Chris Graf
Impact in
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
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- Academic Publishing and Open Access
Papers in
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- Health and Medical Research Impacts 7
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- Academic Publishing and Open Access 2
- Co-authors
- Elizabeth Wager (3 shared papers)Andrew Robinson (3 shared papers)Ian Rowlands (1 shared paper)Daniel Bridges (1 shared paper)John M. Ellison (1 shared paper)Michael Willis (1 shared paper)Yvonne E. Yarker (1 shared paper)Manjunath Patel (1 shared paper)
- Journals
- Data Intelligence (2 papers)Learned Publishing (2 papers)International Journal of Clinical Practice (2 papers)Social Science Quarterly (1 paper)World Journal of Urology (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Chris Graf
17 papers receiving 336 citations
Peers
Comparison fields: 5 of 88
- Statistics, Probability and Uncertainty 99
- Information Systems and Management 85
- Pharmacology 87
- Safety Research 86
- Health Informatics 13
Countries citing papers authored by Chris Graf
This map shows the geographic impact of Chris Graf'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 Chris Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Graf more than expected).
Fields of papers citing papers by Chris Graf
This network shows the impact of papers produced by Chris Graf. 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 Chris Graf. The network helps show where Chris Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Graf, 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 | 2007 | 118 | |
| 2 | 2009 | 104 | |
| 3 | 2009 | 72 | |
| 4 | 2019 | 34 | |
| 5 | 2019 | 16 | |
| 6 | 2009 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2011 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2006 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2014 | 0 |
About Chris Graf
Chris Graf is a scholar working on Public Health, Environmental and Occupational Health, Information Systems and Management, Small Animals, Pharmacology and General Health Professions, having authored 18 papers that have together received 380 indexed citations. Recurring topics across this work include Health and Medical Research Impacts (7 papers), Pharmaceutical industry and healthcare (3 papers), Animal testing and alternatives (3 papers), Academic integrity and plagiarism (2 papers), Academic Publishing and Open Access (2 papers), Biomedical Ethics and Regulation (2 papers), Data Quality and Management (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (99 citations), Information Systems and Management (85 citations), Pharmacology (87 citations), Safety Research (86 citations) and Health Informatics (13 citations). Chris Graf has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Elizabeth Wager, Andrew Robinson, Ian Rowlands, Daniel Bridges, John M. Ellison, Michael Willis, Yvonne E. Yarker, Manjunath Patel, Wendy P. Battisti and Stuart Moss. Their work appears in journals such as Data Intelligence, Learned Publishing, International Journal of Clinical Practice, Social Science Quarterly and World Journal of Urology.
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.