C. G. McLaren

592 citations
15 papers · 437 indexed · h-index 8
Topics
Rice Cultivation and Yield Improvement (6 papers)Statistics Education and Methodologies (2 papers)Genetics and Plant Breeding (2 papers)

In The Last Decade

C. G. McLaren

14 papers receiving 400 citations

Peers

C. G. McLaren
Comparison fields: 5 of 43
  • Plant Science 394
  • Genetics 158
  • Agronomy and Crop Science 56
  • Ecology, Evolution, Behavior and Systematics 36
  • Molecular Biology 33
Replace A. K. Sarial with:
A. K. Sarial India
H. Yamagata Japan
B. J. Read Australia
Márcio Balestre Brazil
N. P. Mandal India
Deming Jin China
C. H. M. Vijayakumar Philippines
M. M. Verma India
Sarah Collinson United Kingdom
DJ Luckett Australia
C. G. McLaren relative to A. K. Sarial India A. K. Sarial's profile →
Citations per field
00.5×1.5×2.5×
A. K. Sarial · 1×
Citations per year

Countries citing papers authored by C. G. McLaren

Since Specialization
Citations

This map shows the geographic impact of C. G. McLaren'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 C. G. McLaren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. G. McLaren more than expected).

Fields of papers citing papers by C. G. McLaren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. G. McLaren. 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 C. G. McLaren. The network helps show where C. G. McLaren may publish in the future.

Co-authorship network of co-authors of C. G. McLaren

This figure shows the co-authorship network connecting the top 25 collaborators of C. G. McLaren. A scholar is included among the top collaborators of C. G. McLaren 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 C. G. McLaren. C. G. McLaren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 77
2
Delayed planting of rainfed lowland rice in areas with short-season rains.
0
3 30
4 13
5 42
6 97
7
Techniques for field screening of Musa germplasm.
5
8
Old and new tools to analyze genotype X environment interactions : impact on upland rice breeding
1
9
Methods of data standardization used in pattern analysis and AMMI models for the analysis of international multi-environment variety trials.
3
10
Using simulation models to design new plant types and to analyse genotype by environment interactions in rice.
7
11
Spatial heterogeneity in rainfed lowland rice
1
12
Analysis of multi-environment trials - an historical perspective.
146
13
The importance of environmental characterization for understanding genotype by environment interactions.
7
14 1
15 7

About C. G. McLaren

C. G. McLaren is a scholar working on Statistics and Probability, Plant Science and Soil Science, having authored 15 papers that have together received 437 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (6 papers), Statistics Education and Methodologies (2 papers) and Genetics and Plant Breeding (2 papers). The work is most often cited by research in Plant Science (394 citations), Genetics (158 citations) and Agronomy and Crop Science (56 citations). C. G. McLaren has collaborated with scholars based in Philippines, India and Bangladesh. Frequent co-authors include I. H. DeLacy, K. E. Basford, Richard Bruskiewich, Arllet Portugal, Len J. Wade, Dome Harnpichitvitaya, S. Sarkarung, S. Rajatasereekul, Arvind Kumar and A. K. Singh. Their work appears in journals such as Bioinformatics, PLANT PHYSIOLOGY and Field Crops Research.

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.

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2026