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 36
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- Complex Systems and Time Series Analysis 15
- Market Dynamics and Volatility 13
- Co-authors
- Rosângela Ballini (46 shared papers)Fernando Gomide (35 shared papers)André Lemos (3 shared papers)Ronald R. Yager (3 shared papers)Ivette Luna (2 shared papers)Rute Vieira (1 shared paper)Daniel Leite (1 shared paper)Walmir M. Caminhas (1 shared paper)
- Journals
- Evolving Systems (2 papers)Computational Economics (2 papers)Granular Computing (1 paper)JACC CardioOncology (1 paper)Mathematics and Computers in Simulation (1 paper)
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Leandro Maciel
60 papers receiving 624 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 266
- Finance 138
- Statistics and Probability 72
- Artificial Intelligence 266
- Economics and Econometrics 204
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 8 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 88 | |
| 2 | 2011 | 43 | |
| 3 | 2020 | 39 | |
| 4 | 2016 | 39 | |
| 5 | 2013 | 39 | |
| 6 | 2021 | 33 | |
| 7 | 2015 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2010 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2012 | 13 | |
| 15 | 2014 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2013 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2017 | 9 |
About Leandro Maciel
Leandro Maciel is a scholar working on Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, Finance and General Economics, Econometrics and Finance, having authored 64 papers that have together received 640 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (36 papers), Financial Risk and Volatility Modeling (17 papers), Fuzzy Logic and Control Systems (16 papers), Complex Systems and Time Series Analysis (15 papers), Neural Networks and Applications (14 papers), Market Dynamics and Volatility (13 papers), Fuzzy Systems and Optimization (10 papers) and Monetary Policy and Economic Impact (10 papers). The work is most often cited by research in Management Science and Operations Research (266 citations), Finance (138 citations), Statistics and Probability (72 citations), Artificial Intelligence (266 citations) and Economics and Econometrics (204 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, Rute Vieira, Daniel Leite and Walmir M. Caminhas. Their work appears in journals such as Evolving Systems, Computational Economics, Granular Computing, JACC CardioOncology 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.