Ryan M. Nielson

3.3k total citations
68 papers, 2.4k citations indexed

About

Ryan M. Nielson is a scholar working on Ecology, Nature and Landscape Conservation and Global and Planetary Change. According to data from OpenAlex, Ryan M. Nielson has authored 68 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ecology, 11 papers in Nature and Landscape Conservation and 10 papers in Global and Planetary Change. Recurrent topics in Ryan M. Nielson's work include Wildlife Ecology and Conservation (43 papers), Rangeland and Wildlife Management (30 papers) and Marine animal studies overview (12 papers). Ryan M. Nielson is often cited by papers focused on Wildlife Ecology and Conservation (43 papers), Rangeland and Wildlife Management (30 papers) and Marine animal studies overview (12 papers). Ryan M. Nielson collaborates with scholars based in United States, Canada and Argentina. Ryan M. Nielson's co-authors include Hall Sawyer, Matthew J. Kauffman, Lyman L. McDonald, Trent L. McDonald, Fred Lindzey, Jon S. Horne, Bryan F. J. Manly, Steven C. Amstrup, Chadwick D. Rittenhouse and Joshua J. Millspaugh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Ryan M. Nielson

66 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Nielson United States 26 2.2k 533 459 285 275 68 2.4k
Briana Abrahms United States 22 1.5k 0.7× 567 1.1× 336 0.7× 363 1.3× 148 0.5× 58 2.0k
Ronny Aanes Norway 28 2.0k 0.9× 308 0.6× 424 0.9× 295 1.0× 539 2.0× 40 2.7k
Geert Aarts Netherlands 22 1.8k 0.8× 803 1.5× 647 1.4× 448 1.6× 164 0.6× 68 2.3k
John Wilmshurst Canada 21 1.6k 0.7× 328 0.6× 606 1.3× 196 0.7× 61 0.2× 45 2.0k
Brage Bremset Hansen Norway 25 1.2k 0.5× 274 0.5× 235 0.5× 286 1.0× 610 2.2× 62 2.0k
Mark S. Lindberg United States 35 2.6k 1.2× 592 1.1× 796 1.7× 350 1.2× 183 0.7× 91 3.0k
David H. Ward United States 28 1.8k 0.8× 564 1.1× 401 0.9× 225 0.8× 181 0.7× 101 2.2k
Martin Vávra United States 30 2.3k 1.0× 722 1.4× 1.1k 2.3× 140 0.5× 148 0.5× 100 3.3k
Michel Crête Canada 34 2.1k 1.0× 312 0.6× 676 1.5× 172 0.6× 233 0.8× 103 2.7k
Hall Sawyer United States 29 2.5k 1.2× 500 0.9× 462 1.0× 349 1.2× 36 0.1× 71 2.8k

Countries citing papers authored by Ryan M. Nielson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Nielson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Nielson. 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 Ryan M. Nielson. The network helps show where Ryan M. Nielson may publish in the future.

Co-authorship network of co-authors of Ryan M. Nielson

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Nielson. A scholar is included among the top collaborators of Ryan M. Nielson 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 Ryan M. Nielson. Ryan M. Nielson 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
2.
Rowland, Mary M., et al.. (2024). Modeling Riparian Use by Cattle – Influence of Management, Season, and Weather. Rangeland Ecology & Management. 98. 419–431.
3.
McDonald, Trent L., Charles R. Greene, Susanna B. Blackwell, et al.. (2023). Detecting changes in the distribution of calling bowhead whales exposed to fluctuating anthropogenic sounds. ˜The œjournal of cetacean research and management. Special issue. 12(1). 91–106. 2 indexed citations
4.
Vales, David J., et al.. (2022). Black‐tailed deer seasonal habitat selection: accounting for missing global positioning system fixes. Journal of Wildlife Management. 86(8). 3 indexed citations
5.
Nielson, Ryan M., et al.. (2020). An abundance estimate of free-roaming horses on the Navajo Nation. Rangeland Ecology & Management. 74. 100–109. 5 indexed citations
6.
Rowland, Mary M., John G. Cook, Bruce K. Johnson, et al.. (2018). Modeling Elk Nutrition and Habitat Use in Western Oregon and Washington. 199(1). 1–69. 44 indexed citations
7.
Nielson, Ryan M., et al.. (2017). Influence of grazing management on resource selection by a small mammal in a temperate desert of South America. Journal of Mammalogy. 98(6). 1768–1779. 10 indexed citations
8.
Beck, Jeffrey L., Gregory D. Johnson, Ryan M. Nielson, et al.. (2017). Greater sage‐grouse male lek counts relative to a wind energy development. SHILAP Revista de lepidopterología. 41(1). 17–26. 13 indexed citations
9.
Nielson, Ryan M., et al.. (2016). Modeling Late-Summer Distribution of Golden Eagles (Aquila chrysaetos) in the Western United States. PLoS ONE. 11(8). e0159271–e0159271. 19 indexed citations
10.
Nielson, Ryan M., et al.. (2014). ESTIMATING MOOSE ABUNDANCE IN LINEAR SUBARCTIC HABITATS IN LOW SNOW CONDITIONS WITH DISTANCE SAMPLING AND A KERNEL ESTIMATOR. Alces : A Journal Devoted to the Biology and Management of Moose. 50. 133–158. 3 indexed citations
11.
Sawyer, Hall, et al.. (2012). A framework for understanding semi‐permeable barrier effects on migratory ungulates. Journal of Applied Ecology. 50(1). 68–78. 130 indexed citations
12.
Nielson, Ryan M., Brian R. Gray, Lyman L. McDonald, & Patricia J. Heglund. (2011). Estimating site occupancy rates for aquatic plants using spatial sub-sampling designs when detection probabilities are less than one. Aquatic Botany. 95(3). 221–225. 4 indexed citations
13.
Olson, Richard A., et al.. (2010). Modeling seasonal distribution and spatial range capacity of moose in Southeastern Wyoming.. 46. 89–112. 8 indexed citations
14.
Olson, Richard A., et al.. (2010). MODELING SEASONAL DISTRIBUTION AND SPATIAL RANGE CAPACITY APPROXIMATIONS OF MOOSE IN SOUTHEASTERN WYOMING. Alces : A Journal Devoted to the Biology and Management of Moose. 46. 89–112. 6 indexed citations
15.
Sawyer, Hall, Matthew J. Kauffman, Ryan M. Nielson, & Jon S. Horne. (2009). Identifying and prioritizing ungulate migration routes for landscape‐level conservation. Ecological Applications. 19(8). 2016–2025. 237 indexed citations
16.
Nielson, Ryan M., Bryan F. J. Manly, Lyman L. McDonald, Hall Sawyer, & Trent L. McDonald. (2009). Estimating habitat selection when GPS fix success is less than 100%. Ecology. 90(10). 2956–2962. 58 indexed citations
17.
Yazvenko, Sergei B., et al.. (2007). Distribution and abundance of western gray whales during a seismic survey near Sakhalin Island, Russia. Environmental Monitoring and Assessment. 134(1-3). 45–73. 32 indexed citations
18.
Yazvenko, Sergei B., et al.. (2007). Feeding of western gray whales during a seismic survey near Sakhalin Island, Russia. Environmental Monitoring and Assessment. 134(1-3). 93–106. 28 indexed citations
19.
Durner, George M., David C. Douglas, Ryan M. Nielson, & Steven C. Amstrup. (2006). A model for autumn pelagic distribution of adult female polar bears in the Chukchi Seas, 1987-1994. 6 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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