Peter Hayman

58 papers receiving 1.2k citations

Peers

Peter Hayman
Comparison fields: 5 of 99
  • Agronomy and Crop Science 260
  • Forestry 101
  • Ecology, Evolution, Behavior and Systematics 439
  • Soil Science 189
  • General Agricultural and Biological Sciences 163
Replace David Gobbett with:
David Gobbett Australia
Olivier Crespo South Africa
Julie Ryschawy France
A. O. Skjelvåg Norway
Munir Hoffmann Germany
Neal Dalgliesh Australia
M. A. Foale Australia
D. Thomas Australia
L.G.J. van Bussel Netherlands
Jerzy Kozyra Poland
Peter Hayman relative to David Gobbett Australia David Gobbett's profile →
Citations per field
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David Gobbett · 1×
Citations per year

Countries citing papers authored by Peter Hayman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Hayman, 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 Peter Hayman Line = papers co-authored together Peter Hayman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002128
2 2021123
3 2016117
4 201086
5 201869
6 200766
7 201858
8 202040
9 199938
10 200238
11 200332
12 201232
13 201029
14 202025
15 201524
16 201824
17
Decision support systems in Australian dryland farming: a promising past, a disappointing present and uncertain future.
200421
18 201920
19 201918
20 202218

About Peter Hayman

Peter Hayman is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Plant Science, Agronomy and Crop Science and Ecology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Climate change impacts on agriculture (27 papers), Climate variability and models (11 papers), Pasture and Agricultural Systems (9 papers), Crop Yield and Soil Fertility (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Horticultural and Viticultural Research (6 papers), Agricultural risk and resilience (5 papers) and Agriculture Sustainability and Environmental Impact (5 papers). The work is most often cited by research in Agronomy and Crop Science (260 citations), Forestry (101 citations), Ecology, Evolution, Behavior and Systematics (439 citations), Soil Science (189 citations) and General Agricultural and Biological Sciences (163 citations). Peter Hayman has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Víctor O. Sadras, Dean Holzworth, R. A. Nelson, Graeme Hammer, Jason Crean, Kevin A. Parton, Daniel Rodrı́guez, John D. Mullen, Clair Alston‐Knox and Holger Meinke. Their work appears in journals such as Agricultural Systems, Crop and Pasture Science, Australian Journal of Agricultural and Resource Economics, The Journal of Agricultural Science and Journal of Animal Science and Biotechnology.

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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