Luis H. John

407 total citations
11 papers, 163 citations indexed

About

Luis H. John is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Luis H. John has authored 11 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Luis H. John's work include Machine Learning in Healthcare (7 papers), Sepsis Diagnosis and Treatment (3 papers) and Artificial Intelligence in Healthcare (2 papers). Luis H. John is often cited by papers focused on Machine Learning in Healthcare (7 papers), Sepsis Diagnosis and Treatment (3 papers) and Artificial Intelligence in Healthcare (2 papers). Luis H. John collaborates with scholars based in Netherlands, United States and United Kingdom. Luis H. John's co-authors include Peter R. Rijnbeek, Jan A. Kors, Cynthia Yang, Aniek F. Markus, Ross D. Williams, Egill A. Friðgeirsson, Jenna Reps, Maria de Ridder, Christian Reich and Talita Duarte‐Salles and has published in prestigious journals such as Scientific Reports, BMJ and Journal of the American Medical Informatics Association.

In The Last Decade

Luis H. John

10 papers receiving 161 citations

Peers

Luis H. John

SURGE

EPIDE

HIM

Chris Knoll United States

Ying-Chih Lo Taiwan

Christopher Martin Sauer United States

Samuel Gluck Australia

Ahmad Naoras Bitar Malaysia

Shengpu Tang United States

Alexander Pate United Kingdom

Joe Kimura United States

Anurag Garikipati United States

Ugochukwu Ugwuowo United States

Chris Knoll United States

Luis H. John

41 ×0.7

23 ×0.9

SURGE

30 ×1.2

EPIDE

17 ×0.7

33 ×1.4

HIM

Citations per year, relative to Luis H. John Luis H. John (= 1×) peers Chris Knoll

Countries citing papers authored by Luis H. John

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Luis H. John

This figure shows the co-authorship network connecting the top 25 collaborators of Luis H. John. A scholar is included among the top collaborators of Luis H. John 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 Luis H. John. Luis H. John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Reps, Jenna, Egill A. Friðgeirsson, Chungsoo Kim, et al.. (2025). Finding a constrained number of predictor phenotypes for multiple outcome prediction. BMJ Health & Care Informatics. 32(1). e101227–e101227.

Markus, Aniek F., Egill A. Friðgeirsson, Luis H. John, et al.. (2025). Implementation and Updating of Clinical Prediction Models: A Systematic Review. PubMed. 3(3). 100228–100228. 2 indexed citations

Lysen, Thom S., Hanne van Ballegooijen, Peter Rijnbeek, et al.. (2023). Impact of European Union Label Changes for Fluoroquinolone-Containing Medicinal Products for Systemic and Inhalation Use: Post-Referral Prescribing Trends. Drug Safety. 46(4). 405–416. 14 indexed citations

Friðgeirsson, Egill A., Luis H. John, Jan A. Kors, et al.. (2022). Use of unstructured text in prognostic clinical prediction models: a systematic review. medRxiv. 2 indexed citations

Yang, Cynthia, Jan A. Kors, Luis H. John, et al.. (2022). Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. Journal of the American Medical Informatics Association. 29(5). 983–989. 39 indexed citations

John, Luis H., Jan A. Kors, Egill A. Friðgeirsson, Jenna Reps, & Peter R. Rijnbeek. (2022). External validation of existing dementia prediction models on observational health data. BMC Medical Research Methodology. 22(1). 311–311. 12 indexed citations

John, Luis H., Jan A. Kors, Jenna Reps, Patrick Ryan, & Peter R. Rijnbeek. (2022). Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?. International Journal of Medical Informatics. 163. 104762–104762. 7 indexed citations

Friðgeirsson, Egill A., Luis H. John, Jan A. Kors, et al.. (2022). Use of unstructured text in prognostic clinical prediction models: a systematic review. Journal of the American Medical Informatics Association. 29(7). 1292–1302. 37 indexed citations

Li, Xintong, Edward Burn, Talita Duarte‐Salles, et al.. (2022). Comparative risk of thrombosis with thrombocytopenia syndrome or thromboembolic events associated with different covid-19 vaccines: international network cohort study from five European countries and the US. BMJ. 379. e071594–e071594. 36 indexed citations

10.

Yang, Cynthia, Jan A. Kors, Luis H. John, et al.. (2021). Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. medRxiv. 3 indexed citations

11.

Boland, Mary Regina, Martin Fieder, Luis H. John, Peter R. Rijnbeek, & Susanne Huber. (2020). Female Reproductive Performance and Maternal Birth Month: A Comprehensive Meta-Analysis Exploring Multiple Seasonal Mechanisms. Scientific Reports. 10(1). 555–555. 11 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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