266 1.2× 177 0.9× 46 0.4× 35 0.4× 38 1.3× 38 412
Chung‐Dann Kan 86 0.4× 84 0.4× 161 1.4× 87 1.0× 12 0.4× 47 386
Luca Neri 80 0.4× 99 0.5× 153 1.4× 69 0.8× 15 0.5× 16 437
P.V. Lawford 62 0.3× 100 0.5× 154 1.4× 38 0.4× 28 1.0× 19 355
Tomoki Kitawaki 233 1.1× 59 0.3× 114 1.0× 88 1.0× 6 0.2× 42 422
Blerim Luani 341 1.6× 63 0.3× 54 0.5× 115 1.3× 6 0.2× 26 409
Chi Wei Ong 119 0.6× 89 0.5× 115 1.0× 111 1.3× 8 0.3× 29 419
Torsten Schenkel 248 1.1× 135 0.7× 80 0.7× 18 0.2× 23 0.8× 23 402

Countries citing papers authored by Francesco Scardulla

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Scardulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Scardulla

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