Sergio Mart́ınez

807 total citations
23 papers, 458 citations indexed

About

Sergio Mart́ınez is a scholar working on Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Sergio Mart́ınez has authored 23 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 5 papers in Management Science and Operations Research. Recurrent topics in Sergio Mart́ınez's work include Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (10 papers) and Privacy, Security, and Data Protection (6 papers). Sergio Mart́ınez is often cited by papers focused on Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (10 papers) and Privacy, Security, and Data Protection (6 papers). Sergio Mart́ınez collaborates with scholars based in Spain and United States. Sergio Mart́ınez's co-authors include David Sánchez, Josep Domingo‐Ferrer, Jordi Soria-Comas, Aı̈da Valls, Montserrat Batet, Alberto Blanco-Justicia, Oriol Farràs, David Isern, Antonio Moreno and Karina Gibert and has published in prestigious journals such as Bioinformatics, Information Sciences and Transportation Research Part C Emerging Technologies.

In The Last Decade

Sergio Mart́ınez

22 papers receiving 435 citations

Peers

Sergio Mart́ınez

SPS

MSOR

Jordi Castellà‐Roca Spain

Jordi Soria-Comas Spain

Z. K. A. Baizal Indonesia

Ke Deng Australia

Ana Almeida Portugal

Cen Chen China

Syed Waqar Jaffry Pakistan

Manoj Jayabalan Malaysia

Susana Fernández Spain

Long Xia China

Jordi Castellà‐Roca Spain

Sergio Mart́ınez

415 ×1.2

190 ×1.2

SPS

190 ×2.2

18 ×0.3

MSOR

10 ×0.2

Citations per year, relative to Sergio Mart́ınez Sergio Mart́ınez (= 1×) peers Jordi Castellà‐Roca

Countries citing papers authored by Sergio Mart́ınez

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Mart́ınez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Mart́ınez

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Mart́ınez. A scholar is included among the top collaborators of Sergio Mart́ınez 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 Sergio Mart́ınez. Sergio Mart́ınez 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

Domingo‐Ferrer, Josep, Krishnamurty Muralidhar, & Sergio Mart́ınez. (2025). Synthetic Data Generation via the Permutation Paradigm With Optional k-Anonymity. IEEE Transactions on Dependable and Secure Computing. 22(3). 3155–3165. 2 indexed citations

Domingo‐Ferrer, Josep, Sergio Mart́ınez, & David Sánchez. (2022). Decentralized k-anonymization of trajectories via privacy-preserving tit-for-tat. Computer Communications. 190. 57–68. 3 indexed citations

Mart́ınez, Sergio, et al.. (2021). Design and Evaluation of a Vision-Based UI for People with Large Cognitive-Motor Disabilities. Journal of Biomedical Science and Engineering. 14(4). 185–201. 1 indexed citations

Blanco-Justicia, Alberto, Josep Domingo‐Ferrer, Sergio Mart́ınez, & David Sánchez. (2020). Machine learning explainability via microaggregation and shallow decision trees. Knowledge-Based Systems. 194. 105532–105532. 42 indexed citations

Sánchez, David, Sergio Mart́ınez, Josep Domingo‐Ferrer, Jordi Soria-Comas, & Montserrat Batet. (2019). µ -ANT: semantic microaggregation-based anonymization tool. Bioinformatics. 36(5). 1652–1653. 6 indexed citations

Sánchez, David, Sergio Mart́ınez, & Josep Domingo‐Ferrer. (2018). How to Avoid Reidentification with Proper Anonymization. arXiv (Cornell University). 7 indexed citations

Sánchez, David, Josep Domingo‐Ferrer, & Sergio Mart́ınez. (2018). Co-utile disclosure of private data in social networks. Information Sciences. 441. 50–65. 5 indexed citations

Domingo‐Ferrer, Josep, Sergio Mart́ınez, David Sánchez, & Jordi Soria-Comas. (2017). Co-Utility: Self-Enforcing protocols for the mutual benefit of participants. Engineering Applications of Artificial Intelligence. 59. 148–158. 13 indexed citations

Soria-Comas, Jordi, Josep Domingo‐Ferrer, David Sánchez, & Sergio Mart́ınez. (2016). t-closeness through microaggregation: Strict privacy with enhanced utility preservation. 1464–1465. 12 indexed citations

10.

Domingo‐Ferrer, Josep, Oriol Farràs, Sergio Mart́ınez, David Sánchez, & Jordi Soria-Comas. (2016). Self-enforcing protocols via co-utile reputation management. Information Sciences. 367-368. 159–175. 14 indexed citations

11.

Sánchez, David, Sergio Mart́ınez, & Josep Domingo‐Ferrer. (2016). Co-utile P2P ridesharing via decentralization and reputation management. Transportation Research Part C Emerging Technologies. 73. 147–166. 48 indexed citations

12.

Sánchez, David, Sergio Mart́ınez, & Josep Domingo‐Ferrer. (2015). Supplementary Materials for "How to Avoid Reidentification with Proper Anonymization".. arXiv (Cornell University). 1 indexed citations

13.

Moreno, Antonio, et al.. (2015). Personalised recommendations based on novel semantic similarity and clustering procedures. AI Communications. 28(1). 127–142. 5 indexed citations

14.

Soria-Comas, Jordi, Josep Domingo‐Ferrer, David Sánchez, & Sergio Mart́ınez. (2014). Enhancing data utility in differential privacy via microaggregation-based $$k$$ k -anonymity. The VLDB Journal. 23(5). 771–794. 108 indexed citations

15.

Soria-Comas, Jordi, Josep Domingo‐Ferrer, David Sánchez, & Sergio Mart́ınez. (2013). Improving the Utility of Differentially Private Data Releases via k-Anonymity. 372–379. 27 indexed citations

16.

Mart́ınez, Sergio, David Sánchez, & Aı̈da Valls. (2012). A semantic framework to protect the privacy of electronic health records with non-numerical attributes. Journal of Biomedical Informatics. 46(2). 294–303. 53 indexed citations

17.

Mart́ınez, Sergio, David Sánchez, & Aı̈da Valls. (2012). EVALUATION OF THE DISCLOSURE RISK OF MASKING METHODS DEALING WITH TEXTUAL ATTRIBUTES. 1 indexed citations

18.

Batet, Montserrat, David Isern, Sergio Mart́ınez, et al.. (2010). Knowledge-driven delivery of home care services. Journal of Intelligent Information Systems. 38(1). 95–130. 12 indexed citations

19.

Batet, Montserrat, et al.. (2009). Customization of an agent-based medical system. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 202. 242–251. 3 indexed citations

20.

Béjar, Rubén, et al.. (2006). A Pattern-Based Approach to Support Automatic Homogeneous Map Labeling with Texts, Charts and Other Elements in a WMS. 2 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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