Nelia Lasierra
- Artificial Intelligence
- Molecular Biology
- Information Systems top 10%
- Health Information Management top 5%
- Oncology
- Co-authors
- Álvaro AlesancoJ. GarcíaSergio GuillénRosa Magallón-BotayaYolanda GilaberteDeclan O’SullivanOmar MartínezSabrina Neururer
- Topics
- Biomedical Text Mining and Ontologies (9 papers)Semantic Web and Ontologies (9 papers)Service-Oriented Architecture and Web Services (6 papers)
- Journals
- Expert Systems with ApplicationsInternational Journal of Medical InformaticsJournal of Biomedical Informatics
- Partner nations
- SpainAustriaUnited States
In The Last Decade
Nelia Lasierra
20 papers receiving 238 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 91
- Molecular Biology 54
- Information Systems 49
- Health Information Management 44
- Oncology 34
Countries citing papers authored by Nelia Lasierra
This map shows the geographic impact of Nelia Lasierra'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 Nelia Lasierra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nelia Lasierra more than expected).
Fields of papers citing papers by Nelia Lasierra
This network shows the impact of papers produced by Nelia Lasierra. 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 Nelia Lasierra. The network helps show where Nelia Lasierra may publish in the future.
Co-authorship network of co-authors of Nelia Lasierra
This figure shows the co-authorship network connecting the top 25 collaborators of Nelia Lasierra. A scholar is included among the top collaborators of Nelia Lasierra 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 Nelia Lasierra. Nelia Lasierra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Requirements for Workflow-Based EHR Systems - Results of a Qualitative Study. | 2 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 48 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 23 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 53 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 10 |
About Nelia Lasierra
Nelia Lasierra is a scholar working on Health Information Management, Family Practice and Information Systems, having authored 20 papers that have together received 241 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Semantic Web and Ontologies (9 papers) and Service-Oriented Architecture and Web Services (6 papers). The work is most often cited by research in Health Information Management (44 citations), Artificial Intelligence (91 citations) and Management Information Systems (23 citations). Nelia Lasierra has collaborated with scholars based in Spain, Austria and United States. Frequent co-authors include Álvaro Alesanco, J. García, Sergio Guillén, Rosa Magallón-Botaya, Yolanda Gilaberte, Declan O’Sullivan, Omar Martínez, Sabrina Neururer, Alexander Hoerbst and Sonja Zillner. Their work appears in journals such as Expert Systems with Applications, International Journal of Medical Informatics and Journal of Biomedical Informatics.
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.