Luis H. John
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 7
- Topic Modeling 2
-
- Sepsis Diagnosis and Treatment 3
- Co-authors
- Peter R. Rijnbeek (9 shared papers)Jan A. Kors (6 shared papers)Ross D. Williams (6 shared papers)Aniek F. Markus (5 shared papers)Cynthia Yang (4 shared papers)Egill A. Friðgeirsson (5 shared papers)Maria de Ridder (2 shared papers)Jenna Reps (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (2 papers)Scientific Reports (1 paper)Drug Safety (1 paper)BMC Medical Research Methodology (1 paper)BMJ (1 paper)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Luis H. John
10 papers receiving 161 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 16
- Health Information Management 24
- Applied Microbiology and Biotechnology 6
- Issues, ethics and legal aspects 3
- Toxicology 8
Countries citing papers authored by Luis H. John
This map shows the geographic impact of Luis H. John'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 Luis H. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis H. John more than expected).
Fields of papers citing papers by Luis H. John
This network shows the impact of papers produced by Luis H. John. 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 Luis H. John. The network helps show where Luis H. John may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis H. John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 39 | |
| 2 | 2022 | 37 | |
| 3 | 2022 | 36 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 0 |
About Luis H. John
Luis H. John is a scholar working on Artificial Intelligence, Epidemiology, Surgery, Health Information Management and Health Informatics, having authored 11 papers that have together received 163 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Sepsis Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Meta-analysis and systematic reviews (2 papers), Topic Modeling (2 papers), Blood groups and transfusion (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (24 citations), Applied Microbiology and Biotechnology (6 citations), Issues, ethics and legal aspects (3 citations) and Toxicology (8 citations). Luis H. John has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Peter R. Rijnbeek, Jan A. Kors, Ross D. Williams, Aniek F. Markus, Cynthia Yang, Egill A. Friðgeirsson, Maria de Ridder, Jenna Reps, Erik M. van Mulligen and Christian Reich. Their work appears in journals such as Journal of the American Medical Informatics Association, Scientific Reports, Drug Safety, BMC Medical Research Methodology and BMJ.
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.