Michele Tumminello
- Economics and Econometrics top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Finance top 1%
- Management Science and Operations Research top 5%
- Molecular Biology
- Co-authors
- Rosario N. MantegnaFabrizio LilloTiziana Di MatteoTomaso AsteSalvatore MiccichèDror Y. KenettEshel Ben‐JacobGitit Gur-Gershgoren
- Topics
- Complex Systems and Time Series Analysis (20 papers)Complex Network Analysis Techniques (17 papers)Financial Risk and Volatility Modeling (10 papers)
- Partner nations
- ItalyUnited StatesFinland
In The Last Decade
Michele Tumminello
58 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Economics and Econometrics 1.4k
- Statistical and Nonlinear Physics 893
- Finance 579
- Management Science and Operations Research 194
- Molecular Biology 152
Countries citing papers authored by Michele Tumminello
This map shows the geographic impact of Michele Tumminello'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 Michele Tumminello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Tumminello more than expected).
Fields of papers citing papers by Michele Tumminello
This network shows the impact of papers produced by Michele Tumminello. 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 Michele Tumminello. The network helps show where Michele Tumminello may publish in the future.
Co-authorship network of co-authors of Michele Tumminello
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Tumminello. A scholar is included among the top collaborators of Michele Tumminello 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 Michele Tumminello. Michele Tumminello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 31 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 34 | |
| 16 | 22 | |
| 17 | 254 | |
| 18 | 1 | |
| 19 | 53 | |
| 20 | Hierarchically nested time series models from dendrograms | 2 |
About Michele Tumminello
Michele Tumminello is a scholar working on Finance, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (20 papers), Complex Network Analysis Techniques (17 papers) and Financial Risk and Volatility Modeling (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (893 citations), Finance (579 citations) and Economics and Econometrics (1.4k citations). Michele Tumminello has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Rosario N. Mantegna, Fabrizio Lillo, Tiziana Di Matteo, Tomaso Aste, Salvatore Miccichè, Dror Y. Kenett, Eshel Ben‐Jacob, Gitit Gur-Gershgoren, Asaf Madi and Jyrki Piilo. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.