Leandro Maciel
Impact in
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- Stock Market Forecasting Methods
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in
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- Stock Market Forecasting Methods 28
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- Complex Systems and Time Series Analysis 13
- Market Dynamics and Volatility 11
- Co-authors
- Rosângela Ballini (39 shared papers)Fernando Gomide (29 shared papers)André Lemos (3 shared papers)Ronald R. Yager (2 shared papers)Ivette Luna (1 shared paper)Walmir M. Caminhas (1 shared paper)Daniel Leite (1 shared paper)
- Journals
- Computational Economics (2 papers)Evolving Systems (2 papers)JACC CardioOncology (1 paper)Empirical Economics (1 paper)Mathematics and Computers in Simulation (1 paper)
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Leandro Maciel
50 papers receiving 548 citations
Peers
Comparison fields: 5 of 74
- Management Science and Operations Research 231
- Finance 124
- Statistics and Probability 62
- Artificial Intelligence 237
- Economics and Econometrics 178
Countries citing papers authored by Leandro Maciel
This map shows the geographic impact of Leandro Maciel'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 Leandro Maciel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro Maciel more than expected).
Fields of papers citing papers by Leandro Maciel
This network shows the impact of papers produced by Leandro Maciel. 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 Leandro Maciel. The network helps show where Leandro Maciel may publish in the future.
Co-authors
The 7 scholars most cited alongside Leandro Maciel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2011 | 40 | |
| 3 | 2016 | 38 | |
| 4 | 2013 | 36 | |
| 5 | 2020 | 36 | |
| 6 | 2021 | 31 | |
| 7 | 2015 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2010 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2012 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2017 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2022 | 8 |
About Leandro Maciel
Leandro Maciel is a scholar working on Management Science and Operations Research, Economics and Econometrics, Finance, Artificial Intelligence and General Economics, Econometrics and Finance, having authored 55 papers that have together received 566 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (28 papers), Financial Risk and Volatility Modeling (16 papers), Fuzzy Logic and Control Systems (15 papers), Complex Systems and Time Series Analysis (13 papers), Neural Networks and Applications (12 papers), Market Dynamics and Volatility (11 papers), Monetary Policy and Economic Impact (9 papers) and Fuzzy Systems and Optimization (8 papers). The work is most often cited by research in Management Science and Operations Research (231 citations), Finance (124 citations), Statistics and Probability (62 citations), Artificial Intelligence (237 citations) and Economics and Econometrics (178 citations). Leandro Maciel has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Rosângela Ballini, Fernando Gomide, André Lemos, Ronald R. Yager, Ivette Luna, Walmir M. Caminhas and Daniel Leite. Their work appears in journals such as Computational Economics, Evolving Systems, JACC CardioOncology, Empirical Economics and Mathematics and Computers in Simulation.
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.