Ana I. Marqués

1.1k total citations
17 papers, 814 citations indexed

About

Ana I. Marqués is a scholar working on Artificial Intelligence, Accounting and Finance. According to data from OpenAlex, Ana I. Marqués has authored 17 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Accounting and 5 papers in Finance. Recurrent topics in Ana I. Marqués's work include Financial Distress and Bankruptcy Prediction (10 papers), Imbalanced Data Classification Techniques (9 papers) and Credit Risk and Financial Regulations (5 papers). Ana I. Marqués is often cited by papers focused on Financial Distress and Bankruptcy Prediction (10 papers), Imbalanced Data Classification Techniques (9 papers) and Credit Risk and Financial Regulations (5 papers). Ana I. Marqués collaborates with scholars based in Spain and Mexico. Ana I. Marqués's co-authors include J. Salvador Sánchez, Vicente García, Gilberto Rivera, Rogelio Florencia, Humberto de Jesús Ochoa Domínguez, Rafael Martínez-Peláez, R. Alejo and R. Barandela and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Ana I. Marqués

16 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana I. Marqués Spain 12 544 507 179 123 83 17 814
Ligang Zhou Macao 15 546 1.0× 493 1.0× 179 1.0× 149 1.2× 105 1.3× 38 898
Indranil Bose India 8 460 0.8× 309 0.6× 50 0.3× 148 1.2× 132 1.6× 21 824
Vijay S. Desai United States 6 389 0.7× 438 0.9× 206 1.2× 129 1.0× 76 0.9× 9 625
Stjepan Oreški Croatia 6 337 0.6× 210 0.4× 81 0.5× 44 0.4× 56 0.7× 9 531
P. Ravi Kumar India 5 456 0.8× 735 1.4× 294 1.6× 221 1.8× 73 0.9× 6 956
Barbro Back Finland 13 327 0.6× 327 0.6× 124 0.7× 209 1.7× 95 1.1× 39 761
Franco Varetto Italy 3 415 0.8× 715 1.4× 308 1.7× 190 1.5× 63 0.8× 5 925
Efstathios Kirkos Greece 10 371 0.7× 367 0.7× 36 0.2× 142 1.2× 133 1.6× 13 685
P. Ravisankar India 4 347 0.6× 298 0.6× 42 0.2× 129 1.0× 79 1.0× 5 524

Countries citing papers authored by Ana I. Marqués

Since Specialization
Citations

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

Fields of papers citing papers by Ana I. Marqués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana I. Marqués. 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 Ana I. Marqués. The network helps show where Ana I. Marqués may publish in the future.

Co-authorship network of co-authors of Ana I. Marqués

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

All Works

17 of 17 papers shown
1.
Marqués, Ana I., Vicente García, & J. Salvador Sánchez. (2020). Ranking-based MCDM models in financial management applications: analysis and emerging challenges. Progress in Artificial Intelligence. 9(3). 171–193. 51 indexed citations
2.
García, Vicente, J. Salvador Sánchez, & Ana I. Marqués. (2019). Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems. Applied Sciences. 9(23). 5052–5052. 7 indexed citations
3.
García, Vicente, J. Salvador Sánchez, Ana I. Marqués, Rogelio Florencia, & Gilberto Rivera. (2019). Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. Expert Systems with Applications. 158. 113026–113026. 75 indexed citations
4.
García, Vicente, J. Salvador Sánchez, Ana I. Marqués, & Rafael Martínez-Peláez. (2018). A regression model based on the nearest centroid neighborhood. Pattern Analysis and Applications. 21(4). 941–951. 5 indexed citations
5.
García, Vicente, Ana I. Marqués, & J. Salvador Sánchez. (2018). Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. Information Fusion. 47. 88–101. 101 indexed citations
6.
García, Vicente, Ana I. Marqués, J. Salvador Sánchez, & Humberto de Jesús Ochoa Domínguez. (2017). Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction. Computational Economics. 53(3). 1019–1031. 23 indexed citations
7.
García, Vicente, et al.. (2016). Financial distress prediction using the hybrid associative memory with translation. Applied Soft Computing. 44. 144–152. 66 indexed citations
8.
García, Vicente, Ana I. Marqués, & J. Salvador Sánchez. (2014). An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. Journal of Intelligent Information Systems. 44(1). 159–189. 61 indexed citations
9.
Marqués, Ana I., et al.. (2013). El cambiante mundo de las organizaciones. Hacia una organización saludable. SHILAP Revista de lepidopterología. 0(10). 41–41. 3 indexed citations
10.
Marqués, Ana I., Vicente García, & J. Salvador Sánchez. (2012). On the suitability of resampling techniques for the class imbalance problem in credit scoring. Journal of the Operational Research Society. 64(7). 1060–1070. 120 indexed citations
11.
Marqués, Ana I., Vicente García, & J. Salvador Sánchez. (2012). Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Systems with Applications. 39(11). 10244–10250. 105 indexed citations
12.
Marqués, Ana I., Vicente García, & J. Salvador Sánchez. (2012). Two-level classifier ensembles for credit risk assessment. Expert Systems with Applications. 39(12). 10916–10922. 81 indexed citations
13.
Marqués, Ana I., Vicente García, & J. Salvador Sánchez. (2012). A literature review on the application of evolutionary computing to credit scoring. Journal of the Operational Research Society. 64(9). 1384–1399. 79 indexed citations
14.
García, Vicente, Ana I. Marqués, & J. Salvador Sánchez. (2012). On the use of data filtering techniques for credit risk prediction with instance-based models. Expert Systems with Applications. 39(18). 13267–13276. 21 indexed citations
15.
Sánchez, J. Salvador & Ana I. Marqués. (2005). An LVQ-based adaptive algorithm for learning from very small codebooks. Neurocomputing. 69(7-9). 922–927. 12 indexed citations
16.
Marqués, Ana I., et al.. (2003). Comparação de opiniões de raparigas e de rapazes de Viseu e do Território de Macau, quanto ao género de jogos do recreio escolar. Lecturas: Educación física y deportes. 7.
17.
Sánchez, J. Salvador, R. Barandela, R. Alejo, & Ana I. Marqués. (2002). Performance evaluation of prototype selection algorithms for nearest neighbor classification. 14. 44–50. 4 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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