Andrea Sgarro

90 total papers · 601 total citations
37 papers, 305 citations indexed

About

Andrea Sgarro is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Andrea Sgarro has authored 37 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 8 papers in Molecular Biology. Recurrent topics in Andrea Sgarro's work include Wireless Communication Security Techniques (7 papers), Computability, Logic, AI Algorithms (7 papers) and Algorithms and Data Compression (7 papers). Andrea Sgarro is often cited by papers focused on Wireless Communication Security Techniques (7 papers), Computability, Logic, AI Algorithms (7 papers) and Algorithms and Data Compression (7 papers). Andrea Sgarro collaborates with scholars based in Italy, Romania and United States. Andrea Sgarro's co-authors include G. Longo, János Körner, L. Davisson, Liviu P. Dinu, Rolf Johannesson, Luca Bortolussi, Giuseppe Longobardi, Cristina Guardiano, Flaminia L. Luccio and Alessandro Tossi and has published in prestigious journals such as IEEE Transactions on Information Theory, Philosophical Transactions of the Royal Society B Biological Sciences and Fuzzy Sets and Systems.

In The Last Decade

Andrea Sgarro

33 papers receiving 286 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Sgarro 150 123 96 88 70 37 305
Julia Abrahams 222 1.5× 51 0.4× 79 0.8× 69 0.8× 89 1.3× 27 334
F. Kanaya 141 0.9× 112 0.9× 74 0.8× 51 0.6× 46 0.7× 32 292
Vincent Vajnovszki 176 1.2× 53 0.4× 181 1.9× 81 0.9× 45 0.6× 25 349
Sudeep Kamath 133 0.9× 171 1.4× 45 0.5× 143 1.6× 19 0.3× 22 330
Thomas Holenstein 169 1.1× 69 0.6× 118 1.2× 53 0.6× 41 0.6× 23 314
Ferdinando Cicalese 211 1.4× 32 0.3× 138 1.4× 125 1.4× 65 0.9× 61 356
Gil I. Shamir 223 1.5× 123 1.0× 85 0.9× 137 1.6× 55 0.8× 53 276
Elena Grigorescu 203 1.4× 29 0.2× 168 1.8× 85 1.0× 39 0.6× 48 310
Philip Leonard 107 0.7× 93 0.8× 93 1.0× 25 0.3× 22 0.3× 47 363
Luděk Kučera 103 0.7× 29 0.2× 175 1.8× 74 0.8× 20 0.3× 35 302

Countries citing papers authored by Andrea Sgarro

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Sgarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Sgarro

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