John E. Newby

452 citations
24 papers · 323 · h-index 11

Impact in

    • Species Distribution and Climate Change
  • Ecology top 10%
    • Wildlife Ecology and Conservation
    • Avian ecology and behavior

Papers in

John E. Newby

22 papers receiving 298 citations

Peers

John E. Newby
Comparison fields: 5 of 57
  • Ecological Modeling 64
  • Ecology 214
  • Management, Monitoring, Policy and Law 71
  • Forestry 18
  • Small Animals 25
Replace Laurence H. Watson with:
Laurence H. Watson South Africa
Frauke Fischer Germany
Valério A. Macandza South Africa
Badamjav Lhagvasuren Mongolia
Badamjav Lkhagvasuren United States
Sophie Grange France
Hadrien Vanthomme United States
Adiya Yadamsuren Austria
Bibhuti Prasad Lahkar India
Fabrice Hibert France
John E. Newby relative to Laurence H. Watson South Africa Laurence H. Watson's profile →
Citations per field
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Laurence H. Watson · 1×
Citations per year

Countries citing papers authored by John E. Newby

Since Specialization
Citations

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

Fields of papers citing papers by John E. Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Newby. 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 John E. Newby. The network helps show where John E. Newby may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201934
3 201032
4 201429
5 198626
6 198017
7 199017
8 201314
9 202014
10 201314
11 197813
12 19868
13 19978
14 20227
15 20145
16 20144
17 20224
18 19973
19 19922
20 20052

About John E. Newby

John E. Newby is a scholar working on Management, Monitoring, Policy and Law, Forestry, Ecology, Food Science and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 323 indexed citations. Recurring topics across this work include Rangeland Management and Livestock Ecology (12 papers), Wildlife Ecology and Conservation (10 papers), Animal Diversity and Health Studies (6 papers), Agriculture and Rural Development Research (6 papers), African Botany and Ecology Studies (6 papers), Primate Behavior and Ecology (3 papers), Genetic diversity and population structure (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Ecological Modeling (64 citations), Ecology (214 citations), Management, Monitoring, Policy and Law (71 citations), Forestry (18 citations) and Small Animals (25 citations). John E. Newby has collaborated with scholars based in United Kingdom, United States and United Arab Emirates. Frequent co-authors include Tim Wacher, Steven Monfort, Peter J. Stephenson, Jared A. Stabach, Peter Leimgruber, Melissa Songer, Nathalie Pettorelli, Teresa Luísa Silva, Conrad A. Matthee and Helen Senn. Their work appears in journals such as Oryx, Movement Ecology, PLoS ONE, Frontiers in Ecology and Evolution and Biological Conservation.

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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