L. Biancardi

23 total papers · 478 total citations
16 papers, 385 citations indexed

About

L. Biancardi is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, L. Biancardi has authored 16 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in L. Biancardi's work include Non-Invasive Vital Sign Monitoring (8 papers), Heart Rate Variability and Autonomic Control (8 papers) and Optical measurement and interference techniques (5 papers). L. Biancardi is often cited by papers focused on Non-Invasive Vital Sign Monitoring (8 papers), Heart Rate Variability and Autonomic Control (8 papers) and Optical measurement and interference techniques (5 papers). L. Biancardi collaborates with scholars based in Italy and United States. L. Biancardi's co-authors include Renza Perini, A. Veicsteinas, S. Milesi, Giuseppe Baselli, Giovanna Sansoni, Fabio Badilini, Alberto Porta, Franco Docchio, Raffaello Furlan and Federico Lombardi and has published in prestigious journals such as Carbohydrate Research, European Journal of Applied Physiology and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

L. Biancardi

12 papers receiving 365 citations

Author Peers

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

Author Last Decade Papers Cites
L. Biancardi 276 157 89 64 49 16 385
Mattia Bertschi 164 0.6× 197 1.3× 29 0.3× 41 0.6× 7 0.1× 24 347
Rob Roy 83 0.3× 44 0.3× 17 0.2× 13 0.2× 24 0.5× 25 380
Laurence Keselbrener 250 0.9× 165 1.1× 27 0.3× 9 0.1× 13 0.3× 17 358
Yoshifumi Yasuda 112 0.4× 213 1.4× 175 2.0× 14 0.2× 28 0.6× 24 393
Anat Ratnovsky 26 0.1× 129 0.8× 30 0.3× 11 0.2× 11 0.2× 23 380
Dan Wu 197 0.7× 154 1.0× 13 0.1× 16 0.3× 6 0.1× 46 429
John W. Harrell 182 0.7× 25 0.2× 64 0.7× 2 0.0× 38 0.8× 20 385
Damien Saboul 178 0.6× 142 0.9× 155 1.7× 7 0.1× 5 0.1× 14 384
Andrea Zignoli 83 0.3× 150 1.0× 140 1.6× 4 0.1× 5 0.1× 39 382
J.D.Z. Chen 168 0.6× 60 0.4× 49 0.6× 15 0.2× 21 0.4× 10 397

Countries citing papers authored by L. Biancardi

Since Specialization
Citations

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

Fields of papers citing papers by L. Biancardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Biancardi

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