Wilfredo Palma
- Finance top 2%
- Financial Risk and Volatility Modeling 21
- Stochastic processes and financial applications 4
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis 18
- Market Dynamics and Volatility 6
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models 4
- Statistical Methods and Inference 4
- Modeling and Simulation top 10%
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- Statistical and numerical algorithms 4
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- Neural Networks and Applications 4
- Co-authors
- Ngai Hang ChanJavier E. Contreras‐ReyesHéctor JorqueraValdério Anselmo ReisenAlexandre RodriguesJosé Luís TapiaPascal BondonS. Eyheramendy
- Journals
- Monthly Notices of the Royal Astronomical Society (3 papers)Atmospheric Environment (1 paper)Environment International (1 paper)
- Partner nations
- ChileUnited StatesHong Kong
In The Last Decade
Wilfredo Palma
32 papers receiving 733 citations
Peers
Comparison fields: 5 of 84
- Finance 432
- Economics and Econometrics 413
- Statistics and Probability 98
- General Economics, Econometrics and Finance 72
- Modeling and Simulation 30
Countries citing papers authored by Wilfredo Palma
This map shows the geographic impact of Wilfredo Palma'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 Wilfredo Palma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfredo Palma more than expected).
Fields of papers citing papers by Wilfredo Palma
This network shows the impact of papers produced by Wilfredo Palma. 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 Wilfredo Palma. The network helps show where Wilfredo Palma may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Wilfredo Palma, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 0 | |
| 4 | 2019 | 6 | |
| 5 | 2018 | 1 | |
| 6 | Time series analysis | 2016 | 10 |
| 7 | 2016 | 18 | |
| 8 | 2013 | 40 | |
| 9 | Long-Memory Time Series: Theory and Methods | 2007 | 186 |
| 10 | 2006 | 10 | |
| 11 | 2006 | 196 | |
| 12 | 2005 | 9 | |
| 13 | 2004 | 3 | |
| 14 | 2002 | 4 | |
| 15 | 2001 | 14 | |
| 16 | 2000 | 39 | |
| 17 | 1999 | 8 | |
| 18 | 1998 | 84 | |
| 19 | 1997 | 15 | |
| 20 | 1996 | 7 |
About Wilfredo Palma
Wilfredo Palma is a scholar working on Finance, Statistics and Probability and Economics and Econometrics, having authored 36 papers that have together received 772 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (21 papers), Complex Systems and Time Series Analysis (18 papers), Market Dynamics and Volatility (6 papers), Statistical and numerical algorithms (4 papers), Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (4 papers), Stochastic processes and financial applications (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Finance (432 citations), Economics and Econometrics (413 citations) and Statistics and Probability (98 citations). Wilfredo Palma has collaborated with scholars based in Chile, United States and Hong Kong. Frequent co-authors include Ngai Hang Chan, Javier E. Contreras‐Reyes, Héctor Jorquera, Valdério Anselmo Reisen, Alexandre Rodrigues, José Luís Tapia, Pascal Bondon, S. Eyheramendy, Gopal K. Basak and Josu Arteche. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Atmospheric Environment and Environment International.
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.