Nick Brown

63 papers receiving 2.3k citations

Peers

Nick Brown
Comparison fields: 5 of 111
  • Nature and Landscape Conservation 1.4k
  • Global and Planetary Change 923
  • Ecology 816
  • Ecology, Evolution, Behavior and Systematics 636
  • Plant Science 491
Replace Sammya D’Angelo with:
Sammya D’Angelo Brazil
Diego R. Pérez‐Salicrup Mexico
P. Mark S. Ashton United States
Henrique Eduardo Mendonça Nascimento Brazil
Márcia C. M. Marques Brazil
Mark Schulze United States
Gary S. Hartshorn United States
Neptalí Ramírez‐Marcial Mexico
Jean‐Philippe Puyravaud India
Joseph W. Veldman United States
Nick Brown relative to Sammya D’Angelo Brazil Sammya D’Angelo's profile →
Citations per field
00.5×1.5×2.2×
Sammya D’Angelo · 1×
Citations per year

Countries citing papers authored by Nick Brown

Since Specialization
Citations

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

Fields of papers citing papers by Nick Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Brown. A scholar is included among the top collaborators of Nick Brown 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 Nick Brown. Nick Brown 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 0
2 0
3 29
4 44
5 19
6 30
7 4
8 24
9 11
10 18
11 29
12
Dynamics of tropical communities : the 37th Symposium of the British Ecological Society, Cambridge University, 1996
21
13 15
14
The impact of traditional and modern cultivation practices, including forestry, on lepidoptera diversity in Malaysia and Indonesia.
23
15 76
16 76
17 137
18 11
19 124
20
Logging rain forests the natural way
4

About Nick Brown

Nick Brown is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Forestry, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (29 papers), Conservation, Biodiversity, and Resource Management (13 papers) and Forest ecology and management (11 papers). The work is most often cited by research in Nature and Landscape Conservation (1.4k citations), Forestry (276 citations) and Ecological Modeling (189 citations). Nick Brown has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include T. C. Whitmore, Shonil Bhagwat, David M. Newbery, H.H.T. Prins, C.G. Kushalappa, Steve Jennings, Fred Babweteera, Sarah C. Watkinson, Malcolm C. Press and Paul H. Williams. Their work appears in journals such as Trends in Ecology & Evolution, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society B Biological Sciences.

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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