Robert Challen
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Krasimira Tsaneva‐Atanasova (7 shared papers)Thomas L. Edwards (3 shared papers)Martin Pitt (3 shared papers)Luke Gompels (3 shared papers)Joshua C. Denny (1 shared paper)León Danon (13 shared papers)Ellen Brooks‐Pollock (6 shared papers)Jonathan M. Read (1 shared paper)
- Journals
- Statistical Methods in Medical Research (2 papers)PLoS ONE (2 papers)The Knowledge Engineering Review (1 paper)BMJ Open (1 paper)BMJ Open Respiratory Research (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Robert Challen
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 291
- Modeling and Simulation 158
- Infectious Diseases 416
- Health Information Management 63
- Family Practice 28
Countries citing papers authored by Robert Challen
This map shows the geographic impact of Robert Challen'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 Robert Challen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Challen more than expected).
Fields of papers citing papers by Robert Challen
This network shows the impact of papers produced by Robert Challen. 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 Robert Challen. The network helps show where Robert Challen may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Challen, 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 | Artificial intelligence, bias and clinical safety Hit paper breakdown → | 2019 | 542 |
| 2 | Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study Hit paper breakdown → | 2021 | 452 |
| 3 | 2021 | 25 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 18 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2024 | 0 |
About Robert Challen
Robert Challen is a scholar working on Health Informatics, Family Practice, Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (4 papers), COVID-19 Clinical Research Studies (3 papers), Pneumonia and Respiratory Infections (3 papers), Respiratory viral infections research (3 papers), Long-Term Effects of COVID-19 (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Healthcare Operations and Scheduling Optimization (2 papers). The work is most often cited by research in Health Informatics (291 citations), Modeling and Simulation (158 citations), Infectious Diseases (416 citations), Health Information Management (63 citations) and Family Practice (28 citations). Robert Challen has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Krasimira Tsaneva‐Atanasova, Thomas L. Edwards, Martin Pitt, Luke Gompels, Joshua C. Denny, León Danon, Ellen Brooks‐Pollock, Jonathan M. Read, Louise Dyson and Lucas Lacasa. Their work appears in journals such as Statistical Methods in Medical Research, PLoS ONE, The Knowledge Engineering Review, BMJ Open and BMJ Open Respiratory Research.
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.