G. E. Archer
- Environmental Engineering top 10%
- Civil and Structural Engineering top 10%
- Statistics and Probability top 10%
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- Advanced Multi-Objective Optimization Algorithms 1
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- Image and Signal Denoising Methods 1
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- Sparse and Compressive Sensing Techniques 1
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- Pluripotent Stem Cells Research 1
- Gene Regulatory Network Analysis 1
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- Bayesian Methods and Mixture Models 1
- Bayesian Modeling and Causal Inference 1
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- Carcinogens and Genotoxicity Assessment 1
- Co-authors
- Andrea SaltelliI. M. SobolD. M. TitteringtonP. W. LanePeter J. BugelskiRichard ClothierKarine BigotSusanne Bremer
- Cited by
- Statistics, Probability and UncertaintyEnvironmental EngineeringCivil and Structural Engineering
- Journals
- BioTechniques (1 paper)Journal of Statistical Planning and Inference (1 paper)Skin Pharmacology and Physiology (1 paper)
- Partner nations
- United KingdomItalyBelgium
In The Last Decade
G. E. Archer
6 papers receiving 518 citations
Peers
Comparison fields: 5 of 115
- Statistics, Probability and Uncertainty 211
- Environmental Engineering 87
- Civil and Structural Engineering 90
- Statistics and Probability 28
- Computational Theory and Mathematics 44
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-authorship network
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 | 2002 | 25 | |
| 2 | 2001 | 45 | |
| 3 | 2000 | 9 | |
| 4 | 1999 | 28 | |
| 5 | 1997 | 387 | |
| 6 | 1995 | 56 |
About G. E. Archer
G. E. Archer is a scholar working on Statistics, Probability and Uncertainty, Immunology and Allergy and Statistics and Probability, having authored 6 papers that have together received 550 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Pluripotent Stem Cells Research (1 paper), Bayesian Methods and Mixture Models (1 paper), Bayesian Modeling and Causal Inference (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (211 citations), Environmental Engineering (87 citations) and Civil and Structural Engineering (90 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, P. W. Lane, Peter J. Bugelski, Richard Clothier, Karine Bigot, Susanne Bremer, Jan de Lange and Claudia Rona. Their work appears in journals such as BioTechniques, Journal of Statistical Planning and Inference, Skin Pharmacology and Physiology, Journal of Statistical Computation and Simulation and Toxicology in Vitro.
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.