Jon Michael Gran
Impact in
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Advanced Causal Inference Techniques 11
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 5
- Co-authors
- Odd O. Aalen (9 shared papers)Bjørn G Iversen (3 shared papers)Otto A. Smiseth (1 shared paper)Trond P. Leren (1 shared paper)Kristina H. Haugaa (1 shared paper)Thor Edvardsen (1 shared paper)Solveig Hofvind (2 shared papers)Anne Eskild (2 shared papers)
- Journals
- Statistics in Medicine (5 papers)BMJ Open (4 papers)PLoS ONE (3 papers)BMC Public Health (3 papers)Atherosclerosis (2 papers)
- Partner nations
- NorwayUnited StatesSwitzerland
In The Last Decade
Jon Michael Gran
59 papers receiving 905 citations
Peers
Comparison fields: 5 of 113
- Statistics and Probability 117
- Modeling and Simulation 57
- Biological Psychiatry 23
- Cardiology and Cardiovascular Medicine 165
- Obstetrics and Gynecology 54
Countries citing papers authored by Jon Michael Gran
This map shows the geographic impact of Jon Michael Gran'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 Jon Michael Gran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Michael Gran more than expected).
Fields of papers citing papers by Jon Michael Gran
This network shows the impact of papers produced by Jon Michael Gran. 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 Jon Michael Gran. The network helps show where Jon Michael Gran may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Michael Gran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 98 | |
| 2 | 2011 | 71 | |
| 3 | 2010 | 60 | |
| 4 | 2019 | 54 | |
| 5 | 2015 | 50 | |
| 6 | 2018 | 46 | |
| 7 | 2011 | 42 | |
| 8 | 2010 | 41 | |
| 9 | 2011 | 40 | |
| 10 | 2020 | 29 | |
| 11 | 2008 | 29 | |
| 12 | 2015 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2016 | 21 | |
| 15 | 2023 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2019 | 14 |
About Jon Michael Gran
Jon Michael Gran is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability, Cardiology and Cardiovascular Medicine, Epidemiology and Emergency Medicine, having authored 68 papers that have together received 930 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Workplace Health and Well-being (7 papers), Retirement, Disability, and Employment (7 papers), COVID-19 epidemiological studies (7 papers), Employment and Welfare Studies (6 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (5 papers) and HIV-related health complications and treatments (4 papers). The work is most often cited by research in Statistics and Probability (117 citations), Modeling and Simulation (57 citations), Biological Psychiatry (23 citations), Cardiology and Cardiovascular Medicine (165 citations) and Obstetrics and Gynecology (54 citations). Jon Michael Gran has collaborated with scholars based in Norway, United States and Switzerland. Frequent co-authors include Odd O. Aalen, Bjørn G Iversen, Otto A. Smiseth, Trond P. Leren, Kristina H. Haugaa, Thor Edvardsen, Solveig Hofvind, Anne Eskild, Elisabeth Krefting Bjelland and Kjetil Røysland. Their work appears in journals such as Statistics in Medicine, BMJ Open, PLoS ONE, BMC Public Health and Atherosclerosis.
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.