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 16
- Natural Language Processing Techniques 7
- AI-based Problem Solving and Planning 5
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- Biomedical Text Mining and Ontologies 17
- Co-authors
- Lorena Casal Otero (1 shared paper)Senén Barro (2 shared papers)Carmen Fernández-Morante (1 shared paper)Alejandro Catalá (1 shared paper)Beatriz Cebreiro López (1 shared paper)José Mira (8 shared papers)M.J. Sobrido (1 shared paper)Sara Cruz (1 shared paper)
In The Last Decade
M. Taboada
22 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 43
- Computer Science Applications 140
- Health Information Management 32
- Safety Research 46
- Artificial Intelligence 168
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 27 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 | 249 |
| 2 | 2020 | 40 | |
| 3 | 2012 | 26 | |
| 4 | 2014 | 24 | |
| 5 | 2009 | 16 | |
| 6 | 2005 | 15 | |
| 7 | 2014 | 12 | |
| 8 | 2013 | 10 | |
| 9 | 2017 | 10 | |
| 10 | 2001 | 8 | |
| 11 | 2012 | 7 | |
| 12 | 2011 | 7 | |
| 13 | 1993 | 4 | |
| 14 | 1999 | 4 | |
| 15 | 1992 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2011 | 2 | |
| 18 | Using lexical, terminological and ontological resources for entity recognition tasks in the medical domain | 2008 | 1 |
| 19 | A use case for DAML+OIL: a knowledge base in a clinical domain. | 2002 | 1 |
| 20 | 2017 | 1 |
About M. Taboada
M. Taboada is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Health Information Management and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 446 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Semantic Web and Ontologies (16 papers), Natural Language Processing Techniques (7 papers), AI-based Problem Solving and Planning (5 papers), Genomics and Rare Diseases (4 papers), Context-Aware Activity Recognition Systems (2 papers), Electronic Health Records Systems (2 papers) and Usability and User Interface Design (2 papers). The work is most often cited by research in Health Informatics (43 citations), Computer Science Applications (140 citations), Health Information Management (32 citations), Safety Research (46 citations) and Artificial Intelligence (168 citations). M. Taboada has collaborated with scholars based in Spain, Germany and Chile. Frequent co-authors include Lorena Casal Otero, Senén Barro, Carmen Fernández-Morante, Alejandro Catalá, Beatriz Cebreiro López, José Mira, M.J. Sobrido, Sara Cruz, Célia Sofia Moreira and María Pardo. Their work appears in journals such as Journal of Medical Systems, BMC Medical Informatics and Decision Making, Artificial Intelligence in Medicine, Database and International Journal of Human-Computer Studies.
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.