Claudio Tebaldi

1.7k citations
53 papers · 946 · h-index 14

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Theoretical and Computational Physics

Papers in

Claudio Tebaldi

46 papers receiving 911 citations

Peers

Claudio Tebaldi
Comparison fields: 5 of 77
  • Finance 307
  • Condensed Matter Physics 226
  • Statistical and Nonlinear Physics 223
  • Mathematical Physics 109
  • Economics and Econometrics 239
Replace Glen Swindle with:
Glen Swindle United States
Henri Schurz United States
Grigori N. Milstein Germany
R. W. R. Darling United States
Alexei Chekhlov United States
P. M. Lee United Kingdom
Arnaud Guillin France
Björn Gustafsson Sweden
G. M. Molchan Russia
Roberto Renò Italy
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Citations per field
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Citations per year

Countries citing papers authored by Claudio Tebaldi

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Tebaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudio Tebaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claudio Tebaldi Line = papers co-authored together Claudio Tebaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999131
2 1979105
3 2008101
4 2007100
5 199887
6 201358
7 200749
8 198135
9 198424
10 202221
11 200621
12 198420
13 200617
14 202015
15 198513
16 199512
17 200811
18 202110
19 19999
20 20079

About Claudio Tebaldi

Claudio Tebaldi is a scholar working on Finance, Statistical and Nonlinear Physics, Economics and Econometrics, Computational Mechanics and Condensed Matter Physics, having authored 53 papers that have together received 946 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (11 papers), Fluid Dynamics and Turbulent Flows (9 papers), Stochastic processes and financial applications (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Magnetic confinement fusion research (6 papers), Theoretical and Computational Physics (6 papers), Financial Risk and Volatility Modeling (6 papers) and Quantum chaos and dynamical systems (6 papers). The work is most often cited by research in Finance (307 citations), Condensed Matter Physics (226 citations), Statistical and Nonlinear Physics (223 citations), Mathematical Physics (109 citations) and Economics and Econometrics (239 citations). Claudio Tebaldi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Valter Franceschini, Attilio L. Stella, Mario De Menech, José Da Fonseca, Martino Grasselli, Martino Grasselli, Fulvio Ortu, Andrea Tamoni, Francesco Porcelli and D. Grasso. Their work appears in journals such as Journal of Statistical Physics, Mathematical Methods in the Applied Sciences, Plasma Physics and Controlled Fusion, Mathematical Biosciences & Engineering and Physical Review Letters.

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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