Chiara Orsini

539 citations
14 papers · 314 · h-index 8

Impact in

Papers in

Chiara Orsini

13 papers receiving 300 citations

Peers

Chiara Orsini
Comparison fields: 5 of 69
  • Statistical and Nonlinear Physics 140
  • Computer Networks and Communications 131
  • Artificial Intelligence 104
  • Hardware and Architecture 16
  • Computational Theory and Mathematics 34
Replace Ana Paula Appel with:
Ana Paula Appel Brazil
Alessandro Muscoloni Germany
Jean-Cédric Chappelier Switzerland
Guixiang Ma United States
D. Stott Parker United States
Ken Wakita Japan
M.A. Jiménez-Montaño Mexico
Giacomo Baggio Italy
Erfan Nozari United States
Zhengzhong Yuan China
Chiara Orsini relative to Ana Paula Appel Brazil Ana Paula Appel's profile →
Citations per field
00.5×3.3×
Ana Paula Appel · 1×
Citations per year

Countries citing papers authored by Chiara Orsini

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Orsini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2015114
2 201662
3 201041
4 200632
5 201520
6 201112
7 201212
8 20118
9
k-clique Communities in the Internet AS-LevelTopology Graph
20116
10 19853
11 20062
12 20241
13 20241
14 20230

About Chiara Orsini

Chiara Orsini is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Molecular Biology, Cognitive Neuroscience and Artificial Intelligence, having authored 14 papers that have together received 314 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Network Traffic and Congestion Control (3 papers), Caching and Content Delivery (2 papers), Peer-to-Peer Network Technologies (2 papers), Topological and Geometric Data Analysis (2 papers), Functional Brain Connectivity Studies (2 papers), Retinal Development and Disorders (2 papers) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (140 citations), Computer Networks and Communications (131 citations), Artificial Intelligence (104 citations), Hardware and Architecture (16 citations) and Computational Theory and Mathematics (34 citations). Chiara Orsini has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Luciano Lenzini, Enrico Gregori, Dmitri Krioukov, Alistair King, Vasileios Giotsas, Alberto Dainotti, Danilo Giordano, Santo Fortunato, Amin Vahdat and Marián Boguñá. Their work appears in journals such as Computer Physics Communications, Neurological Sciences, Animals, Nature Communications and NeuroImage.

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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