David L. Swain

4.0k citations
65 papers · 3.0k indexed · 1 hit paper · h-index 25
Topics
Animal Behavior and Welfare Studies (28 papers)Genetic and phenotypic traits in livestock (22 papers)Wildlife Ecology and Conservation (15 papers)

In The Last Decade

David L. Swain

64 papers receiving 2.9k citations

Hit Papers

An n-alkane proxy for the sedimentary input of submerged/...200020262008201720004008001.2k

Peers

David L. Swain
Comparison fields: 5 of 149
  • Atmospheric Science 1.3k
  • Ecology 939
  • Mechanics of Materials 576
  • Small Animals 489
  • Animal Science and Zoology 353
Replace François Fournier with:
François Fournier France
Michael A. Kaminski Saudi Arabia
Willem Bouten Netherlands
David R. Gray Australia
Peter A. Jumars United States
Dana L. Thomas United States
Alexander R. Schmidt Germany
Christopher J. Still United States
Eileen E. Hofmann United States
J. Herrero Spain
David L. Swain relative to François Fournier France François Fournier's profile →
Citations per field
00.5×7.1×
François Fournier · 1×
Citations per year

Countries citing papers authored by David L. Swain

Since Specialization
Citations

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

Fields of papers citing papers by David L. Swain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Swain. 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 David L. Swain. The network helps show where David L. Swain may publish in the future.

Co-authorship network of co-authors of David L. Swain

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 7
4 14
5 5
6 16
7 15
8 19
9 8
10 58
11 39
12 15
13 1
14 9
15 62
16 35
17
Modelling systems variation using non-linear methods to describe grazing processes.
1
18
An n-alkane proxy for the sedimentary input of submerged/floating freshwater aquatic macrophytesbreakdown →
1338
19 41
20 1

About David L. Swain

David L. Swain is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (28 papers), Genetic and phenotypic traits in livestock (22 papers) and Wildlife Ecology and Conservation (15 papers). The work is most often cited by research in Atmospheric Science (1.3k citations), Small Animals (489 citations) and Earth-Surface Processes (275 citations). David L. Swain has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Katherine J. Ficken, G. Eglinton, Greg Bishop-Hurley, F. Alayne Street‐Perrott, Mark Trotter, Eloise S. Fogarty, G. M. Cronin, Tim Wark, G. Eglinton and Matthew J. Wooller. Their work appears in journals such as Science, Animal Behaviour and Journal of Theoretical Biology.

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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