Ned Horning

2.8k citations
32 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
Remote Sensing in Agriculture (8 papers)Remote Sensing and LiDAR Applications (6 papers)Wildlife Ecology and Conservation (6 papers)

In The Last Decade

Ned Horning

31 papers receiving 1.6k citations

Hit Papers

Life history and spatial traits predict extinction risk d...20142026201820222014100200300

Peers

Ned Horning
Comparison fields: 5 of 92
  • Ecology 891
  • Ecological Modeling 830
  • Nature and Landscape Conservation 582
  • Global and Planetary Change 513
  • Ecology, Evolution, Behavior and Systematics 290
Replace S. Dury with:
S. Dury United Kingdom
Nicolas Titeux Belgium
Emilio Padoa‐Schioppa Italy
Mao‐Ning Tuanmu United States
Brigitte Poulin France
Roozbeh Valavi Australia
Kimberly P. Van Niel Australia
Michael P. Nobis Switzerland
Geert De Blust Belgium
Xingli Giam United States
Ned Horning relative to S. Dury United Kingdom S. Dury's profile →
Citations per field
00.5×4.1×
S. Dury · 1×
Citations per year

Countries citing papers authored by Ned Horning

Since Specialization
Citations

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

Fields of papers citing papers by Ned Horning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ned Horning

This figure shows the co-authorship network connecting the top 25 collaborators of Ned Horning. A scholar is included among the top collaborators of Ned Horning 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 Ned Horning. Ned Horning 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 3
3 3
4 11
5
Tools for Remote Sensing Data Analysis [R package RStoolbox version 0.2.6]
19
6 36
7 24
8 92
9 52
10
Tools for Remote Sensing Data Analysis
9
11 9
12
Life history and spatial traits predict extinction risk due to climate changebreakdown →
324
13 43
14 136
15 443
16 2
17 67
18 5
19 36
20 1

About Ned Horning

Ned Horning is a scholar working on Ecological Modeling, Ecology and Environmental Engineering, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers) and Wildlife Ecology and Conservation (6 papers). The work is most often cited by research in Ecological Modeling (830 citations), Nature and Landscape Conservation (582 citations) and Ecology (891 citations). Ned Horning has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Christopher J. Raxworthy, Peter J. Ersts, Jessica C. Stanton, H. Reşi̇t Akçakaya, A. Townsend Peterson, Miguel A. Ortega‐Huerta, Enrique Martínez‐Meyer, Ronald A. Nussbaum, R. Nelson and Richard G. Pearson. Their work appears in journals such as Nature, PLoS ONE and Remote Sensing of Environment.

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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