Diego Garlaschelli
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Economics and Econometrics top 0.5%
- Complex Systems and Time Series Analysis
- Economic and Technological Innovation
Papers in
-
- Complex Network Analysis Techniques 54
- Opinion Dynamics and Social Influence 19
- Statistical Mechanics and Entropy 8
-
- Complex Systems and Time Series Analysis 31
- Economic and Technological Innovation 18
- Co-authors
- Maria I. Loffredo (9 shared papers)Tiziano Squartini (32 shared papers)Guido Caldarelli (14 shared papers)Giorgio Fagiolo (5 shared papers)Stefano Battiston (3 shared papers)L. Pietronero (2 shared papers)Giulio Cimini (7 shared papers)Fabio Saracco (6 shared papers)
- Journals
- Physical Review Research (5 papers)Physical review. E (4 papers)New Journal of Physics (4 papers)Physical Review Letters (4 papers)Nature Reviews Physics (3 papers)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Diego Garlaschelli
79 papers receiving 3.4k citations
Diego Garlaschelli's Hit Papers
Peers
Comparison fields: 5 of 159
- Statistical and Nonlinear Physics 1.8k
- Economics and Econometrics 1.4k
- Finance 338
- General Economics, Econometrics and Finance 256
- General Energy 23
Countries citing papers authored by Diego Garlaschelli
This map shows the geographic impact of Diego Garlaschelli'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 Diego Garlaschelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Garlaschelli more than expected).
Fields of papers citing papers by Diego Garlaschelli
This network shows the impact of papers produced by Diego Garlaschelli. 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 Diego Garlaschelli. The network helps show where Diego Garlaschelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Garlaschelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complexity theory and financial regulation Hit paper breakdown → | 2016 | 325 |
| 2 | 2005 | 302 | |
| 3 | 2004 | 275 | |
| 4 | 2018 | 238 | |
| 5 | 2004 | 209 | |
| 6 | 2003 | 200 | |
| 7 | 2010 | 163 | |
| 8 | 2021 | 147 | |
| 9 | 2004 | 117 | |
| 10 | 2013 | 112 | |
| 11 | 2008 | 94 | |
| 12 | 2007 | 93 | |
| 13 | 2011 | 88 | |
| 14 | 2011 | 87 | |
| 15 | 2015 | 80 | |
| 16 | 2007 | 75 | |
| 17 | 2009 | 75 | |
| 18 | 2015 | 43 | |
| 19 | 2009 | 40 | |
| 20 | 2014 | 40 |
About Diego Garlaschelli
Diego Garlaschelli is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Computational Theory and Mathematics, Molecular Biology and Sociology and Political Science, having authored 88 papers that have together received 3.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (54 papers), Complex Systems and Time Series Analysis (31 papers), Opinion Dynamics and Social Influence (19 papers), Economic and Technological Innovation (18 papers), Computational Drug Discovery Methods (10 papers), Statistical Mechanics and Entropy (8 papers), Evolutionary Game Theory and Cooperation (6 papers) and Topological and Geometric Data Analysis (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Economics and Econometrics (1.4k citations), Finance (338 citations), General Economics, Econometrics and Finance (256 citations) and General Energy (23 citations). Diego Garlaschelli has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Maria I. Loffredo, Tiziano Squartini, Guido Caldarelli, Giorgio Fagiolo, Stefano Battiston, L. Pietronero, Giulio Cimini, Fabio Saracco, Matteo Barigozzi and Andrea Gabrielli. Their work appears in journals such as Physical Review Research, Physical review. E, New Journal of Physics, Physical Review Letters and Nature Reviews Physics.
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.