Andrea Sgarro

33 papers receiving 286 citations

Peers

Andrea Sgarro
Comparison fields: 5 of 53
  • Artificial Intelligence 150
  • Electrical and Electronic Engineering 123
  • Computational Theory and Mathematics 95
  • Computer Networks and Communications 88
  • Molecular Biology 70
Replace Toshiyasu Matsushima with:
Toshiyasu Matsushima Japan
Man‐Keung Siu Hong Kong
Luděk Kučera Czechia
Vincent Vajnovszki France
V. К. Trofimov Russia
David Gillman United States
Rafail Krichevsky Russia
Elena Lodi Italy
Philip Leonard United States
Andrej Bogdanov Hong Kong
Andrea Sgarro relative to Toshiyasu Matsushima Japan Toshiyasu Matsushima's profile →
Citations per field
00.5×1.5×2.4×
Toshiyasu Matsushima · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 10
2 4
3 2
4 0
5 4
6 1
7 6
8 3
9
Hamming-like Distances for Ill-defined Strings in Linguistic Classification
0
10 23
11 3
12 2
13 2
14 3
15 2
16 1
17 56
18 13
19 42
20
Noiseless Block-Coding of Useful Information.
1

About Andrea Sgarro

Andrea Sgarro is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 37 papers that have together received 305 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (7 papers), Algorithms and Data Compression (7 papers) and Computability, Logic, AI Algorithms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (95 citations), Artificial Intelligence (150 citations) and Computer Networks and Communications (88 citations). Andrea Sgarro has collaborated with scholars based in Italy, Romania and Sweden. Frequent 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. Their work appears in journals such as IEEE Transactions on Information Theory, Philosophical Transactions of the Royal Society B Biological Sciences and Fuzzy Sets and Systems.

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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