Montserrat Batet

2.7k total citations
55 papers, 1.8k citations indexed

About

Montserrat Batet is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Montserrat Batet has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 16 papers in Molecular Biology and 13 papers in Sociology and Political Science. Recurrent topics in Montserrat Batet's work include Privacy-Preserving Technologies in Data (20 papers), Semantic Web and Ontologies (18 papers) and Topic Modeling (17 papers). Montserrat Batet is often cited by papers focused on Privacy-Preserving Technologies in Data (20 papers), Semantic Web and Ontologies (18 papers) and Topic Modeling (17 papers). Montserrat Batet collaborates with scholars based in Spain, United States and Norway. Montserrat Batet's co-authors include David Sánchez, Aı̈da Valls, David Isern, Karina Gibert, Alexandre Viejo, Sergio Mart́ınez, Antonio Moreno, Francesc Serratosa, Albert Solé‐Ribalta and Pierre Lison and has published in prestigious journals such as Bioinformatics, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Montserrat Batet

53 papers receiving 1.7k citations

Peers

Montserrat Batet

SPS

MSOR

Diana Maynard United Kingdom

Suresh Manandhar United Kingdom

Trond Grenager United States

Paul Buitelaar Ireland

Kazuya Kawakami United Kingdom

Victoria Uren United Kingdom

Kenny Q. Zhu China

Rinke Hoekstra Netherlands

Denny Vrandečić Germany

Mari Carmen Suárez-Figueroa Spain

Diana Maynard United Kingdom

Montserrat Batet

2.0k ×1.5

288 ×0.6

771 ×2.0

246 ×0.8

SPS

244 ×1.5

MSOR

Citations per year, relative to Montserrat Batet Montserrat Batet (= 1×) peers Diana Maynard

Countries citing papers authored by Montserrat Batet

Since Specialization

Citations

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

Fields of papers citing papers by Montserrat Batet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Montserrat Batet

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

Lison, Pierre, Ildikó Pilán, David Sánchez, Montserrat Batet, & Lilja Øvrelid. (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions. 4188–4203. 38 indexed citations

Sánchez, David, Alexandre Viejo, & Montserrat Batet. (2021). Automatic Assessment of Privacy Policies under the GDPR. Applied Sciences. 11(4). 1762–1762. 13 indexed citations

Batet, Montserrat & David Sánchez. (2019). Leveraging synonymy and polysemy to improve semantic similarity assessments based on intrinsic information content. Artificial Intelligence Review. 53(3). 2023–2041. 12 indexed citations

Sánchez, David, et al.. (2018). A semantic-preserving differentially private method for releasing query logs. Information Sciences. 460-461. 223–237. 4 indexed citations

Garcı́a-Serrano, Ana, et al.. (2017). HESML: A scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset. Information Systems. 66. 97–118. 36 indexed citations

Sánchez, David, Montserrat Batet, & Alexandre Viejo. (2014). Utility-preserving privacy protection of textual healthcare documents. Journal of Biomedical Informatics. 52. 189–198. 28 indexed citations

Sánchez, David, Montserrat Batet, & Alexandre Viejo. (2014). Utility-preserving sanitization of semantically correlated terms in textual documents. Information Sciences. 279. 77–93. 20 indexed citations

Sánchez, David, Montserrat Batet, & Alexandre Viejo. (2013). Detecting Term Relationships to Improve Textual Document Sanitization. Pacific Asia Conference on Information Systems. 105. 5 indexed citations

Batet, Montserrat, Arnau Erola, David Sánchez, & Jordi Castellà‐Roca. (2013). Utility preserving query log anonymization via semantic microaggregation. Information Sciences. 242. 49–63. 24 indexed citations

10.

Gibert, Karina, Aı̈da Valls, & Montserrat Batet. (2013). Introducing semantic variables in mixed distance measures: Impact on hierarchical clustering. Knowledge and Information Systems. 40(3). 559–593. 8 indexed citations

11.

Sánchez, David, Montserrat Batet, David Isern, & Aı̈da Valls. (2012). Ontology-based semantic similarity: A new feature-based approach. Expert Systems with Applications. 39(9). 7718–7728. 245 indexed citations

12.

Sánchez, David & Montserrat Batet. (2011). Semantic similarity estimation in the biomedical domain: An ontology-based information-theoretic perspective. Journal of Biomedical Informatics. 44(5). 749–759. 103 indexed citations

13.

Sánchez, David, Albert Solé‐Ribalta, Montserrat Batet, & Francesc Serratosa. (2011). Enabling semantic similarity estimation across multiple ontologies: An evaluation in the biomedical domain. Journal of Biomedical Informatics. 45(1). 141–155. 38 indexed citations

14.

Batet, Montserrat, David Sánchez, Aı̈da Valls, & Karina Gibert. (2010). Exploiting taxonomical knowledge to compute semantic similarity: an evaluation in the biomedical domain. 274–283. 1 indexed citations

15.

Sánchez, David, Montserrat Batet, & Aı̈da Valls. (2010). Web-Based Semantic Similarity: An Evaluation in the Biomedical Domain.. 4. 39–52. 9 indexed citations

16.

Batet, Montserrat, David Sánchez, & Aı̈da Valls. (2010). An ontology-based measure to compute semantic similarity in biomedicine. Journal of Biomedical Informatics. 44(1). 118–125. 166 indexed citations

17.

Valls, Aı̈da, Karina Gibert, David Sánchez, & Montserrat Batet. (2010). Using ontologies for structuring organizational knowledge in Home Care assistance. International Journal of Medical Informatics. 79(5). 370–387. 69 indexed citations

18.

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

19.

Batet, Montserrat, et al.. (1995). THE ACQUISITION OF NEGATION IN ENGLISH. Atlantis: Revista de la Asociación Española de Estudios Anglo-Norteamericanos. 17(1). 27–44. 5 indexed citations

20.

Batet, Montserrat. (1993). Children's yes-no and wh-questions. Atlantis: Revista de la Asociación Española de Estudios Anglo-Norteamericanos. 15(1). 35–59. 3 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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