Luca Dall’Asta

3.7k total citations
64 papers, 2.0k citations indexed

About

Luca Dall’Asta is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Sociology and Political Science. According to data from OpenAlex, Luca Dall’Asta has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistical and Nonlinear Physics, 12 papers in Condensed Matter Physics and 11 papers in Sociology and Political Science. Recurrent topics in Luca Dall’Asta's work include Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (34 papers) and Theoretical and Computational Physics (12 papers). Luca Dall’Asta is often cited by papers focused on Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (34 papers) and Theoretical and Computational Physics (12 papers). Luca Dall’Asta collaborates with scholars based in Italy, France and United States. Luca Dall’Asta's co-authors include Alain Barrat, Alessandro Vespignani, Alfredo Braunstein, Andrea Baronchelli, Vittorio Loreto, J. Ignacio Alvarez-Hamelin, Ginestra Bianconi, Riccardo Zecchina, Matteo Marsili and Giulia Menichetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Luca Dall’Asta

62 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Dall’Asta Italy 22 1.4k 434 362 271 212 64 2.0k
Tiago P. Peixoto Germany 20 1.2k 0.9× 244 0.6× 200 0.6× 441 1.6× 390 1.8× 52 2.1k
Márton Karsai Hungary 22 1.4k 1.0× 295 0.7× 408 1.1× 169 0.6× 125 0.6× 76 2.1k
Janusz A. Hołyst Poland 29 1.9k 1.4× 537 1.2× 527 1.5× 205 0.8× 132 0.6× 152 3.2k
Gonzalo Travieso Brazil 9 1.2k 0.9× 314 0.7× 170 0.5× 404 1.5× 350 1.7× 27 2.3k
Manuel Gomez-Rodriguez Germany 23 1.3k 0.9× 274 0.6× 459 1.3× 878 3.2× 176 0.8× 70 2.9k
Raissa M. D’Souza United States 28 1.7k 1.2× 826 1.9× 267 0.7× 124 0.5× 392 1.8× 86 3.3k
Vincenzo Nicosia United Kingdom 25 1.7k 1.3× 732 1.7× 321 0.9× 327 1.2× 433 2.0× 67 3.4k
Farzin Maghoul United States 9 1.1k 0.8× 474 1.1× 151 0.4× 423 1.6× 143 0.7× 11 2.0k
Michael Molloy Canada 22 1.5k 1.1× 686 1.6× 148 0.4× 354 1.3× 233 1.1× 77 3.3k
Andrea Capocci Italy 11 856 0.6× 132 0.3× 142 0.4× 132 0.5× 194 0.9× 17 1.2k

Countries citing papers authored by Luca Dall’Asta

Since Specialization
Citations

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

Fields of papers citing papers by Luca Dall’Asta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Dall’Asta. 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 Luca Dall’Asta. The network helps show where Luca Dall’Asta may publish in the future.

Co-authorship network of co-authors of Luca Dall’Asta

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Dall’Asta. A scholar is included among the top collaborators of Luca Dall’Asta 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 Luca Dall’Asta. Luca Dall’Asta 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.
Braunstein, Alfredo, et al.. (2024). Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstruction. PNAS Nexus. 3(9). pgae377–pgae377. 2 indexed citations
2.
Piras, Andrea, et al.. (2023). Sorting of multiple molecular species on cell membranes. Physical review. E. 108(2). 24401–24401. 1 indexed citations
3.
Braunstein, Alfredo, et al.. (2023). Inference in conditioned dynamics through causality restoration. Scientific Reports. 13(1). 7350–7350. 3 indexed citations
4.
Braunstein, Alfredo, et al.. (2022). A Bayesian generative neural network framework for epidemic inference problems. Scientific Reports. 12(1). 19673–19673. 9 indexed citations
5.
Zamparo, Marco, Donatella Valdembri, Guido Serini, et al.. (2021). Optimality in Self-Organized Molecular Sorting. Physical Review Letters. 126(8). 88101–88101. 7 indexed citations
6.
Dall’Asta, Luca. (2021). Coordination problems on networks revisited: statics and dynamics. Journal of Statistical Mechanics Theory and Experiment. 2021(11). 113404–113404. 3 indexed citations
7.
Braunstein, Alfredo, et al.. (2021). A density consistency approach to the inverse Ising problem. Journal of Statistical Mechanics Theory and Experiment. 2021(3). 33416–33416. 2 indexed citations
8.
Beghé, Deborah, Luca Dall’Asta, Augusto Alberto Pastorelli, et al.. (2017). Sarcoidosis in an Italian province. Prevalence and environmental risk factors. PLoS ONE. 12(5). e0176859–e0176859. 29 indexed citations
9.
Altarelli, Fabrizio, Alfredo Braunstein, & Luca Dall’Asta. (2015). Statics and Dynamics of Selfish Interactions in Distributed Service Systems. PLoS ONE. 10(7). e0119286–e0119286. 4 indexed citations
10.
Gambassi, Andrea, et al.. (2015). Fixation properties of subdivided populations with balancing selection. Physical Review E. 91(3). 32130–32130. 2 indexed citations
11.
Altarelli, Fabrizio, et al.. (2014). Bayesian Inference of Epidemics on Networks via Belief Propagation. Physical Review Letters. 112(11). 118701–118701. 132 indexed citations
12.
Caccioli, Fabio, Luca Dall’Asta, Tobias Galla, & Tim Rogers. (2013). Voter models with conserved dynamics. Physical Review E. 87(5). 52114–52114. 6 indexed citations
13.
Alvarez-Hamelin, J. Ignacio, et al.. (2008). K-core decomposition of Internet graphs: hierarchies, self-similarity and measurement biases. Networks and Heterogeneous Media. 3(2). 371–393. 149 indexed citations
14.
Baronchelli, Andrea, Luca Dall’Asta, Alain Barrat, & Vittorio Loreto. (2007). Nonequilibrium phase transition in negotiation dynamics. Physical Review E. 76(5). 51102–51102. 55 indexed citations
15.
Baronchelli, Andrea, Luca Dall’Asta, Alain Barrat, & Vittorio Loreto. (2006). Topology-induced coarsening in language games. Physical Review E. 73(1). 15102–15102. 83 indexed citations
16.
Dall’Asta, Luca, J. Ignacio Alvarez-Hamelin, Alain Barrat, Alexei Vázquez, & Alessandro Vespignani. (2006). Exploring networks with traceroute-like probes: Theory and simulations. Theoretical Computer Science. 355(1). 6–24. 61 indexed citations
17.
Barrat, Alain, J. Ignacio Alvarez-Hamelin, Luca Dall’Asta, Alexei Vázquez, & Alessandro Vespignani. (2006). Sampling of Networks with Traceroute-Like Probes. 3(1-3). 83–96.
18.
Barrat, Alain, Luca Dall’Asta, J. Ignacio Alvarez-Hamelin, Alexei Vázquez, & Alessandro Vespignani. (2005). Traceroute-like exploration of unknown networks: a statistical analysis. Bulletin of the American Physical Society. 1 indexed citations
19.
Alvarez-Hamelin, J. Ignacio, Luca Dall’Asta, Alain Barrat, & Alessandro Vespignani. (2005). k-core decomposition: a tool for the analysis of large scale Internet graphs. arXiv (Cornell University). 18 indexed citations
20.
Alvarez-Hamelin, J. Ignacio, Luca Dall’Asta, Alain Barrat, & Alessandro Vespignani. (2005). Large scale networks fingerprinting and visualization using the k-core decomposition. Neural Information Processing Systems. 18. 41–50. 182 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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