J. M. Scott

1.3k citations
57 papers · 945 · h-index 18

Impact in

  • Forestry top 0.2%
    • Pasture and Agricultural Systems
    • Agroforestry and silvopastoral systems
    • Ruminant Nutrition and Digestive Physiology

Papers in

J. M. Scott

53 papers receiving 867 citations

Peers

J. M. Scott
Comparison fields: 5 of 95
  • Forestry 425
  • Agronomy and Crop Science 450
  • Critical Care and Intensive Care Medicine 73
  • Soil Science 127
  • Small Animals 52
Replace Alicia Calle with:
Alicia Calle Spain
J. Milne United States
G. Stakelum Ireland
Robyn Dynes New Zealand
Robyn Cowley Australia
L. P. Hunt Australia
R. G. de Almeida Brazil
Pascal P. d'Hour France
J.W. Stuth United States
Silvia López‐Ortiz Mexico
J. M. Scott relative to Alicia Calle Spain Alicia Calle's profile →
Citations per field
00.5×8.2×
Alicia Calle · 1×
Citations per year

Countries citing papers authored by J. M. Scott

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Scott. 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 J. M. Scott. The network helps show where J. M. Scott may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005159
2
Length of count period as a possible source of bias in estimating bird densities
198150
3 199845
4 201332
5 200832
6 199830
7 200026
8 201325
9 200025
10 201323
11 199122
12 201321
13 201320
14 201320
15 200320
16 198320
17 200019
18 201218
19 201317
20 199717

About J. M. Scott

J. M. Scott is a scholar working on Agronomy and Crop Science, Forestry, Ecology, Evolution, Behavior and Systematics, Environmental Chemistry and Soil Science, having authored 57 papers that have together received 945 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (35 papers), Pasture and Agricultural Systems (33 papers), Agroforestry and silvopastoral systems (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers), Genetic and phenotypic traits in livestock (4 papers), Botany and Plant Ecology Studies (3 papers), Turfgrass Adaptation and Management (3 papers) and Climate change impacts on agriculture (3 papers). The work is most often cited by research in Forestry (425 citations), Agronomy and Crop Science (450 citations), Critical Care and Intensive Care Medicine (73 citations), Soil Science (127 citations) and Small Animals (52 citations). J. M. Scott has collaborated with scholars based in Australia, Ireland and Lesotho. Frequent co-authors include B. H. Cuthbertson, Mary Kilonzo, Luke Vale, Oscar J. Cacho, Fred L. Ramsey, Karl Behrendt, S. P. Boschma, R. D. Murison, K. J. Hutchinson and Graeme Blair. Their work appears in journals such as Animal Production Science, Agricultural Systems, Anaesthesia, Canadian Journal of Animal Science and Soil Use and 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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