Miquel Montero
- Molecular Biology
- Economics and Econometrics top 5%
- Statistical and Nonlinear Physics top 2%
- Finance top 5%
- Mathematical Physics top 10%
- Co-authors
- Jaume MasoliverJavier VillarroelGeorge H. WeissJosep Maria Mata PerellóLuigi PalatellaArturo Kohatsu‐HigaJosep M. PorràSalvatore Miccichè
- Topics
- Complex Systems and Time Series Analysis (23 papers)Stochastic processes and financial applications (17 papers)Financial Risk and Volatility Modeling (11 papers)
- Journals
- Physical Review APhysica A Statistical Mechanics and its ApplicationsChaos Solitons & Fractals
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Miquel Montero
42 papers receiving 656 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 267
- Economics and Econometrics 247
- Statistical and Nonlinear Physics 242
- Finance 187
- Mathematical Physics 106
Countries citing papers authored by Miquel Montero
This map shows the geographic impact of Miquel Montero'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 Miquel Montero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miquel Montero more than expected).
Fields of papers citing papers by Miquel Montero
This network shows the impact of papers produced by Miquel Montero. 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 Miquel Montero. The network helps show where Miquel Montero may publish in the future.
Co-authorship network of co-authors of Miquel Montero
This figure shows the co-authorship network connecting the top 25 collaborators of Miquel Montero. A scholar is included among the top collaborators of Miquel Montero 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 Miquel Montero. Miquel Montero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 36 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 46 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 74 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | Renewal equations for option pricing | 5 |
| 16 | 26 | |
| 17 | 9 | |
| 18 | 29 | |
| 19 | 23 | |
| 20 | The CTRW in finance: Direct and inverse problems | 4 |
About Miquel Montero
Miquel Montero is a scholar working on Finance, Mathematical Physics and Economics and Econometrics, having authored 44 papers that have together received 683 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (23 papers), Stochastic processes and financial applications (17 papers) and Financial Risk and Volatility Modeling (11 papers). The work is most often cited by research in Modeling and Simulation (103 citations), Statistical and Nonlinear Physics (242 citations) and Finance (187 citations). Miquel Montero has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Jaume Masoliver, Javier Villarroel, George H. Weiss, Josep Maria Mata Perelló, Luigi Palatella, Arturo Kohatsu‐Higa, Josep M. Porrà, Salvatore Miccichè, Fabrizio Lillo and Rosario N. Mantegna. Their work appears in journals such as Physical Review A, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.
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.