The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ginestra Bianconi sits on this spectrum.
This scientist: 222 publications — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ginestra Bianconi sits on this spectrum.
This scientist: 67 D-Index — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Ginestra Bianconi is affiliated with Queen Mary University of London in the United Kingdom. Their research spans multiple fields, primarily focusing on Physics and Astronomy as well as Computer Science. Within these fields, their work frequently addresses subfields such as Statistical and Nonlinear Physics, Computational Theory and Mathematics, Cognitive Neuroscience, Artificial Intelligence, and Computer Networks and Communications.
The main topics covered by Bianconi's research include Complex Network Analysis Techniques, Topological and Geometric Data Analysis, Opinion Dynamics and Social Influence, Nonlinear Dynamics and Pattern Formation, Neural Dynamics and Brain Function, Functional Brain Connectivity Studies, and Bioinformatics and Genomic Networks.
Bianconi has published extensively in several reputable scientific venues. Their frequent publication outlets include arXiv (Cornell University), Physical Review E, Journal of Physics Complexity, Journal of Physics A Mathematical and Theoretical, and Chaos Solitons & Fractals.
Several of Bianconi's recent papers highlight their involvement in studying higher-order interactions within complex systems and neural network dynamics. Notable recent publications include:
Bianconi's collaborations involve frequent co-authors such as Hanlin Sun, Timotéo Carletti, Ana P. Millán, Lucille Calmon, and Riccardo Muolo. These partnerships have contributed to advancing research in overlapping areas of network science and complex systems.
In addition to journal articles, Bianconi has contributed to book publications, including a work published by Cambridge University Press titled "Higher-Order Networks" in 2021.
S. Boccaletti;G. Bianconi;R. Criado;R. Criado;C.I. del Genio
G. Bianconi;A.-L. Barabási
Ginestra Bianconi;Albert-László Barabási
Maziar M. Nekovee;Yamir Moreno;Ginestra Bianconi;Matteo Marsili
Federico Battiston;Enrico Amico;Enrico Amico;Alain Barrat;Ginestra Bianconi;Ginestra Bianconi
Ginestra Bianconi
Kartik Anand;Ginestra Bianconi
Ginestra Bianconi
G. Campi;A. Bianconi;N. Poccia;G. Bianconi
Vincenzo Nicosia;Ginestra Bianconi;Vito Latora;Vito Latora;Marc Barthelemy
Ana P. Millán;Joaquín J. Torres;Ginestra Bianconi
Ginestra Bianconi
Ginestra Bianconi;Richard K. Darst;Jacopo Iacovacci;Santo Fortunato
Ginestra Bianconi
Giulia Menichetti;Daniel Remondini;Pietro Panzarasa;Raúl J. Mondragón
Owen T. Courtney;Ginestra Bianconi
Ginestra Bianconi;Paolo Pin;Matteo Marsili
Davide Cellai;Eduardo López;Jie Zhou;James P. Gleeson
James West;Ginestra Bianconi;Simone Severini;Andrew E. Teschendorff
Ginestra Bianconi
Alessandro Muscoloni;Josephine Maria Thomas;Sara Ciucci;Ginestra Bianconi
Ginestra Bianconi;Sergey N. Dorogovtsev
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