M. Taboada
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
- Teaching and Learning Programming
Papers in
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- Semantic Web and Ontologies 24
- Natural Language Processing Techniques 8
- AI-based Problem Solving and Planning 6
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- Biomedical Text Mining and Ontologies 25
- Co-authors
- Senén Barro (2 shared papers)Beatriz Cebreiro López (1 shared paper)Alejandro Catalá (1 shared paper)Lorena Casal Otero (1 shared paper)Carmen Fernández-Morante (1 shared paper)José Mira (12 shared papers)Ãngel Carracedo (1 shared paper)M.J. Sobrido (1 shared paper)
In The Last Decade
M. Taboada
34 papers receiving 550 citations
M. Taboada's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 48
- Computer Science Applications 172
- Health Information Management 35
- Safety Research 58
- Artificial Intelligence 198
Countries citing papers authored by M. Taboada
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
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-authors
The 25 scholars most cited alongside M. Taboada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI literacy in K-12: a systematic literature review Hit paper breakdown → | 2023 | 331 |
| 2 | 2020 | 46 | |
| 3 | 2014 | 30 | |
| 4 | 2012 | 29 | |
| 5 | 2005 | 21 | |
| 6 | 2009 | 18 | |
| 7 | 2017 | 13 | |
| 8 | 2001 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2013 | 11 | |
| 11 | 2011 | 9 | |
| 12 | 2012 | 9 | |
| 13 | 2010 | 8 | |
| 14 | 1999 | 4 | |
| 15 | 1993 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 1992 | 3 | |
| 18 | 1992 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2011 | 2 |
About M. Taboada
M. Taboada is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Language and Linguistics and Human-Computer Interaction, having authored 39 papers that have together received 590 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (24 papers), Natural Language Processing Techniques (8 papers), AI-based Problem Solving and Planning (6 papers), linguistics and terminology studies (3 papers), Electronic Health Records Systems (3 papers), Usability and User Interface Design (3 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Health Informatics (48 citations), Computer Science Applications (172 citations), Health Information Management (35 citations), Safety Research (58 citations) and Artificial Intelligence (198 citations). M. Taboada has collaborated with scholars based in Spain, Germany and Portugal. Frequent co-authors include Senén Barro, Beatriz Cebreiro López, Alejandro Catalá, Lorena Casal Otero, Carmen Fernández-Morante, José Mira, Ãngel Carracedo, M.J. Sobrido, Sara Cruz and Célia Sofia Moreira. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of Medical Systems, Lecture notes in computer science, IEEE Transactions on Biomedical Engineering and IEEE Intelligent Systems.
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.