Ned Horning

2.8k total citations · 1 hit paper
32 papers, 1.7k citations indexed

About

Ned Horning is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ned Horning has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 10 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Ned Horning's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers) and Wildlife Ecology and Conservation (6 papers). Ned Horning is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers) and Wildlife Ecology and Conservation (6 papers). Ned Horning collaborates with scholars based in United States, Germany and Australia. Ned Horning's 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 and has published in prestigious journals such as Nature, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Ned Horning

31 papers receiving 1.6k citations

Hit Papers

Life history and spatial traits predict extinction risk d... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ned Horning United States 17 891 830 582 513 290 32 1.7k
Mathieu Marmion Finland 14 970 1.1× 1.4k 1.7× 795 1.4× 353 0.7× 371 1.3× 15 2.0k
Nicolas Titeux Belgium 20 951 1.1× 784 0.9× 723 1.2× 492 1.0× 411 1.4× 36 1.8k
Marco Girardello Finland 22 783 0.9× 493 0.6× 588 1.0× 499 1.0× 256 0.9× 46 1.5k
Emilio Padoa‐Schioppa Italy 32 1.3k 1.5× 881 1.1× 792 1.4× 1.2k 2.4× 362 1.2× 74 2.4k
Kimberly P. Van Niel Australia 18 1.2k 1.3× 1.0k 1.3× 906 1.6× 686 1.3× 356 1.2× 21 2.4k
William B. Monahan United States 22 1.1k 1.3× 1.2k 1.5× 811 1.4× 754 1.5× 418 1.4× 37 2.3k
Eren Turak Australia 23 1.2k 1.4× 884 1.1× 864 1.5× 513 1.0× 271 0.9× 44 2.2k
Michael P. Nobis Switzerland 25 934 1.0× 1.0k 1.2× 1.2k 2.0× 611 1.2× 757 2.6× 56 2.4k
Michael B. Ashcroft Australia 22 803 0.9× 996 1.2× 771 1.3× 523 1.0× 518 1.8× 45 2.0k
John P. Haskell United States 11 1.1k 1.3× 469 0.6× 686 1.2× 313 0.6× 505 1.7× 11 1.8k

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
1.
Horning, Ned, et al.. (2025). Low-cost, LoRa GNSS tracker for wildlife monitoring. HardwareX. 23. e00669–e00669.
2.
McCarter, Joe, Georgina Cullman, Erin Betley, et al.. (2023). Exploring Changes in Foodscapes in Western Province, Solomon Islands. Human Ecology. 51(3). 483–496. 3 indexed citations
3.
Zhang, Kebin, et al.. (2022). CONFLICT-INDUCED DEFORESTATION DETECTION IN AFRICAN CÔTE D’IVOIRE USING LANDSAT IMAGES AND RANDOM FOREST ALGORITHM: A CASE IN MOUNT PEKO NATIONAL PARK. Applied Ecology and Environmental Research. 20(3). 2035–2058. 3 indexed citations
4.
Blair, Mary E., Minh Đức Lê, Zhijin Liu, et al.. (2021). Karst as an abiotic driver of François’ langur distribution, with predictions for biological communities on karst under climate change. Frontiers of Biogeography. 14(1). 11 indexed citations
5.
Leutner, Benjamin, et al.. (2019). Tools for Remote Sensing Data Analysis [R package RStoolbox version 0.2.6]. 19 indexed citations
6.
Wenger, Amelia, Scott Atkinson, Talitha Santini, et al.. (2018). Predicting the impact of logging activities on soil erosion and water quality in steep, forested tropical islands. Environmental Research Letters. 13(4). 44035–44035. 36 indexed citations
7.
Pelletier, Johanne, et al.. (2018). Anticipating social equity impacts in REDD+ policy design: An example from the Democratic Republic of Congo. Land Use Policy. 75. 102–115. 24 indexed citations
8.
Horning, Ned, et al.. (2017). Losing a jewel—Rapid declines in Myanmar’s intact forests from 2002-2014. PLoS ONE. 12(5). e0176364–e0176364. 92 indexed citations
9.
Connette, Grant M., et al.. (2016). Assessment of Mining Extent and Expansion in Myanmar Based on Freely-Available Satellite Imagery. Remote Sensing. 8(11). 912–912. 52 indexed citations
10.
Leutner, Benjamin & Ned Horning. (2015). Tools for Remote Sensing Data Analysis. 9 indexed citations
11.
Horning, Ned, et al.. (2014). Adding structure to land cover – using fractional cover to study animal habitat use. Movement Ecology. 2(1). 26–26. 9 indexed citations
12.
Pearson, Richard G., Jessica C. Stanton, Kevin T. Shoemaker, et al.. (2014). Life history and spatial traits predict extinction risk due to climate change. Nature Climate Change. 4(3). 217–221. 324 indexed citations breakdown →
13.
Beck, Pieter S. A., Ned Horning, S. J. Goetz, M. M. Loranty, & Ken D. Tape. (2011). Shrub Cover on the North Slope of Alaska: a circa 2000 Baseline Map. Arctic Antarctic and Alpine Research. 43(3). 355–363. 43 indexed citations
14.
Horning, Ned, et al.. (2010). Remote Sensing for Ecology and Conservation. Oxford University Press eBooks. 136 indexed citations
15.
Raxworthy, Christopher J., Enrique Martínez‐Meyer, Ned Horning, et al.. (2003). Predicting distributions of known and unknown reptile species in Madagascar. Nature. 426(6968). 837–841. 443 indexed citations
16.
17.
Nelson, R. & Ned Horning. (1993). AVHRR-LAC estimates of forest area in Madagascar, 1990. International Journal of Remote Sensing. 14(8). 1463–1475. 67 indexed citations
18.
Leidecker, Henning, et al.. (1988). Goniometric Observations Of Light Scattered From Soils And Leaves. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 927. 161–161. 5 indexed citations
19.
Nelson, Ross, Ned Horning, & T. A. STONE. (1987). Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR data. International Journal of Remote Sensing. 8(12). 1767–1784. 36 indexed citations
20.
Horning, Ned, et al.. (1986). A determination of sampling intensity to characterize a Landsat MSS scene using two block sizes. NASA Technical Reports Server (NASA). 32(7). 11107–11122. 1 indexed citations

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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