Alberto Moreno-Conde
- Health Information Management top 2%
- Molecular Biology
- Rehabilitation top 10%
- Public Health, Environmental and Occupational Health
- Artificial Intelligence
- Co-authors
- Dipak KalraFrancisco Jódar‐SánchezJosé Alberto MaldonadoDavid MonerMontserrat RoblesCarlos Luís Parra-CalderónCarlos ParraSandra Leal
- Topics
- Electronic Health Records Systems (10 papers)Biomedical Text Mining and Ontologies (5 papers)Autoimmune Bullous Skin Diseases (4 papers)
- Journals
- Journal of the American Medical Informatics AssociationRadiotherapy and OncologyApplied Sciences
- Partner nations
- SpainUnited KingdomSwitzerland
In The Last Decade
Alberto Moreno-Conde
27 papers receiving 225 citations
Peers
Comparison fields: 5 of 79
- Health Information Management 70
- Molecular Biology 55
- Rehabilitation 40
- Public Health, Environmental and Occupational Health 39
- Artificial Intelligence 37
Countries citing papers authored by Alberto Moreno-Conde
This map shows the geographic impact of Alberto Moreno-Conde'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 Alberto Moreno-Conde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Moreno-Conde more than expected).
Fields of papers citing papers by Alberto Moreno-Conde
This network shows the impact of papers produced by Alberto Moreno-Conde. 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 Alberto Moreno-Conde. The network helps show where Alberto Moreno-Conde may publish in the future.
Co-authorship network of co-authors of Alberto Moreno-Conde
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Moreno-Conde. A scholar is included among the top collaborators of Alberto Moreno-Conde 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 Alberto Moreno-Conde. Alberto Moreno-Conde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 50 | |
| 10 | 2 | |
| 11 | Contextual cloud-based service oriented architecture for clinical workflow. | 2 |
| 12 | 9 | |
| 13 | 57 | |
| 14 | Application of Artificial Intelligence in Tumors Sizing Classification for Breast Cancer. | 1 |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 0 |
About Alberto Moreno-Conde
Alberto Moreno-Conde is a scholar working on Health Information Management, Medical Laboratory Technology and Rehabilitation, having authored 30 papers that have together received 230 indexed citations. Recurring topics across this work include Electronic Health Records Systems (10 papers), Biomedical Text Mining and Ontologies (5 papers) and Autoimmune Bullous Skin Diseases (4 papers). The work is most often cited by research in Health Information Management (70 citations), Rehabilitation (40 citations) and Medical Terminology (1 citation). Alberto Moreno-Conde has collaborated with scholars based in Spain, United Kingdom and Switzerland. Frequent co-authors include Dipak Kalra, Francisco Jódar‐Sánchez, José Alberto Maldonado, David Moner, Montserrat Robles, Carlos Luís Parra-Calderón, Carlos Parra, Sandra Leal, Carlos de la Torre and Benjamin Hertler. Their work appears in journals such as Journal of the American Medical Informatics Association, Radiotherapy and Oncology and Applied Sciences.
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.