Diego Boscá

478 total citations
23 papers, 281 citations indexed

About

Diego Boscá is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Diego Boscá has authored 23 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Molecular Biology and 8 papers in Health Information Management. Recurrent topics in Diego Boscá's work include Semantic Web and Ontologies (17 papers), Biomedical Text Mining and Ontologies (16 papers) and Electronic Health Records Systems (8 papers). Diego Boscá is often cited by papers focused on Semantic Web and Ontologies (17 papers), Biomedical Text Mining and Ontologies (16 papers) and Electronic Health Records Systems (8 papers). Diego Boscá collaborates with scholars based in Spain, Austria and Paraguay. Diego Boscá's co-authors include Montserrat Robles, José Alberto Maldonado, David Moner, Begoña Martínez‐Salvador, Mar Marcos, Jesualdo Tomás Fernández‐Breis, Catalina Martínez-Costa, Marcos Menárguez-Tortosa, José Antonio Miñarro-Giménez and Luis Marco-Ruiz and has published in prestigious journals such as Journal of Medical Internet Research, International Journal of Medical Informatics and Journal of Biomedical Informatics.

In The Last Decade

Diego Boscá

23 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Boscá Spain 8 172 131 115 69 40 23 281
David Moner Spain 10 220 1.3× 183 1.4× 143 1.2× 92 1.3× 45 1.1× 27 363
Marcos Menárguez-Tortosa Spain 10 169 1.0× 202 1.5× 188 1.6× 88 1.3× 47 1.2× 21 348
Sebastian Mate Germany 12 147 0.9× 152 1.2× 128 1.1× 94 1.4× 49 1.2× 26 374
Catalina Martínez-Costa Spain 12 212 1.2× 274 2.1× 256 2.2× 104 1.5× 50 1.3× 39 453
Grahame Grieve United States 7 105 0.6× 81 0.6× 83 0.7× 47 0.7× 15 0.4× 9 272
Walter Sujansky United States 10 157 0.9× 153 1.2× 138 1.2× 55 0.8× 63 1.6× 17 384
Duane Bender Canada 3 127 0.7× 61 0.5× 95 0.8× 45 0.7× 22 0.6× 5 322
Thomas Aden Germany 5 121 0.7× 63 0.5× 86 0.7× 64 0.9× 20 0.5× 6 251
Jörg Riesmeier Germany 5 103 0.6× 57 0.4× 94 0.8× 44 0.6× 21 0.5× 13 286
Charles N. Mead United States 10 264 1.5× 271 2.1× 141 1.2× 56 0.8× 53 1.3× 24 528

Countries citing papers authored by Diego Boscá

Since Specialization
Citations

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

Fields of papers citing papers by Diego Boscá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Boscá

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Boscá. A scholar is included among the top collaborators of Diego Boscá 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 Diego Boscá. Diego Boscá 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.
Pedrera‐Jiménez, Miguel, Noelia García Barrio, David Moner, et al.. (2023). Can OpenEHR, ISO 13606, and HL7 FHIR Work Together? An Agnostic Approach for the Selection and Application of Electronic Health Record Standards to the Next-Generation Health Data Spaces. Journal of Medical Internet Research. 25. e48702–e48702. 9 indexed citations
2.
Boscá, Diego, et al.. (2023). Eos and OMOCL: Towards a seamless integration of openEHR records into the OMOP Common Data Model. Journal of Biomedical Informatics. 144. 104437–104437. 7 indexed citations
3.
4.
Maldonado, José Alberto, et al.. (2021). Definition and validation of SNOMED CT subsets using the expression constraint language. Journal of Biomedical Informatics. 117. 103747–103747. 6 indexed citations
5.
Fleitas, Tania, Carolina Martínez‐Ciarpaglini, María Teresa Martínez, et al.. (2019). Molecular profile in Paraguayan colorectal cancer patients, towards to a precision medicine strategy. Cancer Medicine. 8(6). 3120–3130. 2 indexed citations
6.
Sáez, Carlos, David Moner, José Alberto Maldonado, et al.. (2017). A Standardized and Data Quality Assessed Maternal-Child Care Integrated Data Repository for Research and Monitoring of Best Practices: A Pilot Project in Spain. Studies in health technology and informatics. 235. 539–543. 4 indexed citations
7.
Boscá, Diego, José Alberto Maldonado, David Moner, & Montserrat Robles. (2015). Automatic generation of computable implementation guides from clinical information models. Journal of Biomedical Informatics. 55. 143–152. 4 indexed citations
8.
Boscá, Diego, David Moner, José Alberto Maldonado, & Montserrat Robles. (2015). Combining Archetypes with Fast Health Interoperability Resources in Future-proof Health Information Systems. Studies in health technology and informatics. 210. 180–4. 9 indexed citations
9.
Kobayashi, Shinji, et al.. (2014). Reforming MML (Medical Markup Language) Standard with Archetype Technology. 8(2). 57–60. 2 indexed citations
10.
Boscá, Diego, Luis Marco-Ruiz, Teresa Jaijo, et al.. (2013). Genetic Testing Information Standardization in HL7 CDA and ISO13606. Studies in health technology and informatics. 192. 338–42. 8 indexed citations
11.
Marcos, Mar, José Alberto Maldonado, Begoña Martínez‐Salvador, Diego Boscá, & Montserrat Robles. (2013). Interoperability of clinical decision-support systems and electronic health records using archetypes: A case study in clinical trial eligibility. Journal of Biomedical Informatics. 46(4). 676–689. 84 indexed citations
12.
Maldonado, José Alberto, Catalina Martínez-Costa, David Moner, et al.. (2011). Using the ResearchEHR platform to facilitate the practical application of the EHR standards. Journal of Biomedical Informatics. 45(4). 746–762. 29 indexed citations
13.
Maldonado, José Alberto, et al.. (2011). Concept-Based Exchange of Healthcare Information: The LinkEHR Approach. 14. 150–157. 3 indexed citations
14.
Robles, Montserrat, Jesualdo Tomás Fernández‐Breis, José Alberto Maldonado, et al.. (2010). ResearchEHR: Use of semantic web technologies and archetypes for the description of EHRs. Studies in health technology and informatics. 155. 129–35. 4 indexed citations
15.
Moner, David, et al.. (2010). CEN EN13606 Normalisation Framework Implementation Experiences. Studies in health technology and informatics. 155. 136–42. 1 indexed citations
16.
Maldonado, José Alberto, et al.. (2009). LinkEHR-Ed: A multi-reference model archetype editor based on formal semantics. International Journal of Medical Informatics. 78(8). 559–570. 61 indexed citations
17.
Maldonado, José Alberto, et al.. (2008). Semantic upgrade and normalization of existing EHR extracts. PubMed. 2008. 1466–1469. 4 indexed citations
18.
Maldonado, José Alberto, et al.. (2007). Framework for clinical data standardization based on archetypes.. PubMed. 129(Pt 1). 454–8. 13 indexed citations
19.
Moner, David, et al.. (2006). Archetype-Based Semantic Integration and Standardization of Clinical Data. PubMed. 2006. 5141–5144. 15 indexed citations
20.
Moner, David, et al.. (2006). Archetype-Based Semantic Integration and Standardization of Clinical Data. Conference proceedings. 4 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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