Giacomo Livan
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- scientometrics and bibliometrics research 8
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- Opinion Dynamics and Social Influence 8
- Complex Network Analysis Techniques 7
- Statistics and Probability top 5%
- Random Matrices and Applications 7
- Mathematical Physics top 10%
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- Complex Systems and Time Series Analysis 14
- Market Dynamics and Volatility 6
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- Financial Risk and Volatility Modeling 7
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- Experimental Behavioral Economics Studies 5
- Co-authors
- Pierpaolo VivoMarcel NovaesFabio CaccioliTomaso AsteWeihua LiZ. BurdaRobert E. SmithMaciej A. Nowak
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsStatistics and Probability
- Journals
- Scientific Reports (4 papers)Royal Society Open Science (3 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomItalyAustria
In The Last Decade
Giacomo Livan
42 papers receiving 659 citations
Peers
Comparison fields: 5 of 111
- Statistics, Probability and Uncertainty 128
- Statistical and Nonlinear Physics 178
- Statistics and Probability 108
- Discrete Mathematics and Combinatorics 28
- Mathematical Physics 56
Countries citing papers authored by Giacomo Livan
This map shows the geographic impact of Giacomo Livan'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 Giacomo Livan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Livan more than expected).
Fields of papers citing papers by Giacomo Livan
This network shows the impact of papers produced by Giacomo Livan. 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 Giacomo Livan. The network helps show where Giacomo Livan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giacomo Livan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 0 | |
| 10 | 2020 | 7 | |
| 11 | Early coauthorship with top scientists predicts success in academic careers | 2019 | 18 |
| 12 | 2019 | 129 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 38 | |
| 15 | 2018 | 94 | |
| 16 | 2017 | 1 | |
| 17 | 2013 | 4 | |
| 18 | 2013 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2010 | 55 |
About Giacomo Livan
Giacomo Livan is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Finance, having authored 47 papers that have together received 679 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (14 papers), scientometrics and bibliometrics research (8 papers), Opinion Dynamics and Social Influence (8 papers), Random Matrices and Applications (7 papers), Complex Network Analysis Techniques (7 papers), Financial Risk and Volatility Modeling (7 papers), Market Dynamics and Volatility (6 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (128 citations), Statistical and Nonlinear Physics (178 citations) and Statistics and Probability (108 citations). Giacomo Livan has collaborated with scholars based in United Kingdom, Italy and Austria. Frequent co-authors include Pierpaolo Vivo, Marcel Novaes, Fabio Caccioli, Tomaso Aste, Weihua Li, Z. Burda, Robert E. Smith, Maciej A. Nowak, Ye Sun and Andrzej Jarosz. Their work appears in journals such as Scientific Reports, Royal Society Open Science, Nature Communications, Physica A Statistical Mechanics and its Applications and PLoS ONE.
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.