Manlio De Domenico

Statistical and Nonlinear Physics · 2009–2024

A researcher in the Science corpus: 18 papers; trusts 52 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 250 citations into it; #3,919 of 10,127 by trust here, #1,314 by citations
• Sociology and Political Science — 55 citations into it; #14,667 of 22,756 by trust here, #9,840 by citations
• Molecular Biology — 44 citations into it; #15,580 of 17,773 by trust here, #14,509 by citations
• Artificial Intelligence — 38 citations into it
• Computer Networks and Communications — 37 citations into it; #9,169 of 9,886 by trust here, #6,498 by citations
• Geometry and Topology — 34 citations into it
• Experimental and Cognitive Psychology — 31 citations into it
• Cognitive Neuroscience — 28 citations into it

Whom Manlio De Domenico trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark Newman
2. Alex Arenas
3. Albert-László Barabási
4. M. A. Porter
5. Réka Albert
6. Samuel L. Braunstein
7. Sergio Gómez
8. Duncan J. Watts
9. The Cms Collaboration
10. Roger Guimerà

Who trusts Manlio De Domenico overall

1. M. A. Porter
2. Mikko Kivelä
3. Naoki Masuda
4. Alex Arenas
5. David M. Beskow
6. S. Pilosof
7. Marc Barthelemy
8. Renaud Lambiotte
9. Jiezhong Qiu
10. J. P. Gleeson

Papers from Manlio De Domenico's perspective

Ordered by how strongly the researchers Manlio De Domenico trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical mechanics of complex networks
2. The Structure and Function of Complex Networks
3. Collective dynamics of ‘small-world’ networks
4. Social Network Analysis: Methods and Applications
5. A simple model of global cascades on random networks (Proceedings of the National Academy of Sciences of the United States of America)
6. Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
7. Community detection in graphs
8. Emergence of Scaling in Random Networks
9. Epidemic spreading in scale-free networks. (Physical Review Letters)
10. Error and attack tolerance of complex networks

Their papers

• Bots increase exposure to negative and inflammatory content in online social systems (2018) — 445 citations
• Multilayer Analysis and Visualization of Networks (2014) — 403 citations
• Mathematical Formulation of Multilayer Networks (2013) — 1,066 citations
• Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics (2020) — 548 citations
• Structural reducibility of multilayer networks (2014) — 628 citations
• The Anatomy of a Scientific Rumor (2013) — 352 citations
• Robustness and resilience of complex networks (2024) — 569 citations
• Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation (2020) — 476 citations
• The physics of spreading processes in multilayer networks (2016)
• Muons in Air Showers at the Pierre Auger Observatory (2016) — 165 citations
• Author Correction: The physics of spreading processes in multilayer networks (2016) — 465 citations
• The Pierre Auger Cosmic Ray Observatory (2015) — 747 citations
• Depth of maximum of air-shower profiles at the Pierre Auger Observatory. II. Composition implications (2014) — 181 citations
• Navigability of interconnected networks under random failures (2013) — 427 citations
• Ranking in interconnected multilayer networks reveals versatile nodes (2013) — 408 citations
• Trigger and aperture of the surface detector array of the pierre auger observatory (2010) — 203 citations
• Update on the correlation of the highest energy cosmic rays with nearby extragalactic matter (2010) — 346 citations
• Upper limit on the cosmic-ray photon fraction at EeV energies from the Pierre Auger Observatory (2009) — 144 citations