G. E. Archer
Impact in
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- Probabilistic and Robust Engineering Design
- Environmental Engineering top 10%
- Groundwater flow and contamination studies
Papers in
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- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Bioinformatics and Genomic Networks 1
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- Probabilistic and Robust Engineering Design 1
- Co-authors
- Andrea Saltelli (1 shared paper)I. M. Sobol (1 shared paper)D. M. Titterington (2 shared papers)Peter J. Bugelski (1 shared paper)P. W. Lane (1 shared paper)Karine Bigot (1 shared paper)Richard Clothier (1 shared paper)Susanne Bremer (1 shared paper)
- Journals
- BioTechniques (1 paper)Journal of Statistical Computation and Simulation (1 paper)IEEE Transactions on Image Processing (1 paper)Toxicology in Vitro (1 paper)Journal of Statistical Planning and Inference (1 paper)
- Partner nations
- United KingdomItalyBelgium
In The Last Decade
G. E. Archer
6 papers receiving 562 citations
Peers
Comparison fields: 5 of 117
- Statistics, Probability and Uncertainty 220
- Environmental Engineering 91
- Civil and Structural Engineering 94
- Statistics and Probability 30
- Computational Theory and Mathematics 52
Countries citing papers authored by G. E. Archer
This map shows the geographic impact of G. E. Archer'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 G. E. Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. E. Archer more than expected).
Fields of papers citing papers by G. E. Archer
This network shows the impact of papers produced by G. E. Archer. 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 G. E. Archer. The network helps show where G. E. Archer may publish in the future.
Co-authors
The 12 scholars most cited alongside G. E. Archer, 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 | 1997 | 410 | |
| 2 | 1995 | 61 | |
| 3 | 2001 | 50 | |
| 4 | 1999 | 35 | |
| 5 | 2002 | 30 | |
| 6 | 2000 | 9 |
About G. E. Archer
G. E. Archer is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Dermatology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 6 papers that have together received 595 indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (1 paper), Contact Dermatitis and Allergies (1 paper), Gene expression and cancer classification (1 paper), Bayesian Modeling and Causal Inference (1 paper), Pluripotent Stem Cells Research (1 paper), Image and Signal Denoising Methods (1 paper), Bioinformatics and Genomic Networks (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (220 citations), Environmental Engineering (91 citations), Civil and Structural Engineering (94 citations), Statistics and Probability (30 citations) and Computational Theory and Mathematics (52 citations). G. E. Archer has collaborated with scholars based in United Kingdom, Italy and Belgium. Frequent co-authors include Andrea Saltelli, I. M. Sobol, D. M. Titterington, Peter J. Bugelski, P. W. Lane, Karine Bigot, Richard Clothier, Susanne Bremer, Jan de Lange and Claudia Rona. Their work appears in journals such as BioTechniques, Journal of Statistical Computation and Simulation, IEEE Transactions on Image Processing, Toxicology in Vitro and Journal of Statistical Planning and Inference.
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.