Andrea Tagarelli

2.4k citations
109 papers · 1.1k indexed · h-index 21
Topics
Complex Network Analysis Techniques (38 papers)Opinion Dynamics and Social Influence (20 papers)Data Management and Algorithms (19 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Andrea Tagarelli

100 papers receiving 1.0k citations

Peers

Andrea Tagarelli
Comparison fields: 5 of 114
  • Artificial Intelligence 511
  • Information Systems 334
  • Statistical and Nonlinear Physics 332
  • Signal Processing 220
  • Computer Networks and Communications 168
Replace Zongyang Ma with:
Zongyang Ma Singapore
Parag Singla India
Şule Gündüz Öğüdücü Türkiye
Ernesto William De Luca Germany
Harry Halpin United Kingdom
Ron Bekkerman United States
Xiaohua Liu China
Hila Becker United States
Tim Weninger United States
Kazunari Sugiyama Japan
Andrea Tagarelli relative to Zongyang Ma Singapore Zongyang Ma's profile →
Citations per field
00.5×4.3×
Zongyang Ma · 1×
Citations per year

Countries citing papers authored by Andrea Tagarelli

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Tagarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Tagarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Tagarelli. A scholar is included among the top collaborators of Andrea Tagarelli 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 Tagarelli. Andrea Tagarelli 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 0
2 0
3 0
4 4
5 2
6 1
7 4
8 13
9 20
10 0
11 15
12 29
13 7
14 2
15 7
16 22
17 2
18 20
19 57
20 26

About Andrea Tagarelli

Andrea Tagarelli is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Communication, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (38 papers), Opinion Dynamics and Social Influence (20 papers) and Data Management and Algorithms (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (332 citations), Signal Processing (220 citations) and Artificial Intelligence (511 citations). Andrea Tagarelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Francesco Gullo, Roberto Interdonato, Sergio Greco, Giovanni Ponti, George Karypis, Carlotta Domeniconi, Sergio Flesca, Alessia Amelio, Elio Masciari and Giuseppe Manco. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

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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