Cristián Bravo

1.9k total citations
36 papers, 1.2k citations indexed

About

Cristián Bravo is a scholar working on Artificial Intelligence, Accounting and Management Information Systems. According to data from OpenAlex, Cristián Bravo has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Accounting and 9 papers in Management Information Systems. Recurrent topics in Cristián Bravo's work include Financial Distress and Bankruptcy Prediction (15 papers), Imbalanced Data Classification Techniques (13 papers) and FinTech, Crowdfunding, Digital Finance (7 papers). Cristián Bravo is often cited by papers focused on Financial Distress and Bankruptcy Prediction (15 papers), Imbalanced Data Classification Techniques (13 papers) and FinTech, Crowdfunding, Digital Finance (7 papers). Cristián Bravo collaborates with scholars based in Chile, United Kingdom and Canada. Cristián Bravo's co-authors include Bart Baesens, Sebastián Maldonado, María Óskarsdóttir, Richard W. Weber, Juan Pérez, Matthew M. Stevenson, Jan Vanthienen, Carlos Sarraute, Thomas Verbraken and Véronique Van Vlasselaer and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Cristián Bravo

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristián Bravo Chile 15 635 562 210 191 177 36 1.2k
Hsin‐Vonn Seow Malaysia 13 512 0.8× 559 1.0× 251 1.2× 116 0.6× 93 0.5× 27 1.1k
Soushan Wu Taiwan 13 450 0.7× 670 1.2× 348 1.7× 221 1.2× 105 0.6× 37 1.5k
María Óskarsdóttir Iceland 14 274 0.4× 215 0.4× 98 0.5× 112 0.6× 95 0.5× 48 865
Barbro Back Finland 13 327 0.5× 327 0.6× 124 0.6× 93 0.5× 95 0.5× 39 761
Feng Shen China 13 470 0.7× 426 0.8× 163 0.8× 87 0.5× 89 0.5× 27 1.2k
David Martens Belgium 13 466 0.7× 170 0.3× 48 0.2× 145 0.8× 295 1.7× 78 1.1k
C. Zopounidis Greece 20 530 0.8× 762 1.4× 370 1.8× 76 0.4× 181 1.0× 59 1.7k
Seppe vanden Broucke Belgium 15 332 0.5× 114 0.2× 52 0.2× 196 1.0× 194 1.1× 59 824
John Pointon United Kingdom 15 345 0.5× 594 1.1× 272 1.3× 54 0.3× 80 0.5× 40 991
Pervaiz Alam United States 18 234 0.4× 701 1.2× 197 0.9× 120 0.6× 63 0.4× 58 1.0k

Countries citing papers authored by Cristián Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Cristián Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristián Bravo. 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 Cristián Bravo. The network helps show where Cristián Bravo may publish in the future.

Co-authorship network of co-authors of Cristián Bravo

This figure shows the co-authorship network connecting the top 25 collaborators of Cristián Bravo. A scholar is included among the top collaborators of Cristián Bravo 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 Cristián Bravo. Cristián Bravo 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.
Chandra, Rohitash, et al.. (2025). Multi-modal deep learning for credit rating prediction using text and numerical data streams. Applied Soft Computing. 171. 112771–112771. 1 indexed citations
2.
Óskarsdóttir, María, et al.. (2024). Attention-based dynamic multilayer graph neural networks for loan default prediction. European Journal of Operational Research. 321(2). 586–599. 9 indexed citations
3.
Bravo, Cristián, et al.. (2024). Optimizing credit limit adjustments under adversarial goals using reinforcement learning. European Journal of Operational Research. 315(2). 802–817. 3 indexed citations
4.
López-Ospina, Héctor, et al.. (2024). A Fuzzy Entropy Approach for Portfolio Selection. Mathematics. 12(13). 1921–1921. 1 indexed citations
5.
Óskarsdóttir, María, et al.. (2024). INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks. IEEE Access. 12. 115026–115041. 1 indexed citations
6.
Bravo, Cristián, et al.. (2023). On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance. Expert Systems with Applications. 218. 119599–119599. 8 indexed citations
7.
Martı́nez, Vı́ctor, Phillip Dettleff, Nicolás Galarce, et al.. (2022). Estimates of Effective Population Size in Commercial and Hatchery Strains of Coho Salmon (Oncorhynchus kisutch (Walbaum, 1792)). Animals. 12(5). 647–647. 9 indexed citations
8.
Bravo, Cristián, et al.. (2021). On the combination of graph data for assessing thin-file borrowers' creditworthiness. arXiv (Cornell University). 12 indexed citations
9.
Stevenson, Matthew M. & Cristián Bravo. (2019). Advanced turbidity prediction for operational water supply planning. Decision Support Systems. 119. 72–84. 41 indexed citations
10.
Óskarsdóttir, María, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, & Bart Baesens. (2018). The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Applied Soft Computing. 74. 26–39. 133 indexed citations
11.
Maldonado, Sebastián, Juan Pérez, & Cristián Bravo. (2017). Cost-based feature selection for Support Vector Machines: An application in credit scoring. European Journal of Operational Research. 261(2). 656–665. 116 indexed citations
12.
Verbeke, Wouter, Bart Baesens, & Cristián Bravo. (2017). Profit driven business analytics: a practitioner's guide to transforming big data into added value. ePrints Soton (University of Southampton). 7 indexed citations
13.
Óskarsdóttir, María, Cristián Bravo, Wouter Verbeke, et al.. (2017). Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. Expert Systems with Applications. 85. 204–220. 71 indexed citations
14.
Óskarsdóttir, María, Cristián Bravo, Wouter Verbeke, et al.. (2016). A comparative study of social network classifiers for predicting churn in the telecommunication industry. arXiv (Cornell University). 1151–1158. 12 indexed citations
15.
Bravo, Cristián & Sebastián Maldonado. (2015). Fieller Stability Measure: a novel model-dependent backtesting approach. Journal of the Operational Research Society. 66(11). 1895–1905. 7 indexed citations
16.
Bravo, Cristián, et al.. (2015). How much effort should be spent to detect fraudulent applications when engaged in classifier-based lending?. Intelligent Data Analysis. 19(s1). S87–S101. 2 indexed citations
17.
Bravo, Cristián, et al.. (2011). Efecto de las cargas articulares sobre el flujo y pH salival. Revista clínica de periodoncia implantología y rehabilitación oral. 4(1). 13–16.
18.
Brown, Donald E., Fazel Famili, Gerhard Paaß, et al.. (2011). Future trends in business analytics and optimization. Intelligent Data Analysis. 15(6). 1001–1017. 6 indexed citations
19.
Bravo, Cristián, et al.. (2010). Probability estimation for multiclass problems combining SVMs and neural networks. ePrints Soton (University of Southampton).
20.
Bravo, Cristián, Sebastián Maldonado, & Richard W. Weber. (2009). Seguimiento en modelos de regresión logística. SHILAP Revista de lepidopterología.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hsin‐Vonn Seow Breakdown of academic impact, for papers by Soushan Wu Breakdown of academic impact, for papers by María Óskarsdóttir Breakdown of academic impact, for papers by Barbro Back Breakdown of academic impact, for papers by Feng Shen Breakdown of academic impact, for papers by David Martens Breakdown of academic impact, for papers by C. Zopounidis Breakdown of academic impact, for papers by Seppe vanden Broucke Breakdown of academic impact, for papers by John Pointon Breakdown of academic impact, for papers by Pervaiz Alam
Rankless by CCL
2026