Jaume Masoliver
- Statistical and Nonlinear Physics top 0.5%
- stochastic dynamics and bifurcation 37
- Advanced Thermodynamics and Statistical Mechanics 31
- Modeling and Simulation top 0.5%
- Acoustics and Ultrasonics top 5%
- Finance top 1%
- Financial Risk and Volatility Modeling 24
- Stochastic processes and financial applications 23
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 12
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- Complex Systems and Time Series Analysis 36
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- Diffusion and Search Dynamics 24
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- Nonlinear Dynamics and Pattern Formation 18
- Co-authors
- George H. WeissJosep M. PorràJosep Maria Mata PerellóKatja LindenbergMiquel MonteroBruce J. WestK. G. WangMarián Boguñá
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Jaume Masoliver
122 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 1.3k
- Modeling and Simulation 400
- Acoustics and Ultrasonics 55
- Finance 505
- Mathematical Physics 286
Countries citing papers authored by Jaume Masoliver
This map shows the geographic impact of Jaume Masoliver'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 Jaume Masoliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaume Masoliver more than expected).
Fields of papers citing papers by Jaume Masoliver
This network shows the impact of papers produced by Jaume Masoliver. 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 Jaume Masoliver. The network helps show where Jaume Masoliver may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaume Masoliver, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 14 | |
| 8 | Statistical analysis and stochastic interest rate modeling for valuing the future with implications in climate change mitigation | 2020 | 4 |
| 9 | 2019 | 36 | |
| 10 | 2019 | 69 | |
| 11 | 2017 | 63 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 14 | |
| 14 | 2016 | 12 | |
| 15 | 2012 | 25 | |
| 16 | 2009 | 39 | |
| 17 | 2008 | 33 | |
| 18 | 2007 | 26 | |
| 19 | 2005 | 29 | |
| 20 | The CTRW in finance: Direct and inverse problems | 2003 | 4 |
About Jaume Masoliver
Jaume Masoliver is a scholar working on Acoustics and Ultrasonics, Statistical and Nonlinear Physics and Finance, having authored 124 papers that have together received 2.5k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (37 papers), Complex Systems and Time Series Analysis (36 papers), Advanced Thermodynamics and Statistical Mechanics (31 papers), Financial Risk and Volatility Modeling (24 papers), Diffusion and Search Dynamics (24 papers), Stochastic processes and financial applications (23 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and Stochastic processes and statistical mechanics (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Modeling and Simulation (400 citations) and Acoustics and Ultrasonics (55 citations). Jaume Masoliver has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include George H. Weiss, Josep M. Porrà, Josep Maria Mata Perelló, Katja Lindenberg, Miquel Montero, Bruce J. West, K. G. Wang, Marián Boguñá, Joaquín Marro and Ryszard Kutner. Their work appears in journals such as Physical Review Letters, Physical Review A and Physics Letters A.
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.