M. Taboada

817 total citations · 1 hit paper
27 papers, 446 citations indexed

About

M. Taboada is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, M. Taboada has authored 27 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 17 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in M. Taboada's work include Biomedical Text Mining and Ontologies (17 papers), Semantic Web and Ontologies (16 papers) and Natural Language Processing Techniques (7 papers). M. Taboada is often cited by papers focused on Biomedical Text Mining and Ontologies (17 papers), Semantic Web and Ontologies (16 papers) and Natural Language Processing Techniques (7 papers). M. Taboada collaborates with scholars based in Spain, Germany and Portugal. M. Taboada's co-authors include Carmen Fernández-Morante, Lorena Casal Otero, Beatriz Cebreiro López, Senén Barro, Alejandro Catalá, José Mira, Adriana Sampaio, Sara Cruz, Célia Sofia Moreira and Montse Fernández‐Prieto and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, BMC Bioinformatics and Journal of Autism and Developmental Disorders.

In The Last Decade

M. Taboada

22 papers receiving 412 citations

Hit Papers

AI literacy in K-12: a systematic literature review 2023 2026 2024 2025 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. AI literacy in K-12: a systematic literature review
    2023 249 citations Lorena Casal Otero, Alejandro Catalá et al. International Journal of STEM Education profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Taboada Spain 9 168 140 112 63 52 27 446
Yeonju Jang South Korea 7 142 0.8× 219 1.6× 11 0.1× 69 1.1× 67 1.3× 16 437
Seongyune Choi South Korea 7 191 1.1× 248 1.8× 11 0.1× 76 1.2× 74 1.4× 14 511
Ana Iglesias Spain 10 165 1.0× 119 0.8× 12 0.1× 105 1.7× 68 1.3× 51 424
Oliver Ferschke United States 10 265 1.6× 247 1.8× 14 0.1× 99 1.6× 104 2.0× 19 550
Soohyun Nam Liao United States 10 121 0.7× 458 3.3× 7 0.1× 101 1.6× 128 2.5× 23 557
Lihui Sun China 13 51 0.3× 442 3.2× 41 0.4× 82 1.3× 107 2.1× 28 555
Chee Wee Leong United States 16 413 2.5× 40 0.3× 12 0.1× 50 0.8× 25 0.5× 46 683
Arne Bewersdorff Germany 7 92 0.5× 127 0.9× 6 0.1× 55 0.9× 51 1.0× 18 286
Elif Polat Türkiye 9 61 0.4× 144 1.0× 5 0.0× 62 1.0× 99 1.9× 24 330
Sinan Hopcan Türkiye 8 61 0.4× 139 1.0× 5 0.0× 58 0.9× 104 2.0× 26 324

Countries citing papers authored by M. Taboada

Since Specialization
Citations

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

Fields of papers citing papers by M. Taboada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Taboada

This figure shows the co-authorship network connecting the top 25 collaborators of M. Taboada. A scholar is included among the top collaborators of M. Taboada 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 M. Taboada. M. Taboada 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.
Taboada, M., et al.. (2025). Ontology matching with Large Language Models and prioritized depth-first search. Information Fusion. 123. 103254–103254. 2 indexed citations
2.
Otero, Lorena Casal, Alejandro Catalá, Carmen Fernández-Morante, et al.. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education. 10(1). 249 indexed citations breakdown →
3.
Taboada, M., Juan Jesús Roldán, & Antonio Barrientos. (2022). Interfaz inteligente y adaptativa para personas con discapacidad. UPM Digital Archive (Technical University of Madrid). 483–490.
4.
Fernández‐Prieto, Montse, Célia Sofia Moreira, Sara Cruz, et al.. (2020). Executive Functioning: A Mediator Between Sensory Processing and Behaviour in Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 51(6). 2091–2103. 40 indexed citations
5.
6.
Taboada, M., et al.. (2017). A new synonym-substitution method to enrich the human phenotype ontology. BMC Bioinformatics. 18(1). 446–446. 10 indexed citations
7.
Taboada, M., et al.. (2014). Automated Mapping of Clinical Terms into SNOMED-CT. An Application to Codify Procedures in Pathology. Journal of Medical Systems. 38(10). 134–134. 12 indexed citations
8.
Taboada, M., et al.. (2013). SNOMED CT module-driven clinical archetype management. Journal of Biomedical Informatics. 46(3). 388–400. 10 indexed citations
9.
Taboada, M., et al.. (2012). Semantic similarity-based alignment between clinical archetypes and SNOMED CT: An application to observations. International Journal of Medical Informatics. 81(8). 566–578. 26 indexed citations
10.
Taboada, M., et al.. (2012). Summarizing Phenotype Evolution Patterns from Report Cases. Journal of Medical Systems. 36(S1). 25–36.
11.
Taboada, M., et al.. (2012). Querying phenotype-genotype relationships on patient datasets using semantic web technology: the example of cerebrotendinous xanthomatosis. BMC Medical Informatics and Decision Making. 12(1). 78–78. 7 indexed citations
12.
Taboada, M., Rafael Martínez‐Tomás, & José Manuel Ferrández. (2011). New perspectives on the application of expert systems. Expert Systems. 28(4). 285–287. 2 indexed citations
13.
Taboada, M., et al.. (2011). Combining open‐source natural language processing tools to parse clinical practice guidelines. Expert Systems. 30(1). 3–11. 7 indexed citations
14.
Taboada, M., et al.. (2009). An Automated Approach to Mapping External Terminologies to the UMLS. IEEE Transactions on Biomedical Engineering. 56(6). 1598–1605. 16 indexed citations
15.
Taboada, M., et al.. (2008). Using lexical, terminological and ontological resources for entity recognition tasks in the medical domain. Lecture notes in computer science. 21–31. 1 indexed citations
16.
Taboada, M., et al.. (2002). A use case for DAML+OIL: a knowledge base in a clinical domain.. 1 indexed citations
17.
Taboada, M., et al.. (1999). A problem-solving method for ‘unprotocolised’ therapy administration task in medicine. Artificial Intelligence in Medicine. 17(2). 157–180. 4 indexed citations
18.
Taboada, M., et al.. (1996). Integrating medical expert systems, patient data-bases and user interfaces. Journal of Intelligent Information Systems. 7(3). 261–285.
19.
Marı́n, R., et al.. (1993). Design and integration of a graphic interface for an expert system in oncology. International Journal of Bio-Medical Computing. 33(1). 25–43. 4 indexed citations
20.
Marı́n, R., et al.. (1992). Rapid prototyping in graphic interface development for medical expert systems. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 840–841. 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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