R. J. Martin
- Plant Science top 5%
- Management Science and Operations Research top 2%
- Statistics and Probability top 1%
- Economics and Econometrics top 5%
- Agronomy and Crop Science top 2%
- Co-authors
- P. D. JamiesonG. S. FrancisJ. A. EcclestonD.R. WilsonJoachim KunertNancy J. BrownGeoffrey P. SavageWilliam R. Beam
- Topics
- Optimal Experimental Design Methods (29 papers)Crop Yield and Soil Fertility (9 papers)Stochastic processes and statistical mechanics (9 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchAgronomy and Crop Science
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
R. J. Martin
125 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 162
- Plant Science 541
- Management Science and Operations Research 361
- Statistics and Probability 263
- Economics and Econometrics 256
- Agronomy and Crop Science 254
Countries citing papers authored by R. J. Martin
This map shows the geographic impact of R. J. Martin'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 R. J. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. J. Martin more than expected).
Fields of papers citing papers by R. J. Martin
This network shows the impact of papers produced by R. J. Martin. 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 R. J. Martin. The network helps show where R. J. Martin may publish in the future.
Co-authorship network of co-authors of R. J. Martin
This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Martin. A scholar is included among the top collaborators of R. J. Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. J. Martin. R. J. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 25 | |
| 3 | 17 | |
| 4 | 15 | |
| 5 | Effect of timing and intensity of drought on the seed yield of white clover (Trifolium repens L.). | 3 |
| 6 | Optimal and near-optimal designs for dependent observations | 5 |
| 7 | Phenotypic heterogeneity in a United Kingdom CADASIL prevalence study | 1 |
| 8 | Screening of British CADASIL families for NOTCH 3 mutations | 1 |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 119 | |
| 12 | Early childhood asthma: What are the questions? | 8 |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 51 | |
| 17 | 27 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | Effect of sowing date and harvest date on yields of irrigated sugar beet and fodder beet on 2 soil types in Canterbury | 6 |
About R. J. Martin
R. J. Martin is a scholar working on Statistics and Probability, Management Science and Operations Research and Agronomy and Crop Science, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (29 papers), Crop Yield and Soil Fertility (9 papers) and Stochastic processes and statistical mechanics (9 papers). The work is most often cited by research in Statistics and Probability (263 citations), Management Science and Operations Research (361 citations) and Agronomy and Crop Science (254 citations). R. J. Martin has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include P. D. Jamieson, G. S. Francis, J. A. Eccleston, D.R. Wilson, Joachim Kunert, Nancy J. Brown, Geoffrey P. Savage, William R. Beam, Lanny J. Rosenwasser and J J Mascali. Their work appears in journals such as The Journal of Chemical Physics, Environmental Science & Technology and Applied Physics Letters.
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.