Manlio De Domenico

14.7k total citations · 8 hit papers
111 papers, 5.0k citations indexed

About

Manlio De Domenico is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Manlio De Domenico has authored 111 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistical and Nonlinear Physics, 22 papers in Sociology and Political Science and 20 papers in Cognitive Neuroscience. Recurrent topics in Manlio De Domenico's work include Complex Network Analysis Techniques (50 papers), Opinion Dynamics and Social Influence (33 papers) and Neural dynamics and brain function (15 papers). Manlio De Domenico is often cited by papers focused on Complex Network Analysis Techniques (50 papers), Opinion Dynamics and Social Influence (33 papers) and Neural dynamics and brain function (15 papers). Manlio De Domenico collaborates with scholars based in Italy, Spain and United States. Manlio De Domenico's co-authors include Àlex Arenas, Sergio Gómez, Albert Solé‐Ribalta, Massimo Stella, Mason A. Porter, Vito Latora, Clara Granell, Riccardo Gallotti, Vincenzo Nicosia and Pier Luigi Sacco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Manlio De Domenico

109 papers receiving 4.8k citations

Hit Papers

The physics of spreading ... 2014 2026 2018 2022 2016 2015 2014 2020 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manlio De Domenico Italy 32 2.3k 928 655 647 615 111 5.0k
Mikko Kivelä Finland 19 2.4k 1.0× 574 0.6× 465 0.7× 367 0.6× 667 1.1× 50 4.0k
Mark Newman United Kingdom 21 2.9k 1.3× 851 0.9× 787 1.2× 379 0.6× 1.0k 1.7× 71 7.1k
James P. Gleeson Ireland 31 3.1k 1.3× 768 0.8× 435 0.7× 316 0.5× 806 1.3× 116 5.5k
Sergio Gómez Spain 30 3.7k 1.6× 615 0.7× 454 0.7× 495 0.8× 1.3k 2.1× 81 5.9k
Martin Rosvall Sweden 27 3.8k 1.6× 523 0.6× 1.2k 1.9× 457 0.7× 803 1.3× 81 7.0k
Francisco A. Rodrigues Brazil 28 2.2k 1.0× 416 0.4× 587 0.9× 660 1.0× 1.2k 2.0× 131 5.0k
Yong‐Yeol Ahn United States 33 2.6k 1.1× 1.4k 1.5× 1.1k 1.7× 432 0.7× 1.7k 2.8× 95 6.7k
Stefan Thurner Austria 41 2.3k 1.0× 866 0.9× 338 0.5× 351 0.5× 385 0.6× 197 7.0k
M. Ángeles Serrano Spain 29 2.7k 1.2× 417 0.4× 345 0.5× 492 0.8× 438 0.7× 69 4.2k
Sune Lehmann Denmark 32 2.0k 0.9× 855 0.9× 654 1.0× 200 0.3× 494 0.8× 102 4.8k

Countries citing papers authored by Manlio De Domenico

Since Specialization
Citations

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

Fields of papers citing papers by Manlio De Domenico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manlio De Domenico. 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 Manlio De Domenico. The network helps show where Manlio De Domenico may publish in the future.

Co-authorship network of co-authors of Manlio De Domenico

This figure shows the co-authorship network connecting the top 25 collaborators of Manlio De Domenico. A scholar is included among the top collaborators of Manlio De Domenico 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 Manlio De Domenico. Manlio De Domenico 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.
Zhang, Zhang, et al.. (2025). Coarse-graining network flow through statistical physics and machine learning. Nature Communications. 16(1). 1605–1605. 7 indexed citations
2.
Domenico, Manlio De. (2025). Decoding the architecture of living systems. Reports on Progress in Physics. 89(1). 14601–14601. 1 indexed citations
3.
Domenico, Manlio De, et al.. (2024). Maximum entropy network states for coalescence processes. Physica A Statistical Mechanics and its Applications. 643. 129752–129752.
4.
Artime, Oriol, et al.. (2024). Unraveling the mesoscale organization induced by network-driven processes. Proceedings of the National Academy of Sciences. 121(28). e2317608121–e2317608121. 2 indexed citations
5.
Domenico, Manlio De, et al.. (2024). Diversity of information pathways drives sparsity in real-world networks. Nature Physics. 20(3). 512–519. 28 indexed citations
6.
Artime, Oriol, Marco Grassia, Manlio De Domenico, et al.. (2024). Robustness and resilience of complex networks. Nature Reviews Physics. 6(2). 114–131. 262 indexed citations breakdown →
7.
Domenico, Manlio De, et al.. (2023). Unraveling the role of adapting risk perception during the COVID-19 pandemic in Europe. Chaos Solitons & Fractals. 177. 114264–114264. 2 indexed citations
8.
Sacco, Pier Luigi, Àlex Arenas, & Manlio De Domenico. (2023). The Resilience of the Multirelational Structure of Geopolitical Treaties is Critically Linked to Past Colonial World Order and Offshore Fiscal Havens. Complexity. 2023. 1–9. 4 indexed citations
9.
Domenico, Manlio De, et al.. (2023). Dismantling the information flow in complex interconnected systems. Physical Review Research. 5(1). 11 indexed citations
10.
d’Andrea, Valeria, Francesco Di Lauro, Adrian Zachariae, et al.. (2023). Enhancing global preparedness during an ongoing pandemic from partial and noisy data. PNAS Nexus. 2(6). pgad192–pgad192. 7 indexed citations
11.
Peel, Leto, Tiago P. Peixoto, & Manlio De Domenico. (2022). Statistical inference links data and theory in network science. Nature Communications. 13(1). 6794–6794. 55 indexed citations
12.
González‐Bailón, Sandra, Valeria d’Andrea, Deen Freelon, & Manlio De Domenico. (2022). The advantage of the right in social media news sharing. PNAS Nexus. 1(3). pgac137–pgac137. 21 indexed citations
13.
Edler, Daniel, et al.. (2021). How choosing random-walk model and network representation matters for flow-based community detection in hypergraphs. Communications Physics. 4(1). 29 indexed citations
14.
Artime, Oriol, et al.. (2021). Multiscale statistical physics of the pan-viral interactome unravels the systemic nature of SARS-CoV-2 infections. Communications Physics. 4(1). 21 indexed citations
15.
Domenico, Manlio De, et al.. (2020). Multilayer Connector Hub Mapping Reveals Key Brain Regions Supporting Expressive Language. Brain Connectivity. 11(1). 45–55. 7 indexed citations
16.
Halu, Arda, Manlio De Domenico, Àlex Arenas, & Amitabh Sharma. (2019). The multiplex network of human diseases. npj Systems Biology and Applications. 5(1). 15–15. 85 indexed citations
17.
Stella, Massimo, M. Cristoforetti, & Manlio De Domenico. (2019). Influence of augmented humans in online interactions during voting events. PLoS ONE. 14(5). e0214210–e0214210. 33 indexed citations
18.
Gallotti, Riccardo, et al.. (2019). Disentangling activity-aware human flows reveals the hidden functional organization of urban systems. arXiv (Cornell University). 1 indexed citations
19.
Domenico, Manlio De, Albert Solé‐Ribalta, Sergio Gómez, & Àlex Arenas. (2014). Navigability of interconnected networks under random failures. Proceedings of the National Academy of Sciences. 111(23). 8351–8356. 339 indexed citations breakdown →
20.
Domenico, Manlio De. (2011). Bounds on the density of sources of ultra high energy cosmic rays from the Pierre Auger Observatory data. International Cosmic Ray Conference. 2. 113. 2 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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