Iván Pastor Sanz

489 total citations
23 papers, 308 citations indexed

About

Iván Pastor Sanz is a scholar working on Accounting, Finance and Management Science and Operations Research. According to data from OpenAlex, Iván Pastor Sanz has authored 23 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Accounting, 7 papers in Finance and 6 papers in Management Science and Operations Research. Recurrent topics in Iván Pastor Sanz's work include Banking stability, regulation, efficiency (7 papers), Financial Distress and Bankruptcy Prediction (7 papers) and Credit Risk and Financial Regulations (5 papers). Iván Pastor Sanz is often cited by papers focused on Banking stability, regulation, efficiency (7 papers), Financial Distress and Bankruptcy Prediction (7 papers) and Credit Risk and Financial Regulations (5 papers). Iván Pastor Sanz collaborates with scholars based in Spain, United States and Russia. Iván Pastor Sanz's co-authors include Félix J. López‐Iturriaga, James W. Kolari, C. Adriana Mendoza‐Rodríguez, Seifedine Kadry, Arturo Ribagorda, Esther Palomar, Guillermo Suárez‐Tangil, C. B. Sivaparthipan, Wei Wu and Luis de‐la‐Fuente‐Valentín and has published in prestigious journals such as Expert Systems with Applications, Information Fusion and Social Indicators Research.

In The Last Decade

Iván Pastor Sanz

20 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iván Pastor Sanz Spain	8	141	86	85	49	47	23	308
Jia Zhai China	12	61 0.4×	80 0.9×	126 1.5×	88 1.8×	93 2.0×	35	358
Vladimír Gazda Slovakia	8	78 0.6×	27 0.3×	55 0.6×	96 2.0×	24 0.5×	28	283
Qiujun Lan China	9	44 0.3×	49 0.6×	93 1.1×	50 1.0×	44 0.9×	37	312
Michiel van Wezel Netherlands	9	94 0.7×	40 0.5×	116 1.4×	31 0.6×	46 1.0×	21	287
Terry Harris United Kingdom	7	253 1.8×	101 1.2×	164 1.9×	41 0.8×	24 0.5×	16	382
David Leinweber United States	12	51 0.4×	158 1.8×	60 0.7×	127 2.6×	92 2.0×	27	364
Arash Bahrammirzaee France	3	80 0.6×	67 0.8×	140 1.6×	89 1.8×	167 3.6×	6	394
Stella Cho China	5	78 0.6×	34 0.4×	44 0.5×	30 0.6×	64 1.4×	6	270
Sebastian Klaudiusz Tomczak Poland	7	223 1.6×	72 0.8×	177 2.1×	43 0.9×	39 0.8×	17	343

Countries citing papers authored by Iván Pastor Sanz

Since Specialization

Citations

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

Fields of papers citing papers by Iván Pastor Sanz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván Pastor Sanz. 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 Iván Pastor Sanz. The network helps show where Iván Pastor Sanz may publish in the future.

Co-authorship network of co-authors of Iván Pastor Sanz

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

All Works

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20 of 20 papers shown

Sanz, Iván Pastor, et al.. (2024). A neural network approach for predicting corruption in public procurement. European J of International Management. 22(2). 175–197. 1 indexed citations

Jaber, Mustafa Musa, et al.. (2023). Future smart grids creation and dimensionality reduction with signal handling on smart grid using targeted projection. Sustainable Computing Informatics and Systems. 39. 100897–100897. 1 indexed citations

Kolari, James W. & Iván Pastor Sanz. (2022). Forecasting Bank Capital Ratios Using the Prophet Model by Facebook. 20(3). 40–64. 1 indexed citations

López‐Iturriaga, Félix J., et al.. (2022). A neural network approach for predicting corruption in public procurement. European J of International Management. 1(1). 1 indexed citations

Kolari, James W. & Iván Pastor Sanz. (2022). Forecasting Bank Capital Ratios Using the Prophet Model by Facebook. SSRN Electronic Journal. 1 indexed citations

Vivekananda, G. N., et al.. (2022). Effective two-tier tokenization for intelligent transportation supply chain systems using hybrid optimized query expansion. Multimedia Tools and Applications. 84(29). 35217–35245.

Sanz, Iván Pastor, et al.. (2021). Technical due diligence as a methodology for assessing risks in start-up ecosystems: An advanced approach. Information Processing & Management. 58(5). 102617–102617. 1 indexed citations

Wu, Wei, C. B. Sivaparthipan, & Iván Pastor Sanz. (2021). Application of Automobile Modelling Optimization Design Based on Virtual Reality Technology. Journal of Interconnection Networks. 22(Supp02). 5 indexed citations

Sanz, Iván Pastor, et al.. (2021). Mapping the (anti-)corruption field: key topics and changing trends, 1968–2020. Journal of Computational Social Science. 4(2). 851–881. 7 indexed citations

10.

Sanz, Iván Pastor. (2020). Using the European Commission country recommendations to predict sovereign ratings: A topic modeling approach. 5. 100026–100026. 2 indexed citations

11.

Kadry, Seifedine, et al.. (2020). Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems. Environmental Impact Assessment Review. 86. 106493–106493. 18 indexed citations

12.

Kolari, James W., Félix J. López‐Iturriaga, & Iván Pastor Sanz. (2019). Measuring systemic risk in the U.S. Banking system. Economic Modelling. 91. 646–658. 6 indexed citations

13.

Kolari, James W., Félix J. López‐Iturriaga, & Iván Pastor Sanz. (2018). Predicting European bank stress tests: Survival of the fittest. Global Finance Journal. 39. 44–57. 16 indexed citations

14.

Kolari, James W., Félix J. López‐Iturriaga, & Iván Pastor Sanz. (2018). Measuring Systemic Risk in the U.S. Banking System. SSRN Electronic Journal. 1 indexed citations

15.

López‐Iturriaga, Félix J. & Iván Pastor Sanz. (2017). Predicting Public Corruption with Neural Networks: An Analysis of Spanish Provinces. Social Indicators Research. 140(3). 975–998. 32 indexed citations

16.

Kolari, James W. & Iván Pastor Sanz. (2016). Systemic risk measurement in banking using self-organizing maps. Journal of Banking Regulation. 18(4). 338–358. 10 indexed citations

17.

López‐Iturriaga, Félix J. & Iván Pastor Sanz. (2014). Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks. Expert Systems with Applications. 42(6). 2857–2869. 155 indexed citations

18.

Kolari, James W. & Iván Pastor Sanz. (2014). Systemic Risk Measurement in Banking Using Self-Organizing Maps. SSRN Electronic Journal. 3 indexed citations

19.

Suárez‐Tangil, Guillermo, Esther Palomar, Arturo Ribagorda, & Iván Pastor Sanz. (2013). Providing SIEM systems with self-adaptation. Information Fusion. 21. 145–158. 14 indexed citations

20.

Vergara, Jorge E. López de, et al.. (2010). Sharing information about security alerts using semantic web technologies. 4. 270–273. 1 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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