G. H. Freeman
Impact in
- Agronomy and Crop Science top 0.5%
- Agronomic Practices and Intercropping Systems
- Crop Yield and Soil Fertility
- Soil Science top 1%
- Soil Carbon and Nitrogen Dynamics
Papers in
-
- Optimal Experimental Design Methods 19
- Co-authors
- K. A. GomezÁ. GómezScott E. MaxwellHarold D. DelaneyJohn H. HaltonBenjamin J. CowlingC. Mary SchoolingThomas P. Hettmansperger
- Journals
- Biometrics (15 papers)Annals of Applied Biology (12 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (9 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (5 papers)Heredity (4 papers)
- Partner nations
- United KingdomHong KongUnited States
In The Last Decade
G. H. Freeman
94 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Agronomy and Crop Science 782
- Soil Science 696
- Plant Science 2.6k
- Statistics and Probability 461
- Endocrinology, Diabetes and Metabolism 523
Countries citing papers authored by G. H. Freeman
This map shows the geographic impact of G. H. Freeman'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. H. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. H. Freeman more than expected).
Fields of papers citing papers by G. H. Freeman
This network shows the impact of papers produced by G. H. Freeman. 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. H. Freeman. The network helps show where G. H. Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside G. H. Freeman, 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 | 2016 | 11 | |
| 2 | 2013 | 23 | |
| 3 | Testosterone therapy and cardiovascular events among men: a systematic review and meta-analysis of placebo-controlled randomized trials Hit paper breakdown → | 2013 | 400 |
| 4 | 2013 | 132 | |
| 5 | 2013 | 7 | |
| 6 | 2013 | 155 | |
| 7 | 2011 | 22 | |
| 8 | Are Soccer Matches Badly Designed Experiments | 2008 | 1 |
| 9 | 2007 | 26 | |
| 10 | 2007 | 55 | |
| 11 | 1998 | 30 | |
| 12 | 1988 | 5 | |
| 13 | 1979 | 26 | |
| 14 | 1976 | 60 | |
| 15 | 1971 | 15 | |
| 16 | 1970 | 7 | |
| 17 | 1969 | 8 | |
| 18 | 1968 | 9 | |
| 19 | 1966 | 6 | |
| 20 | 1957 | 4 |
About G. H. Freeman
G. H. Freeman is a scholar working on Horticulture, Management Science and Operations Research, Forestry, Plant Science and Agronomy and Crop Science, having authored 100 papers that have together received 7.3k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (19 papers), graph theory and CDMA systems (10 papers), Genetics and Plant Breeding (8 papers), Genetic and phenotypic traits in livestock (5 papers), Influenza Virus Research Studies (4 papers), Insect behavior and control techniques (4 papers), Insect Pest Control Strategies (4 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Agronomy and Crop Science (782 citations), Soil Science (696 citations), Plant Science (2.6k citations), Statistics and Probability (461 citations) and Endocrinology, Diabetes and Metabolism (523 citations). G. H. Freeman has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include K. A. Gomez, Á. Gómez, Scott E. Maxwell, Harold D. Delaney, John H. Halton, Benjamin J. Cowling, C. Mary Schooling, Thomas P. Hettmansperger, Lin Xu and Jean M Perkins. Their work appears in journals such as Biometrics, Annals of Applied Biology, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the Royal Statistical Society Series C (Applied Statistics) and Heredity.
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.