Stefano Leonardi

109 papers receiving 2.4k citations

Peers

Stefano Leonardi
Comparison fields: 5 of 109
  • Computer Networks and Communications 875
  • Artificial Intelligence 759
  • Information Systems 720
  • Statistical and Nonlinear Physics 573
  • Management Science and Operations Research 477
Replace Aris Anagnostopoulos with:
Aris Anagnostopoulos Italy
Hai Zhuge China
Luca Becchetti Italy
Robert Kleinberg United States
Rajan M. Lukose United States
Matthew Richardson United States
Sihem Amer-Yahia France
Ravi Kumar United States
Byron Dom United States
Nicole Immorlica United States
Stefano Leonardi relative to Aris Anagnostopoulos Italy Aris Anagnostopoulos's profile →
Citations per field
00.5×1.5×2.4×
Aris Anagnostopoulos · 1×
Citations per year

Countries citing papers authored by Stefano Leonardi

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Leonardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Leonardi

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Leonardi. A scholar is included among the top collaborators of Stefano Leonardi 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 Stefano Leonardi. Stefano Leonardi 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 1
2 0
3 4
4 11
5 1
6 0
7 0
8 7
9 11
10 5
11
Proceedings of the 24th International Conference on World Wide Web
152
12 3
13 13
14 8
15 2
16
Internet and network economics : 5th International Workshop, WINE 2009, Rome, Italy, December 14-18, 2009 : proceedings
2
17 15
18 25
19 2
20 16

About Stefano Leonardi

Stefano Leonardi is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Computational Theory and Mathematics, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Optimization and Search Problems (52 papers), Auction Theory and Applications (41 papers) and Complexity and Algorithms in Graphs (24 papers). The work is most often cited by research in Computer Science Applications (265 citations), Statistical and Nonlinear Physics (573 citations) and Management Science and Operations Research (477 citations). Stefano Leonardi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Luca Becchetti, Carlos Castillo, Debora Donato, Aristides Gionis, Alessandro Panconesi, Luciana S. Buriol, Aris Anagnostopoulos, Aldo Gangemi, Ricardo Baeza‐Yates and Alberto Marchetti-Spaccamela. Their work appears in journals such as ACM Computing Surveys, Journal of the ACM and Mathematical Programming.

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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