Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Plant trait responses to grazing – a global synthesis
2006883 citationsSandra Dı́az, Sandra Lavorel et al.Global Change Biologyprofile →
This map shows the geographic impact of H. Clark'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 H. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Clark more than expected).
This network shows the impact of papers produced by H. Clark. 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 H. Clark. The network helps show where H. Clark may publish in the future.
Co-authorship network of co-authors of H. Clark
This figure shows the co-authorship network connecting the top 25 collaborators of H. Clark.
A scholar is included among the top collaborators of H. Clark 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 H. Clark. H. Clark is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Clark, H., et al.. (2008). Comparative methane emissions from cattle, red deer and sheep. Proceedings of the New Zealand Society of Animal Production. 68. 59–62.9 indexed citations
6.
Pérez‐Martín, Ricardo I., et al.. (2008). A versatile sheep respiration chamber system for measurement of methane emission. Proceedings of the New Zealand Society of Animal Production. 68. 29–30.6 indexed citations
Gc, Waghorn, et al.. (2007). Monensin controlled release capsules for improved production and mitigating methane in dairy cows fed pasture. Proceedings of the New Zealand Society of Animal Production. 67. 266–271.7 indexed citations
9.
Clark, H., et al.. (2007). Effect of age on methane emissions of red deer stags from weaning until one year of age grazing perennial ryegrass-based pasture : Brief Communication. Proceedings of the New Zealand Society of Animal Production. 67. 276–279.1 indexed citations
Dı́az, Sandra, Sandra Lavorel, S. McIntyre, et al.. (2006). Plant trait responses to grazing – a global synthesis. Global Change Biology. 13(2). 313–341.883 indexed citations breakdown →
12.
Clark, H., et al.. (2006). Methane emissions from growing beef cattle grazing hill country pasture. Proceedings of the New Zealand Society of Animal Production. 66. 172–175.13 indexed citations
13.
Clark, H., et al.. (2005). Factors affecting methane production in Friesian x Jersey dairy cattle. Proceedings of the New Zealand Society of Animal Production. 65. 352–355.1 indexed citations
14.
Clark, H., et al.. (2005). Validation of the double ?-alkane technique to estimate the dry matter intake of red deer fed fresh ryegrass-based pasture or plantain. Proceedings of the New Zealand Society of Animal Production. 65. 23–28.2 indexed citations
15.
Clark, H., et al.. (2005). The effect of SF6 release rate, animal species and feeding conditions on estimates of methane emissions from ruminants. Proceedings of the New Zealand Society of Animal Production. 65. 3–8.9 indexed citations
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.