C.C. Palliser

477 citations
20 papers · 420 · h-index 10

Impact in

Papers in

C.C. Palliser

19 papers receiving 403 citations

Peers

C.C. Palliser
Comparison fields: 5 of 77
  • Agronomy and Crop Science 124
  • Environmental Chemistry 95
  • Filtration and Separation 19
  • Forestry 29
  • Environmental Engineering 77
Replace Maninder P. Singh with:
Maninder P. Singh United States
R. J. Gummerson United States
Michael Stanley United States
J.A. Baars New Zealand
Asami Nakanishi Japan
I. A. Watson Australia
Himanshu Shrivastava India
Jacob S. Jordan United States
Jacqueline A. Townsend United States
David White Australia
C.C. Palliser relative to Maninder P. Singh United States Maninder P. Singh's profile →
Citations per field
00.5×5.3×
Maninder P. Singh · 1×
Citations per year

Countries citing papers authored by C.C. Palliser

Since Specialization
Citations

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

Fields of papers citing papers by C.C. Palliser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside C.C. Palliser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.C. Palliser Line = papers co-authored together C.C. Palliser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200874
2 199862
3 200051
4 199844
5 200942
6 199840
7 200720
8 201316
9 200515
10 20129
11 20029
12
Using Models to Predict Methane Reduction in Pasture- Fed Dairy Cows
20029
13 20087
14 20056
15 20005
16 20183
17 20183
18 20022
19
Applying differential evolution to a whole-farm model to assist optimal strategic decision making
20052
20 20051

About C.C. Palliser

C.C. Palliser is a scholar working on Agronomy and Crop Science, Molecular Biology, Environmental Chemistry, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 420 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (6 papers), Genetic and phenotypic traits in livestock (3 papers), Reproductive Physiology in Livestock (3 papers), Soil and Water Nutrient Dynamics (2 papers), Agricultural Systems and Practices (2 papers), Phase Equilibria and Thermodynamics (2 papers), Protein Structure and Dynamics (2 papers) and Milk Quality and Mastitis in Dairy Cows (2 papers). The work is most often cited by research in Agronomy and Crop Science (124 citations), Environmental Chemistry (95 citations), Filtration and Separation (19 citations), Forestry (29 citations) and Environmental Engineering (77 citations). C.C. Palliser has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Robert McKibbin, David Parry, M.D. Hanigan, Pablo Gregorini, Meryl E. Wastney, Pierre Beukes, K.A. Macdonald, B.S. Thorrold, J.A.S. Lancaster and G. Levy. Their work appears in journals such as Transport in Porous Media, Journal of Dairy Science, Proteins Structure Function and Bioinformatics, New Zealand Journal of Agricultural Research and Journal of Environmental Management.

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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