John D. Erb

803 total citations
38 papers, 517 citations indexed

About

John D. Erb is a scholar working on Ecology, Ecological Modeling and Small Animals. According to data from OpenAlex, John D. Erb has authored 38 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ecology, 12 papers in Ecological Modeling and 9 papers in Small Animals. Recurrent topics in John D. Erb's work include Wildlife Ecology and Conservation (31 papers), Species Distribution and Climate Change (12 papers) and Animal Behavior and Welfare Studies (9 papers). John D. Erb is often cited by papers focused on Wildlife Ecology and Conservation (31 papers), Species Distribution and Climate Change (12 papers) and Animal Behavior and Welfare Studies (9 papers). John D. Erb collaborates with scholars based in United States, Canada and France. John D. Erb's co-authors include Mark S. Boyce, Nils Chr. Stenseth, Brock R. McMillan, Daniel J. Martin, Thomas A. Gorman, John Fieberg, Fabiola Iannarilli, L. David Mech, Shannon M. Barber‐Meyer and Todd W. Arnold and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

John D. Erb

36 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Erb United States 13 426 105 88 86 68 38 517
Adam A. Ahlers United States 13 442 1.0× 108 1.0× 73 0.8× 112 1.3× 69 1.0× 38 569
Jim Casaer Belgium 13 320 0.8× 77 0.7× 64 0.7× 73 0.8× 52 0.8× 61 502
Olivier Devineau Norway 15 469 1.1× 121 1.2× 99 1.1× 97 1.1× 85 1.3× 50 596
Cyril Milleret Norway 19 731 1.7× 130 1.2× 139 1.6× 89 1.0× 151 2.2× 48 815
Christopher N. Jacques United States 14 609 1.4× 72 0.7× 88 1.0× 121 1.4× 101 1.5× 61 706
Gokarna Jung Thapa Nepal 12 429 1.0× 212 2.0× 60 0.7× 98 1.1× 54 0.8× 24 530
E. Hance Ellington United States 13 351 0.8× 83 0.8× 77 0.9× 67 0.8× 94 1.4× 22 464
Nicolas J. Deere United Kingdom 13 361 0.8× 124 1.2× 58 0.7× 112 1.3× 34 0.5× 31 527
Devcharan Jathanna India 14 557 1.3× 167 1.6× 78 0.9× 114 1.3× 83 1.2× 20 628
Sean M. Matthews United States 14 592 1.4× 167 1.6× 139 1.6× 99 1.2× 66 1.0× 29 661

Countries citing papers authored by John D. Erb

Since Specialization
Citations

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

Fields of papers citing papers by John D. Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Erb

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Erb. A scholar is included among the top collaborators of John D. Erb 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 John D. Erb. John D. Erb 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.
Kays, Roland, David S. Jachowski, John D. Erb, et al.. (2025). Efficacy of baits and lures for weasel detection. Wildlife Society Bulletin. 49(2). 1 indexed citations
3.
Erb, John D., et al.. (2024). The effects of variability in catch effort on the precision of statistical population reconstruction. Wildlife Biology. 2025(2). 2 indexed citations
4.
Iannarilli, Fabiola, Brian D. Gerber, John D. Erb, & John Fieberg. (2024). A ‘how‐to’ guide for estimating animal diel activity using hierarchical models. Journal of Animal Ecology. 94(2). 182–194. 4 indexed citations
5.
Beyer, Dean E., John D. Erb, Mariela G. Gantchoff, et al.. (2024). Temporal dynamics in gray wolf space use suggest stabilizing range in the Great Lakes region, USA. Biological Conservation. 291. 110489–110489. 1 indexed citations
6.
Smith, Matthew M., John D. Erb, & Jonathan N. Pauli. (2023). Reciprocated competition between two forest carnivores drives dietary specialization. Journal of Animal Ecology. 92(9). 1695–1706. 8 indexed citations
7.
Kellner, Kenneth F., et al.. (2023). Gray wolf range in the western Great Lakes region under forecasted land use and climate change. Ecosphere. 14(8). 1 indexed citations
8.
Kellner, Kenneth F., Mariela G. Gantchoff, Brent R. Patterson, et al.. (2023). Habitat selection of resident and non-resident gray wolves: implications for habitat connectivity. Scientific Reports. 13(1). 20415–20415. 7 indexed citations
9.
Gantchoff, Mariela G., et al.. (2022). Distribution model transferability for a wide-ranging species, the Gray Wolf. Scientific Reports. 12(1). 13556–13556. 10 indexed citations
10.
Lovallo, Matthew J., et al.. (2021). Welfare Performance of Three Foothold Traps for Capturing North American River Otters. Journal of Fish and Wildlife Management. 12(2). 513–519.
11.
Ferguson, Jake M., et al.. (2020). Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities. Ecological Applications. 31(1). e02198–e02198. 11 indexed citations
12.
Ferguson, Jake M., et al.. (2020). Ecological Forecasts Reveal Limitations of Common Model Selection Methods: Predicting Changes in Beaver Colony Densities. Bulletin of the Ecological Society of America. 101(4). 1 indexed citations
13.
Tabak, Michael A., Mohammad Sadegh Norouzzadeh, David W. Wolfson, et al.. (2020). Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2. Ecology and Evolution. 10(19). 10374–10383. 49 indexed citations
14.
Iannarilli, Fabiola, Todd W. Arnold, John D. Erb, & John Fieberg. (2019). Using lorelograms to measure and model correlation in binary data: Applications to ecological studies. Methods in Ecology and Evolution. 10(12). 2153–2162. 12 indexed citations
15.
Joyce, Michael, John D. Erb, Barry A. Sampson, & Ron Moen. (2018). Detection of coarse woody debris using airborne light detection and ranging (LiDAR). Forest Ecology and Management. 433. 678–689. 26 indexed citations
16.
Erb, John D., et al.. (2017). Utility of radio‐telemetry data for improving statistical population reconstruction. Journal of Wildlife Management. 81(3). 535–544. 9 indexed citations
17.
Mech, L. David, Shannon M. Barber‐Meyer, & John D. Erb. (2016). Wolf (Canis lupus) Generation Time and Proportion of Current Breeding Females by Age. PLoS ONE. 11(6). e0156682–e0156682. 37 indexed citations
18.
Gorman, Thomas A., John D. Erb, Brock R. McMillan, Daniel J. Martin, & Jessica A. Homyack. (2006). Site Characteristics of River Otter (Lontra canadensis) Natal Dens in Minnesota. The American Midland Naturalist. 156(1). 109–117. 16 indexed citations
19.
Erb, John D. & Mark S. Boyce. (1999). Distribution of Population Declines in Large Mammals. Conservation Biology. 13(1). 199–201. 15 indexed citations
20.
Cruden, Robert William, et al.. (1990). The mating systems and pollination biology of three species of Verbena (Verbenaceae).. UNI ScholarWorks (University of Northern Iowa). 97(4). 178–183. 12 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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