Ivan E. Auger
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Advanced Statistical Process Monitoring
Papers in
-
- Protein Structure and Dynamics 3
- Fractal and DNA sequence analysis 1
- Co-authors
- Charles E. Lawrence (3 shared papers)Charles Lawrence (2 shared papers)Victor De Gruttola (1 shared paper)Benedict I. Truman (1 shared paper)R Williams (1 shared paper)Dirk F. Moore (1 shared paper)Dale L. Morse (1 shared paper)Barbara Lindau‐Shepard (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (1 paper)BIT Numerical Mathematics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Computer applications in the biosciences (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United States
In The Last Decade
Ivan E. Auger
11 papers receiving 503 citations
Peers
Comparison fields: 5 of 98
- Virology 86
- Statistics, Probability and Uncertainty 76
- Statistics and Probability 55
- Infectious Diseases 81
- Signal Processing 15
Countries citing papers authored by Ivan E. Auger
This map shows the geographic impact of Ivan E. Auger'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 Ivan E. Auger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan E. Auger more than expected).
Fields of papers citing papers by Ivan E. Auger
This network shows the impact of papers produced by Ivan E. Auger. 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 Ivan E. Auger. The network helps show where Ivan E. Auger may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan E. Auger, 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 | 1989 | 237 | |
| 2 | 1988 | 167 | |
| 3 | 1998 | 42 | |
| 4 | 1998 | 33 | |
| 5 | 2000 | 22 | |
| 6 | 1987 | 19 | |
| 7 | 2006 | 5 | |
| 8 | 1985 | 4 | |
| 9 | 1990 | 3 | |
| 10 | 1997 | 2 | |
| 11 | 1999 | 2 |
About Ivan E. Auger
Ivan E. Auger is a scholar working on Molecular Biology, Biochemistry, Physiology, Reproductive Medicine and Computational Theory and Mathematics, having authored 11 papers that have together received 536 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Syphilis Diagnosis and Treatment (2 papers), Hypothalamic control of reproductive hormones (1 paper), HIV/AIDS Research and Interventions (1 paper), Fungal Infections and Studies (1 paper), Logic, programming, and type systems (1 paper), Fractal and DNA sequence analysis (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Virology (86 citations), Statistics, Probability and Uncertainty (76 citations), Statistics and Probability (55 citations), Infectious Diseases (81 citations) and Signal Processing (15 citations). Ivan E. Auger has collaborated with scholars based in United States. Frequent co-authors include Charles E. Lawrence, Charles Lawrence, Victor De Gruttola, Benedict I. Truman, R Williams, Dirk F. Moore, Dale L. Morse, Barbara Lindau‐Shepard, James A. Dias and Carmen A. Mannella. Their work appears in journals such as Bulletin of Mathematical Biology, BIT Numerical Mathematics, Proteins Structure Function and Bioinformatics, Computer applications in the biosciences and Infection and Immunity.
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.