Luca Becchetti

2.9k citations
78 papers · 1.9k · h-index 22

Impact in

Papers in

Luca Becchetti

70 papers receiving 1.8k citations

Peers

Luca Becchetti
Comparison fields: 5 of 75
  • Computer Science Applications 228
  • Statistical and Nonlinear Physics 480
  • Computer Networks and Communications 748
  • Information Systems 703
  • Artificial Intelligence 628
Replace Mukkai S. Krishnamoorthy with:
Mukkai S. Krishnamoorthy United States
Adriana Iamnitchi United States
Ronny Lempel Israel
Fabrizio Silvestri Italy
V. Y. Shen United States
Iván Herman Netherlands
Barbara Carminati Italy
Silvio Lattanzi United States
Ali Dasdan United States
S. P. Rajagopalan India
Luca Becchetti relative to Mukkai S. Krishnamoorthy United States Mukkai S. Krishnamoorthy's profile →
Citations per field
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Mukkai S. Krishnamoorthy · 1×
Citations per year

Countries citing papers authored by Luca Becchetti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Becchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Becchetti, 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 Luca Becchetti Line = papers co-authored together Luca Becchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012239
2 2008212
3 2006167
4
Link-Based Characterization and Detection of Web Spam
2006108
5 200899
6 201097
7
Using rank propagation and Probabilistic counting for Link-Based Spam Detection
200678
8 201060
9 201059
10 201653
11 200447
12 200644
13
A Comparison of Sampling Techniques for Web Graph Characterization
200639
14 200934
15 200633
16 200431
17 200030
18 200129
19 200129
20 200629

About Luca Becchetti

Luca Becchetti is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optimization and Search Problems (20 papers), Complex Network Analysis Techniques (17 papers), Caching and Content Delivery (12 papers), Opinion Dynamics and Social Influence (12 papers), Opportunistic and Delay-Tolerant Networks (11 papers), Data Management and Algorithms (8 papers), Scheduling and Optimization Algorithms (7 papers) and Mobile Ad Hoc Networks (7 papers). The work is most often cited by research in Computer Science Applications (228 citations), Statistical and Nonlinear Physics (480 citations), Computer Networks and Communications (748 citations), Information Systems (703 citations) and Artificial Intelligence (628 citations). Luca Becchetti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Carlos Castillo, Stefano Leonardi, Aristides Gionis, Aris Anagnostopoulos, Paolo Boldi, Debora Donato, Ricardo Baeza‐Yates, Alberto Marchetti-Spaccamela, Massimo Santini and Sebastiano Vigna. Their work appears in journals such as Theoretical Computer Science, Distributed Computing, Knowledge and Information Systems, ACM Transactions on Algorithms and Lecture notes in computer science.

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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