Alessia Antelmi

465 citations
19 papers · 199 indexed · h-index 7
Topics
Complex Network Analysis Techniques (10 papers)Opinion Dynamics and Social Influence (5 papers)Advanced Graph Neural Networks (4 papers)
Partner nations
ItalyDenmarkSouth Korea

In The Last Decade

Alessia Antelmi

14 papers receiving 195 citations

Peers

Alessia Antelmi
Comparison fields: 5 of 60
  • Artificial Intelligence 78
  • Statistical and Nonlinear Physics 54
  • Information Systems 38
  • Computer Vision and Pattern Recognition 36
  • Sociology and Political Science 26
Replace Hassan Badir with:
Hassan Badir Morocco
George Valkanas Greece
Zhen Lin China
Ting Hua United States
Jiajia Huang China
Afsaneh Fatemi Iran
Nathan Self United States
Eldar Sadikov United States
Steven Van Canneyt Belgium
Alessia Antelmi relative to Hassan Badir Morocco Hassan Badir's profile →
Citations per field
00.5×
Hassan Badir · 1×
Citations per year

Countries citing papers authored by Alessia Antelmi

Since Specialization
Citations

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

Fields of papers citing papers by Alessia Antelmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessia Antelmi

This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Antelmi. A scholar is included among the top collaborators of Alessia Antelmi 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 Alessia Antelmi. Alessia Antelmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 11
4 0
5 3
6 0
7 83
8 3
9 5
10 0
11 5
12 12
13 6
14 3
15 26
16 3
17 3
18 28
19 8

About Alessia Antelmi

Alessia Antelmi is a scholar working on Statistical and Nonlinear Physics, Communication and Computer Science Applications, having authored 19 papers that have together received 199 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (5 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (54 citations), Artificial Intelligence (78 citations) and Communication (16 citations). Alessia Antelmi has collaborated with scholars based in Italy, Denmark and South Korea. Frequent co-authors include Carmine Spagnuolo, Gennaro Cordasco, Vittorio Scarano, Mirko Polato, Dingqi Yang, Delfina Malandrino, Przemysław Szufel, Karen Young, John G. Breslin and Soo Yong Lee. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Applied Sciences.

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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