David Moner

593 total citations
27 papers, 363 citations indexed

About

David Moner is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, David Moner has authored 27 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Molecular Biology and 12 papers in Health Information Management. Recurrent topics in David Moner's work include Semantic Web and Ontologies (18 papers), Biomedical Text Mining and Ontologies (13 papers) and Electronic Health Records Systems (12 papers). David Moner is often cited by papers focused on Semantic Web and Ontologies (18 papers), Biomedical Text Mining and Ontologies (13 papers) and Electronic Health Records Systems (12 papers). David Moner collaborates with scholars based in Spain, Germany and United Kingdom. David Moner's co-authors include José Alberto Maldonado, Montserrat Robles, Diego Boscá, Jesualdo Tomás Fernández‐Breis, Alberto Moreno-Conde, Dipak Kalra, Luis Marco-Ruiz, Johan Gustav Bellika, Nils Kolstrup and Begoña Martínez‐Salvador and has published in prestigious journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and International Journal of Medical Informatics.

In The Last Decade

David Moner

25 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Moner Spain 10 220 183 143 92 50 27 363
Diego Boscá Spain 8 172 0.8× 131 0.7× 115 0.8× 69 0.8× 39 0.8× 23 281
Tonya Hongsermeier United States 11 211 1.0× 150 0.8× 106 0.7× 52 0.6× 55 1.1× 28 451
Catalina Martínez-Costa Spain 12 212 1.0× 274 1.5× 256 1.8× 104 1.1× 39 0.8× 39 453
Sebastian Mate Germany 12 147 0.7× 152 0.8× 128 0.9× 94 1.0× 79 1.6× 26 374
Walter Sujansky United States 10 157 0.7× 153 0.8× 138 1.0× 55 0.6× 38 0.8× 17 384
José Alberto Maldonado Spain 13 318 1.4× 272 1.5× 238 1.7× 143 1.6× 74 1.5× 43 602
Marcos Menárguez-Tortosa Spain 10 169 0.8× 202 1.1× 188 1.3× 88 1.0× 29 0.6× 21 348
Charles N. Mead United States 10 264 1.2× 271 1.5× 141 1.0× 56 0.6× 103 2.1× 24 528
Mar Marcos Spain 12 169 0.8× 166 0.9× 169 1.2× 46 0.5× 112 2.2× 33 447
Dennis Toddenroth Germany 11 122 0.6× 110 0.6× 160 1.1× 40 0.4× 50 1.0× 30 448

Countries citing papers authored by David Moner

Since Specialization
Citations

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

Fields of papers citing papers by David Moner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Moner

This figure shows the co-authorship network connecting the top 25 collaborators of David Moner. A scholar is included among the top collaborators of David Moner 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 David Moner. David Moner 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.
Moner, David, José Alberto Maldonado, & Montserrat Robles. (2018). Archetype modeling methodology. Journal of Biomedical Informatics. 79. 71–81. 10 indexed citations
3.
Marco-Ruiz, Luis, David Moner, José Alberto Maldonado, Nils Kolstrup, & Johan Gustav Bellika. (2015). Archetype-based data warehouse environment to enable the reuse of electronic health record data. International Journal of Medical Informatics. 84(9). 702–714. 32 indexed citations
4.
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
5.
Moreno-Conde, Alberto, et al.. (2015). Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis. Journal of the American Medical Informatics Association. 22(4). 925–934. 57 indexed citations
6.
Fernández‐Breis, Jesualdo Tomás, José Alberto Maldonado, Mar Marcos, et al.. (2013). Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts. Journal of the American Medical Informatics Association. 20(e2). e288–e296. 51 indexed citations
7.
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
8.
Maldonado, José Alberto, et al.. (2011). Concept-Based Exchange of Healthcare Information: The LinkEHR Approach. 14. 150–157. 3 indexed citations
9.
Balazote, Pablo Serrano, et al.. (2011). Patient Summary and medicines reconciliation: application of the ISO/CEN EN 13606 standard in clinical practice.. PubMed. 166. 189–96. 6 indexed citations
10.
Moner, David, et al.. (2010). Standardized and Flexible Health Data Management with an Archetype Driven EHR System (EHRflex). Studies in health technology and informatics. 155. 212–8. 6 indexed citations
11.
Balazote, Pablo Serrano, et al.. (2009). Utilidad de los arquetipos ISO 13606 para representar modelos clínicos detallados. RiuNet (Politechnical University of Valencia). 5(18). 100–110. 1 indexed citations
12.
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
13.
Maldonado, José Alberto, et al.. (2008). Semantic upgrade and normalization of existing EHR extracts. PubMed. 2008. 1466–1469. 4 indexed citations
14.
Fernández‐Breis, Jesualdo Tomás, Marcos Menárguez-Tortosa, Catalina Martínez-Costa, et al.. (2008). A semantic web-based system for managing clinical archetypes. PubMed. 2008. 1482–1485. 12 indexed citations
15.
Fernández‐Breis, Jesualdo Tomás, et al.. (2007). Poseacle: An Ontological Infrastructure for Managing Clinical Archetypes in Semantic Web Environments. 2299. 1 indexed citations
16.
Maldonado, José Alberto, et al.. (2007). Non-invasive lightweight integration engine for building EHR from autonomous distributed systems. International Journal of Medical Informatics. 76. S417–S424. 10 indexed citations
17.
Fernández‐Breis, Jesualdo Tomás, et al.. (2006). Using semantic technologies to promote interoperability between electronic healthcare records' information models. PubMed. 2006. 2614–2617. 3 indexed citations
18.
Moner, David, et al.. (2006). Archetype-Based Semantic Integration and Standardization of Clinical Data. PubMed. 2006. 5141–5144. 15 indexed citations
19.
Moner, David, et al.. (2006). Archetype-Based Semantic Integration and Standardization of Clinical Data. Conference proceedings. 4 indexed citations
20.
Moner, David, et al.. (2006). Non-invasive light-weight integration engine for building EHR from autonomous distributed systems.. PubMed. 124. 173–8. 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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