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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- Peer-to-Peer Network Technologies 5
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- Computational Drug Discovery Methods 5
- Co-authors
- Ben Y. Reis (4 shared papers)Shannon Manzi (2 shared papers)Alana Arnold (2 shared papers)Kenneth D. Mandl (4 shared papers)Narsingh Deo (2 shared papers)Ahmet E. Topcu (4 shared papers)Geoffrey Fox (4 shared papers)Mei-Sing Ong (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (2 papers)Clinical Infectious Diseases (1 paper)Science Translational Medicine (1 paper)Drug Safety (1 paper)Vector-Borne and Zoonotic Diseases (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Aurel Cami
19 papers receiving 368 citations
Peers
Comparison fields: 5 of 83
- Toxicology 79
- Computational Theory and Mathematics 157
- Pharmacology 54
- Geriatrics and Gerontology 20
- Parasitology 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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 96 | |
| 2 | 2013 | 62 | |
| 3 | 2011 | 45 | |
| 4 | 2015 | 40 | |
| 5 | 2015 | 29 | |
| 6 | 2015 | 18 | |
| 7 | 2015 | 14 | |
| 8 | 2007 | 14 | |
| 9 | 2009 | 12 | |
| 10 | 2007 | 10 | |
| 11 | 2007 | 9 | |
| 12 | 2007 | 8 | |
| 13 | 2007 | 5 | |
| 14 | 2014 | 4 | |
| 15 | The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight. | 2016 | 4 |
| 16 | 2007 | 4 | |
| 17 | 2008 | 3 | |
| 18 | 2008 | 1 | |
| 19 | Accounting for Emotions in Multi-Agent Modeling and Simulation Systems | 2003 | 1 |
| 20 | Compression of Vertex Transitive Graphs | 2008 | 0 |
About Aurel Cami
Aurel Cami is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Information Systems, Molecular Biology and Toxicology, having authored 20 papers that have together received 379 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Peer-to-Peer Network Technologies (5 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Data-Driven Disease Surveillance (3 papers), Web Data Mining and Analysis (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Toxicology (79 citations), Computational Theory and Mathematics (157 citations), Pharmacology (54 citations), Geriatrics and Gerontology (20 citations) and Parasitology (24 citations). Aurel Cami has collaborated with scholars based in United States and Australia. Frequent co-authors include Ben Y. Reis, Shannon Manzi, Alana Arnold, Kenneth D. Mandl, Narsingh Deo, Ahmet E. Topcu, Geoffrey Fox, Mei-Sing Ong, Adrian Zai and Theodore A. Stern. Their work appears in journals such as BMC Medical Informatics and Decision Making, Clinical Infectious Diseases, Science Translational Medicine, Drug Safety 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.