Alessandro Chessa

1.8k total citations
47 papers, 1.2k citations indexed

About

Alessandro Chessa is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Transportation. According to data from OpenAlex, Alessandro Chessa has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 16 papers in Economics and Econometrics and 8 papers in Transportation. Recurrent topics in Alessandro Chessa's work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Systems and Time Series Analysis (7 papers). Alessandro Chessa is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Systems and Time Series Analysis (7 papers). Alessandro Chessa collaborates with scholars based in Italy, United States and United Kingdom. Alessandro Chessa's co-authors include Alessandro Vespignani, Andrea De Montis, Massimo Riccaboni, Zhen Zhu, Guido Caldarelli, Marc Barthélemy, Simone Caschili, Stefano Zapperi, Fabio Pammolli and Michelangelo Puliga and has published in prestigious journals such as Science, Physical Review Letters and PLoS ONE.

In The Last Decade

Alessandro Chessa

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Chessa Italy 19 417 379 218 138 92 47 1.2k
Arnab Chatterjee India 19 1.1k 2.6× 935 2.5× 143 0.7× 271 2.0× 311 3.4× 46 1.9k
Woo‐Sung Jung South Korea 23 435 1.0× 1.4k 3.8× 288 1.3× 73 0.5× 114 1.2× 82 2.5k
Salvatore Miccichè Italy 18 386 0.9× 487 1.3× 65 0.3× 39 0.3× 59 0.6× 58 1.1k
Wen-Jie Xie China 13 338 0.8× 669 1.8× 68 0.3× 50 0.4× 38 0.4× 37 1.0k
Jiang Zhang China 16 209 0.5× 155 0.4× 137 0.6× 12 0.1× 49 0.5× 66 1.1k
Michele Tumminello Italy 19 893 2.1× 1.4k 3.6× 38 0.2× 132 1.0× 97 1.1× 60 2.2k
Alessandro Pluchino Italy 26 813 1.9× 436 1.2× 420 1.9× 109 0.8× 201 2.2× 124 2.3k
Emmanouil Tranos United Kingdom 19 156 0.4× 403 1.1× 456 2.1× 11 0.1× 194 2.1× 62 1.4k
Céline Rozenblat Switzerland 18 350 0.8× 368 1.0× 215 1.0× 8 0.1× 145 1.6× 70 1.2k
Zhi‐Qiang Jiang China 30 1.2k 3.0× 2.9k 7.6× 91 0.4× 255 1.8× 62 0.7× 78 3.5k

Countries citing papers authored by Alessandro Chessa

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Chessa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Chessa

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Chessa. A scholar is included among the top collaborators of Alessandro Chessa 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 Alessandro Chessa. Alessandro Chessa 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.
Cadeddu, Andrea, Alessandro Chessa, V. De Leo, et al.. (2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information. 15(7). 398–398. 4 indexed citations
2.
Leo, V. De, et al.. (2023). Topic detection with recursive consensus clustering and semantic enrichment. Humanities and Social Sciences Communications. 10(1). 4 indexed citations
3.
Chessa, Alessandro, et al.. (2022). Complex networks for community detection of basketball players. Annals of Operations Research. 325(1). 363–389. 9 indexed citations
4.
Puliga, Michelangelo, Andrea Flori, Giuseppe Pappalardo, Alessandro Chessa, & Fabio Pammolli. (2016). The Accounting Network: How Financial Institutions React to Systemic Crisis. PLoS ONE. 11(10). e0162855–e0162855. 10 indexed citations
5.
Borassi, Michele, Alessandro Chessa, & Guido Caldarelli. (2015). Hyperbolicity measures democracy in real-world networks. Physical Review E. 92(3). 32812–32812. 18 indexed citations
6.
Mureddu, Mario, Guido Caldarelli, Alessandro Chessa, Antonio Scala, & Alfonso Damiano. (2015). Green Power Grids: How Energy from Renewable Sources Affects Networks and Markets. PLoS ONE. 10(9). e0135312–e0135312. 24 indexed citations
7.
Zhu, Zhen, et al.. (2015). Global Value Trees. PLoS ONE. 10(5). e0126699–e0126699. 31 indexed citations
8.
Chessa, Alessandro, et al.. (2014). Cluster Analysis of Weighted Bipartite Networks: A New Copula-Based Approach. PLoS ONE. 9(10). e109507–e109507. 8 indexed citations
9.
Zhu, Zhen, et al.. (2014). The Rise of China in the International Trade Network: A Community Core Detection Approach. PLoS ONE. 9(8). e105496–e105496. 65 indexed citations
10.
Caldarelli, Guido, et al.. (2014). A Multi-Level Geographical Study of Italian Political Elections from Twitter Data. PLoS ONE. 9(5). e95809–e95809. 57 indexed citations
11.
Puliga, Michelangelo, et al.. (2014). Voting Behavior, Coalitions and Government Strength through a Complex Network Analysis. PLoS ONE. 9(12). e116046–e116046. 25 indexed citations
12.
Leo, V. De, et al.. (2013). Community core detection in transportation networks. Physical Review E. 88(4). 42810–42810. 17 indexed citations
13.
Caldarelli, Guido, Alessandro Chessa, Irene Crimaldi, & Fabio Pammolli. (2013). Weighted networks as randomly reinforced urn processes. Physical Review E. 87(2). 20106–20106. 6 indexed citations
14.
Leo, V. De, et al.. (2012). Spatial Correlations in Attribute Communities. PLoS ONE. 7(5). e37507–e37507. 10 indexed citations
15.
Montis, Andrea De, Simone Caschili, & Alessandro Chessa. (2011). Spatial Complex Network Analysis and Accessibility Indicators: the Case of Municipal Commuting in Sardinia, Italy. European journal of transport and infrastructure research. 12 indexed citations
16.
Campagna, Michele, et al.. (2005). Emergent topological and dynamical properties of a real inter-municipal commuting network - perspectives for policy-making and planning. ERSA conference papers. 1 indexed citations
17.
Podobnik, Boris, et al.. (2000). Systems with correlations in the variance: Generating power law tails in probability distributions. Europhysics Letters (EPL). 50(6). 711–717. 38 indexed citations
18.
Podobnik, Boris, Plamen Ch. Ivanov, Youngki Lee, Alessandro Chessa, & H. Eugene Stanley. (1999). Systems with Correlations in the Variance. arXiv (Cornell University). 1 indexed citations
19.
Chessa, Alessandro, et al.. (1999). Correlations in Uncertainty Analysis for Medical Decision Making. Medical Decision Making. 19(3). 276–286. 13 indexed citations
20.
Chessa, Alessandro, H. Eugene Stanley, Alessandro Vespignani, & Stefano Zapperi. (1999). Universality in sandpiles. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(1). R12–R15. 76 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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