Aurel Cami
Impact in
- Toxicology top 2%
- Pharmacovigilance and Adverse Drug Reactions
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- Computational Drug Discovery Methods
Papers in
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- Pharmacovigilance and Adverse Drug Reactions 3
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- Vector-borne infectious diseases 2
- Co-authors
- Ben Y. Reis (4 shared papers)Shannon F. Manzi (2 shared papers)Alana D. Arnold (2 shared papers)Kenneth D. Mandl (4 shared papers)Narsingh Deo (2 shared papers)Garrick L Wallstrom (5 shared papers)William R. Hogan (5 shared papers)Ahmet E. Topcu (4 shared papers)
- Journals
- BMC Medical Informatics and Decision Making (2 papers)Science Translational Medicine (1 paper)Clinical Infectious Diseases (1 paper)Journal of General Internal Medicine (1 paper)Vector-Borne and Zoonotic Diseases (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Aurel Cami
21 papers receiving 411 citations
Peers
Comparison fields: 5 of 35
- Toxicology 56
- Computational Theory and Mathematics 97
- Parasitology 24
- Geriatrics and Gerontology 8
- Statistical and Nonlinear Physics 24
Countries citing papers authored by Aurel Cami
This map shows the geographic impact of Aurel Cami'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 Aurel Cami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurel Cami more than expected).
Fields of papers citing papers by Aurel Cami
This network shows the impact of papers produced by Aurel Cami. 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 Aurel Cami. The network helps show where Aurel Cami may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurel Cami, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 108 | |
| 2 | 2013 | 70 | |
| 3 | 2011 | 46 | |
| 4 | 2015 | 42 | |
| 5 | 2015 | 30 | |
| 6 | 2009 | 28 | |
| 7 | 2015 | 21 | |
| 8 | 2007 | 18 | |
| 9 | 2015 | 14 | |
| 10 | 2007 | 11 | |
| 11 | 2007 | 10 | |
| 12 | 2007 | 8 | |
| 13 | 2007 | 6 | |
| 14 | 2007 | 5 | |
| 15 | 2014 | 4 | |
| 16 | The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight. | 2016 | 4 |
| 17 | 2008 | 3 | |
| 18 | 2008 | 3 | |
| 19 | 2008 | 2 | |
| 20 | Accounting for Emotions in Multi-Agent Modeling and Simulation Systems | 2003 | 1 |
About Aurel Cami
Aurel Cami is a scholar working on Toxicology, Parasitology, Statistical and Nonlinear Physics, Epidemiology and Discrete Mathematics and Combinatorics, having authored 22 papers that have together received 435 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (4 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Vector-borne infectious diseases (2 papers), Distributed and Parallel Computing Systems (2 papers), Complex Network Analysis Techniques (2 papers), Bacillus and Francisella bacterial research (1 paper), Psychiatry, Mental Health, Neuroscience (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Toxicology (56 citations), Computational Theory and Mathematics (97 citations), Parasitology (24 citations), Geriatrics and Gerontology (8 citations) and Statistical and Nonlinear Physics (24 citations). Aurel Cami has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ben Y. Reis, Shannon F. Manzi, Alana D. Arnold, Kenneth D. Mandl, Narsingh Deo, Garrick L Wallstrom, William R. Hogan, Ahmet E. Topcu, Geoffrey Fox and Yi‐Ju Tseng. Their work appears in journals such as BMC Medical Informatics and Decision Making, Science Translational Medicine, Clinical Infectious Diseases, Journal of General Internal Medicine and Vector-Borne and Zoonotic Diseases.
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.