Valerio Arnaboldi

2.9k total citations · 1 hit paper
25 papers, 910 citations indexed

About

Valerio Arnaboldi is a scholar working on Statistical and Nonlinear Physics, Communication and Computer Networks and Communications. According to data from OpenAlex, Valerio Arnaboldi has authored 25 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 8 papers in Communication and 7 papers in Computer Networks and Communications. Recurrent topics in Valerio Arnaboldi's work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (11 papers) and Social Media and Politics (8 papers). Valerio Arnaboldi is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (11 papers) and Social Media and Politics (8 papers). Valerio Arnaboldi collaborates with scholars based in Italy, United States and United Kingdom. Valerio Arnaboldi's co-authors include Marco Conti, Andrea Passarella, Robin Dunbar, Franca Delmastro, Fabio Pezzoni, Andrea Guazzini, Paul W. Sternberg, Elena Pagani, Laura Ricci and Ranjana Kishore and has published in prestigious journals such as IEEE Communications Magazine, Journal of Computer-Mediated Communication and Social Networks.

In The Last Decade

Valerio Arnaboldi

24 papers receiving 871 citations

Hit Papers

The structure of online social networks mirrors those in ... 2015 2026 2018 2022 2015 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The structure of online social networks mirrors those in the offline world
    2015 262 citations Robin Dunbar, Valerio Arnaboldi et al. Social Networks profile →

Peers

Valerio Arnaboldi
Roger M. Whitaker United Kingdom
Piotr Sapieżyński United States
Arkadiusz Stopczynski Denmark
Andreas Kaltenbrunner Spain
Julian Sienkiewicz Poland
Jalal Mahmud United States
Isabel M. Kloumann United States
Giancarlo Ruffo Italy
Fabián Riquelme Chile
Catherine A. Bliss United States
Roger M. Whitaker United Kingdom
Valerio Arnaboldi
Citations per year, relative to Valerio Arnaboldi Valerio Arnaboldi (= 1×) peers Roger M. Whitaker

Countries citing papers authored by Valerio Arnaboldi

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Arnaboldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Arnaboldi

This figure shows the co-authorship network connecting the top 25 collaborators of Valerio Arnaboldi. A scholar is included among the top collaborators of Valerio Arnaboldi 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 Valerio Arnaboldi. Valerio Arnaboldi 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
1.
2.
Kishore, Ranjana, Valerio Arnaboldi, Wen J. Chen, & Paul W. Sternberg. (2024). Expanding automated gene summaries for Caenorhabditis and parasitic nematode species in WormBase. PubMed Central.
3.
Beltrame, Eduardo da Veiga, Valerio Arnaboldi, & Paul W. Sternberg. (2022). WormBase single-cell tools. Bioinformatics Advances. 2(1). vbac018–vbac018. 7 indexed citations
4.
Arnaboldi, Valerio, Jaehyoung Cho, & Paul W. Sternberg. (2021). Wormicloud: a new text summarization tool based on word clouds to explore the C. elegans literature. Database. 2021. 8 indexed citations
5.
6.
Kishore, Ranjana, Valerio Arnaboldi, Ceri E. Van Slyke, et al.. (2020). Automated generation of gene summaries at the Alliance of Genome Resources. Database. 2020. 33 indexed citations
7.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Robin Dunbar. (2017). Online Social Networks and information diffusion: The role of ego networks. Zenodo (CERN European Organization for Nuclear Research). 1. 44–55. 74 indexed citations
8.
Arnaboldi, Valerio, Andrea Passarella, Marco Conti, & Robin Dunbar. (2017). Structure of Ego-Alter Relationships of Politicians in Twitter. Journal of Computer-Mediated Communication. 22(5). 231–247. 9 indexed citations
9.
Arnaboldi, Valerio, et al.. (2016). A personalized recommender system for pervasive social networks. Pervasive and Mobile Computing. 36. 3–24. 15 indexed citations
10.
Delmastro, Franca, Valerio Arnaboldi, & Marco Conti. (2016). People-centric computing and communications in smart cities. IEEE Communications Magazine. 54(7). 122–128. 55 indexed citations
11.
Arnaboldi, Valerio, et al.. (2015). Ego network structure in online social networks and its impact on information diffusion. Computer Communications. 76. 26–41. 57 indexed citations
12.
Arnaboldi, Valerio, Andrea Passarella, Marco Conti, & Robin Dunbar. (2015). Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs. CERN Document Server (European Organization for Nuclear Research). 39 indexed citations
13.
Dunbar, Robin, Valerio Arnaboldi, Marco Conti, & Andrea Passarella. (2015). The structure of online social networks mirrors those in the offline world. Social Networks. 43. 39–47. 262 indexed citations breakdown →
14.
Arnaboldi, Valerio, et al.. (2014). Information diffusion in OSNs. 616–621. 11 indexed citations
15.
Arnaboldi, Valerio, et al.. (2013). Sensor Mobile Enablement (SME): A light-weight standard for opportunistic sensing services. CINECA IRIS Institutial research information system (University of Pisa). 236–241. 9 indexed citations
16.
Arnaboldi, Valerio, et al.. (2013). DroidOppPathFinder: A context and social-aware path recommender system based on opportunistic sensing. CINECA IRIS Institutial research information system (University of Pisa). 1–3. 5 indexed citations
17.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Fabio Pezzoni. (2013). Ego networks in Twitter: An experimental analysis. 3459–3464. 33 indexed citations
18.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Fabio Pezzoni. (2013). Ego networks in Twitter: An experimental analysis. 6. 229–234. 9 indexed citations
19.
Arnaboldi, Valerio, Andrea Guazzini, & Andrea Passarella. (2013). Egocentric online social networks: Analysis of key features and prediction of tie strength in Facebook. Computer Communications. 36(10-11). 1130–1144. 88 indexed citations
20.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Fabio Pezzoni. (2012). Analysis of Ego Network Structure in Online Social Networks. 31–40. 67 indexed citations

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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