Davide Bilò

751 citations
43 papers · 167 · h-index 8

Impact in

Papers in

Davide Bilò

36 papers receiving 161 citations

Peers

Davide Bilò
Comparison fields: 5 of 31
  • Computational Theory and Mathematics 74
  • Computer Graphics and Computer-Aided Design 12
  • Management Science and Operations Research 40
  • Computer Networks and Communications 68
  • Statistical and Nonlinear Physics 22
Replace Luciano Gualà with:
Luciano Gualà Italy
Euiwoong Lee United States
Tasuku Soma Japan
Tamás Király Hungary
Eric Balkanski United States
A. V. Karzanov Russia
Alexis C. Kaporis Greece
Parinya Chalermsook Germany
Ami Paz Israel
Robert Ganian Austria
Davide Bilò relative to Luciano Gualà Italy Luciano Gualà's profile →
Citations per field
00.5×
Luciano Gualà · 1×
Citations per year

Countries citing papers authored by Davide Bilò

Since Specialization
Citations

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

Fields of papers citing papers by Davide Bilò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Davide Bilò, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Bilò Line = papers co-authored together Davide Bilò links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201126
2 200816
3 201413
4 201011
5 20129
6 20169
7 20147
8 20227
9 20106
10 20196
11 20125
12 20155
13 20114
14 20144
15 20214
16 20183
17 20183
18 20223
19 20212
20 20222

About Davide Bilò

Davide Bilò is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics, having authored 43 papers that have together received 167 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (18 papers), Advanced Graph Theory Research (14 papers), Game Theory and Applications (13 papers), Optimization and Search Problems (9 papers), Game Theory and Voting Systems (8 papers), Interconnection Networks and Systems (5 papers), Auction Theory and Applications (4 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Computational Theory and Mathematics (74 citations), Computer Graphics and Computer-Aided Design (12 citations), Management Science and Operations Research (40 citations), Computer Networks and Communications (68 citations) and Statistical and Nonlinear Physics (22 citations). Davide Bilò has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Guido Proietti, Luciano Gualà, Stefano Leucci, Matúš Mihaľák, Peter Widmayer, Tobias Friedrich, Thomas Erlebach, Vittorio Bilò, Elias Vicari and Yann Disser. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Journal of Computer and System Sciences, Autonomous Agents and Multi-Agent Systems and SIAM Journal on Discrete Mathematics.

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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