Brad Hammill
- Demography top 5%
- Migration, Aging, and Tourism Studies 1
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- Antiplatelet Therapy and Cardiovascular Diseases 1
- Cardiac Arrhythmias and Treatments 1
- Atrial Fibrillation Management and Outcomes 1
- Gender Studies top 10%
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- Intergenerational Family Dynamics and Caregiving 1
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- Statistical Methods in Clinical Trials 1
- Advanced Causal Inference Techniques 1
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- Health Systems, Economic Evaluations, Quality of Life 1
- Co-authors
- Peter UhlenbergMoritz F. SinnerAdrian F. HernandezJonathan P. PicciniEmelia J. BenjaminSusan R. HeckbertAllan J. WalkeyCheng‐Yu Chen
- Cited by
- Neuropsychology and Physiological PsychologyDemographyCardiology and Cardiovascular Medicine
- Journals
- European Heart Journal (1 paper)The Gerontologist (1 paper)American Journal of Epidemiology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Brad Hammill
3 papers receiving 298 citations
Peers
Comparison fields: 5 of 56
- Neuropsychology and Physiological Psychology 23
- Demography 111
- Cardiology and Cardiovascular Medicine 131
- Gender Studies 52
- Health 38
Countries citing papers authored by Brad Hammill
This map shows the geographic impact of Brad Hammill'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 Brad Hammill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad Hammill more than expected).
Fields of papers citing papers by Brad Hammill
This network shows the impact of papers produced by Brad Hammill. 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 Brad Hammill. The network helps show where Brad Hammill may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Brad Hammill, 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 | 2014 | 6 | |
| 2 | 2013 | 137 | |
| 3 | 1998 | 175 |
About Brad Hammill
Brad Hammill is a scholar working on Statistics and Probability, Gender Studies, Demography, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 3 papers that have together received 318 indexed citations. Recurring topics across this work include Intergenerational Family Dynamics and Caregiving (1 paper), Migration, Aging, and Tourism Studies (1 paper), Statistical Methods in Clinical Trials (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Antiplatelet Therapy and Cardiovascular Diseases (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Advanced Causal Inference Techniques (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (23 citations), Demography (111 citations), Cardiology and Cardiovascular Medicine (131 citations), Gender Studies (52 citations) and Health (38 citations). Brad Hammill has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter Uhlenberg, Moritz F. Sinner, Adrian F. Hernandez, Jonathan P. Piccini, Emelia J. Benjamin, Susan R. Heckbert, Allan J. Walkey, Cheng‐Yu Chen, Soko Setoguchi and Jessica J. Jalbert. Their work appears in journals such as European Heart Journal, The Gerontologist and American Journal of Epidemiology.
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.