Tim Chartier
Impact in
- Dermatology top 2%
- Dermatologic Treatments and Research
- Skin Protection and Aging
- Facial Rejuvenation and Surgery Techniques
- Acne and Rosacea Treatments and Effects
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- melanin and skin pigmentation
Papers in
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- Big Data and Business Intelligence 3
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- Dermatologic Treatments and Research 2
- Co-authors
- Leyda E. Bowes (2 shared papers)James Spencer (2 shared papers)Keyvan Nouri (2 shared papers)Amy N. Langville (1 shared paper)James D. Proctor (1 shared paper)John M. Harris (1 shared paper)Chris Koski (1 shared paper)Juliane L. Fry (1 shared paper)
- Journals
- Dermatologic Surgery (2 papers)International Journal on Digital Libraries (1 paper)Journal of Corporate Accounting & Finance (3 papers)American Mathematical Monthly (1 paper)Math Horizons (7 papers)
- Partner nations
- United States
In The Last Decade
Tim Chartier
11 papers receiving 231 citations
Peers
Comparison fields: 5 of 90
- Dermatology 149
- Cell Biology 47
- Urology 7
- Radiology, Nuclear Medicine and Imaging 25
- Management Science and Operations Research 12
Countries citing papers authored by Tim Chartier
This map shows the geographic impact of Tim Chartier'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 Tim Chartier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Chartier more than expected).
Fields of papers citing papers by Tim Chartier
This network shows the impact of papers produced by Tim Chartier. 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 Tim Chartier. The network helps show where Tim Chartier may publish in the future.
Co-authors
The 9 scholars most cited alongside Tim Chartier, 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 | 1999 | 98 | |
| 2 | 2019 | 74 | |
| 3 | 1999 | 56 | |
| 4 | 2010 | 5 | |
| 5 | 2016 | 4 | |
| 6 | 2006 | 4 | |
| 7 | 2015 | 3 | |
| 8 | 2015 | 3 | |
| 9 | 2014 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2008 | 0 | |
| 15 | 2014 | 0 |
About Tim Chartier
Tim Chartier is a scholar working on Management Information Systems, Dermatology, Communication, Speech and Hearing and General Agricultural and Biological Sciences, having authored 15 papers that have together received 251 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (3 papers), Dermatologic Treatments and Research (2 papers), Sports Analytics and Performance (1 paper), Radio, Podcasts, and Digital Media (1 paper), Diverse Educational Innovations Studies (1 paper), Digital Storytelling and Education (1 paper) and Data Analysis with R (1 paper). The work is most often cited by research in Dermatology (149 citations), Cell Biology (47 citations), Urology (7 citations), Radiology, Nuclear Medicine and Imaging (25 citations) and Management Science and Operations Research (12 citations). Tim Chartier has collaborated with scholars based in United States. Frequent co-authors include Leyda E. Bowes, James Spencer, Keyvan Nouri, Amy N. Langville, James D. Proctor, John M. Harris, Chris Koski, Juliane L. Fry and Daniel Clayton. Their work appears in journals such as Dermatologic Surgery, International Journal on Digital Libraries, Journal of Corporate Accounting & Finance, American Mathematical Monthly and Math Horizons.
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.