Rodolfo C. Cavalcante
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- Auction Theory and Applications 2
- Stock Market Forecasting Methods 2
- Finance top 5%
- Financial Markets and Investment Strategies 1
- Signal Processing top 10%
- Economics and Econometrics top 5%
- Artificial Intelligence top 10%
- Multi-Agent Systems and Negotiation 3
- Data Stream Mining Techniques 3
- Machine Learning and ELM 2
- Anomaly Detection Techniques and Applications 2
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- Optimization and Search Problems 2
- Co-authors
- Adriano L. I. OliveiraJarley P. NóbregaVictor L. F. SouzaLeandro L. MinkuIg Ibert BittencourtEvandro CostaLuiz ChaimowiczThiago F. Noronha
- Journals
- Expert Systems with Applications (2 papers)University of Birmingham Research Portal (University of Birmingham) (2 papers)Anais do ... Simpósio Brasileiro de Informática na Educação (1 paper)
- Partner nations
- BrazilUnited Kingdom
In The Last Decade
Rodolfo C. Cavalcante
9 papers receiving 519 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Management Science and Operations Research 345
- Finance 105
- Signal Processing 72
- Economics and Econometrics 157
- Artificial Intelligence 165
Countries citing papers authored by Rodolfo C. Cavalcante
This map shows the geographic impact of Rodolfo C. Cavalcante'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 Rodolfo C. Cavalcante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodolfo C. Cavalcante more than expected).
Fields of papers citing papers by Rodolfo C. Cavalcante
This network shows the impact of papers produced by Rodolfo C. Cavalcante. 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 Rodolfo C. Cavalcante. The network helps show where Rodolfo C. Cavalcante may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Rodolfo C. Cavalcante, 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 | 2020 | 0 | |
| 2 | 2017 | 15 | |
| 3 | Computational Intelligence and Financial Markets: A Survey and Future Directionsbreakdown → | 2016 | 389 |
| 4 | 2016 | 7 | |
| 5 | 2016 | 33 | |
| 6 | 2015 | 31 | |
| 7 | 2014 | 10 | |
| 8 | 2013 | 6 | |
| 9 | 2013 | 5 | |
| 10 | 2011 | 39 |
About Rodolfo C. Cavalcante
Rodolfo C. Cavalcante is a scholar working on Management Science and Operations Research, Artificial Intelligence and Urban Studies, having authored 10 papers that have together received 535 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (3 papers), Data Stream Mining Techniques (3 papers), Optimization and Search Problems (2 papers), Machine Learning and ELM (2 papers), Auction Theory and Applications (2 papers), Stock Market Forecasting Methods (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Financial Markets and Investment Strategies (1 paper). The work is most often cited by research in Management Science and Operations Research (345 citations), Finance (105 citations) and Signal Processing (72 citations). Rodolfo C. Cavalcante has collaborated with scholars based in Brazil and United Kingdom. Frequent co-authors include Adriano L. I. Oliveira, Jarley P. Nóbrega, Victor L. F. Souza, Leandro L. Minku, Ig Ibert Bittencourt, Evandro Costa, Luiz Chaimowicz, Thiago F. Noronha, Marcos A. M. Vieira and Mário F. M. Campos. Their work appears in journals such as Expert Systems with Applications, University of Birmingham Research Portal (University of Birmingham) and Anais do ... Simpósio Brasileiro de Informática na Educação.
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.