Daniel O. Cajueiro

4.5k total citations
114 papers, 3.3k citations indexed

About

Daniel O. Cajueiro is a scholar working on Economics and Econometrics, Finance and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel O. Cajueiro has authored 114 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Economics and Econometrics, 54 papers in Finance and 25 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel O. Cajueiro's work include Complex Systems and Time Series Analysis (56 papers), Market Dynamics and Volatility (24 papers) and Financial Risk and Volatility Modeling (23 papers). Daniel O. Cajueiro is often cited by papers focused on Complex Systems and Time Series Analysis (56 papers), Market Dynamics and Volatility (24 papers) and Financial Risk and Volatility Modeling (23 papers). Daniel O. Cajueiro collaborates with scholars based in Brazil, Canada and United States. Daniel O. Cajueiro's co-authors include Benjamin Miranda Tabak, Dimas M. Fazio, Periklis Gogas, Roberto F. S. Andrade, Thiago Christiano Silva, Sergio Rubens Stancato de Souza, Bernardo A. Mello, Miguel Angel Rivera Castro, José García Vivas Miranda and S. R. Souza and has published in prestigious journals such as Expert Systems with Applications, Journal of Banking & Finance and Energy Economics.

In The Last Decade

Daniel O. Cajueiro

102 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel O. Cajueiro Brazil 29 2.5k 2.0k 683 430 426 114 3.3k
Chi Xie China 30 2.3k 0.9× 1.2k 0.6× 496 0.7× 340 0.8× 361 0.8× 90 3.1k
Gang‐Jin Wang China 33 3.2k 1.3× 1.5k 0.8× 569 0.8× 390 0.9× 361 0.8× 97 4.0k
Mauro Gallegati Italy 36 4.2k 1.7× 1.9k 1.0× 500 0.7× 557 1.3× 344 0.8× 191 5.2k
Benjamin Miranda Tabak Brazil 42 4.7k 1.9× 3.6k 1.8× 1.0k 1.5× 1.0k 2.3× 980 2.3× 252 6.3k
Ladislav Krištoufek Czechia 36 4.8k 1.9× 1.8k 0.9× 454 0.7× 535 1.2× 113 0.3× 110 5.8k
Cars Hommes Netherlands 43 6.9k 2.8× 3.4k 1.7× 624 0.9× 1.2k 2.9× 201 0.5× 155 7.9k
Woo‐Sung Jung South Korea 23 1.4k 0.6× 447 0.2× 435 0.6× 157 0.4× 129 0.3× 82 2.5k
Carl Chiarella Australia 29 2.7k 1.1× 1.9k 1.0× 259 0.4× 520 1.2× 65 0.2× 256 3.5k
Zhuanxin Ding United States 10 2.9k 1.2× 3.0k 1.5× 104 0.2× 293 0.7× 78 0.2× 17 3.5k
Silvano Cincotti Italy 26 1.2k 0.5× 485 0.2× 280 0.4× 321 0.7× 90 0.2× 115 2.2k

Countries citing papers authored by Daniel O. Cajueiro

Since Specialization
Citations

This map shows the geographic impact of Daniel O. Cajueiro'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 Daniel O. Cajueiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel O. Cajueiro more than expected).

Fields of papers citing papers by Daniel O. Cajueiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel O. Cajueiro. 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 Daniel O. Cajueiro. The network helps show where Daniel O. Cajueiro may publish in the future.

Co-authorship network of co-authors of Daniel O. Cajueiro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel O. Cajueiro. A scholar is included among the top collaborators of Daniel O. Cajueiro 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 Daniel O. Cajueiro. Daniel O. Cajueiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barboza, Flávio, et al.. (2025). Towards Fair AI: Mitigating Bias in Credit Decisions—A Systematic Literature Review. Journal of risk and financial management. 18(5). 228–228.
2.
Brown, David P., et al.. (2025). Evaluating the role of information disclosure on bidding behavior in wholesale electricity markets. Energy Economics. 146. 108505–108505. 1 indexed citations
3.
Cajueiro, Daniel O., et al.. (2025). Forecasting political voting: A high dimensional machine learning approach. Machine Learning with Applications. 22. 100739–100739.
4.
Cajueiro, Daniel O., et al.. (2024). Stock Price Reaction to Environmental, Social, and Governance News: Evidence from Brazil and Financial Materiality. Sustainability. 16(7). 2839–2839. 5 indexed citations
5.
Cajueiro, Daniel O., et al.. (2024). Comprehensive Review of Automatic Text Summarization Techniques. Computing and Informatics. 43(5). 1185–1218.
6.
Cajueiro, Daniel O., et al.. (2024). Interactions between monetary and macroprudential policies. Quantitative Finance. 24(3-4). 481–498.
7.
Cajueiro, Daniel O., et al.. (2023). Who are you? Cartel detection using unlabeled data. International Journal of Industrial Organization. 88. 102931–102931. 9 indexed citations
8.
Cajueiro, Daniel O., et al.. (2023). A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
9.
Pires, Marcelo A., et al.. (2023). Optimal rewiring in adaptive networks in multi-coupled vaccination, epidemic and opinion dynamics. Chaos Solitons & Fractals. 176. 114125–114125. 6 indexed citations
11.
Tabak, Benjamin Miranda, et al.. (2017). The effects of capital buffers on profitability: An empirical study. Economics bulletin. 37(3). 1468–1473. 6 indexed citations
12.
Cajueiro, Daniel O., et al.. (2013). Combining term structure of interest rate forecasts: The Brazilian case. EconomiA. 14(2). 102–121. 2 indexed citations
13.
Tabak, Benjamin Miranda & Daniel O. Cajueiro. (2011). Bank capital buffers, lending growth and economic cycle: empirical evidence for Brazil. 26 indexed citations
14.
Cajueiro, Daniel O.. (2011). Enforcing social behavior in an Ising model with complex neighborhoods. Physica A Statistical Mechanics and its Applications. 390(9). 1695–1703. 6 indexed citations
15.
Castro, Miguel Angel Rivera, José García Vivas Miranda, Ernesto P. Borges, Daniel O. Cajueiro, & Roberto F. S. Andrade. (2011). A top–bottom price approach to understanding financial fluctuations. Physica A Statistical Mechanics and its Applications. 391(4). 1489–1496. 3 indexed citations
16.
Cajueiro, Daniel O. & Benjamin Miranda Tabak. (2007). Is the expression H = 1 / ( 3 - q ) valid for real financial data?. RePEc: Research Papers in Economics.
17.
Borges, Ernesto P., et al.. (2007). European Physical Journal B: Condensed Matter and Complex Systems. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2 indexed citations
18.
Tabak, Benjamin Miranda & Daniel O. Cajueiro. (2006). Testing for Predictability in Equity Returns for European Transition Markets. SSRN Electronic Journal. 6 indexed citations
19.
Cajueiro, Daniel O., et al.. (2005). Periodic market closures and the long-range dependence phenomena in the Brazilian equity market. Physica A Statistical Mechanics and its Applications. 351(2-4). 512–522. 11 indexed citations
20.
Cajueiro, Daniel O. & Benjamin Miranda Tabak. (2004). The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient. Physica A Statistical Mechanics and its Applications. 336(3-4). 521–537. 321 indexed citations

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.

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