Jamin G. Wieringa

406 total citations
9 papers, 278 citations indexed

About

Jamin G. Wieringa is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Jamin G. Wieringa has authored 9 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 5 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Ecological Modeling. Recurrent topics in Jamin G. Wieringa's work include Wildlife Ecology and Conservation (5 papers), Bat Biology and Ecology Studies (5 papers) and Species Distribution and Climate Change (4 papers). Jamin G. Wieringa is often cited by papers focused on Wildlife Ecology and Conservation (5 papers), Bat Biology and Ecology Studies (5 papers) and Species Distribution and Climate Change (4 papers). Jamin G. Wieringa collaborates with scholars based in United States. Jamin G. Wieringa's co-authors include Andrew R. Mahon, Nathan T. Evans, Patrick D. Shirey, Gary A. Lamberti, Bryan C. Carstens, H. Lisle Gibbs, Tara A. Pelletier, Seth J. Herbst, Juliet Nagel and David M. Nelson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Mammalogy.

In The Last Decade

Jamin G. Wieringa

9 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamin G. Wieringa United States	6	241	168	92	53	37	9	278
Matthew J. Heydenrych Australia	9	370 1.5×	300 1.8×	55 0.6×	54 1.0×	23 0.6×	13	413
Charles Baillie United Kingdom	12	387 1.6×	336 2.0×	76 0.8×	48 0.9×	15 0.4×	15	464
Till‐Hendrik Macher Germany	10	232 1.0×	163 1.0×	32 0.3×	41 0.8×	21 0.6×	17	257
Tamara Schenekar Austria	7	242 1.0×	177 1.1×	95 1.0×	35 0.7×	30 0.8×	21	343
Kristen Fernandes Australia	7	313 1.3×	230 1.4×	38 0.4×	72 1.4×	35 0.9×	10	339
Samuel Hürlemann Switzerland	8	248 1.0×	205 1.2×	40 0.4×	38 0.7×	9 0.2×	9	305
Katrina M. West Australia	9	392 1.6×	308 1.8×	53 0.6×	22 0.4×	10 0.3×	18	437
Cécilia Hernandez Canada	11	390 1.6×	341 2.0×	109 1.2×	20 0.4×	9 0.2×	15	461
Lori A. Williams United States	8	274 1.1×	199 1.2×	118 1.3×	85 1.6×	29 0.8×	20	351
Katsuki Nakai Japan	7	218 0.9×	71 0.4×	148 1.6×	13 0.2×	15 0.4×	21	265

Countries citing papers authored by Jamin G. Wieringa

Since Specialization

Citations

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

Fields of papers citing papers by Jamin G. Wieringa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamin G. Wieringa. 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 Jamin G. Wieringa. The network helps show where Jamin G. Wieringa may publish in the future.

Co-authorship network of co-authors of Jamin G. Wieringa

This figure shows the co-authorship network connecting the top 25 collaborators of Jamin G. Wieringa. A scholar is included among the top collaborators of Jamin G. Wieringa 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 Jamin G. Wieringa. Jamin G. Wieringa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Wieringa, Jamin G., et al.. (2023). Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats. Ecosphere. 14(6). 2 indexed citations

Pelletier, Tara A., et al.. (2022). Analysis of biodiversity data suggests that mammal species are hidden in predictable places. Proceedings of the National Academy of Sciences. 119(14). e2103400119–e2103400119. 29 indexed citations

Wieringa, Jamin G.. (2022). Comparing predictions of IUCN Red List categories from machine learning and other methods for bats. Journal of Mammalogy. 103(3). 528–539. 3 indexed citations

Wieringa, Jamin G., Bryan C. Carstens, & H. Lisle Gibbs. (2021). Predicting migration routes for three species of migratory bats using species distribution models. PeerJ. 9. e11177–e11177. 21 indexed citations

Wieringa, Jamin G., Juliet Nagel, David M. Nelson, Bryan C. Carstens, & H. Lisle Gibbs. (2020). Using trace elements to identify the geographic origin of migratory bats. PeerJ. 8. e10082–e10082. 9 indexed citations

Wieringa, Jamin G., et al.. (2020). Does habitat stability structure intraspecific genetic diversity? It’s complicated.... Frontiers of Biogeography. 12(2). 10 indexed citations

Wieringa, Jamin G., et al.. (2020). Sequencing whole mitochondrial genomes to assess genetic divergence between proposed silver-haired bat (Lasionycteris noctivagans) populations. SHILAP Revista de lepidopterología. 5(4). 3838–3839. 3 indexed citations

Evans, Nathan T., Patrick D. Shirey, Jamin G. Wieringa, Andrew R. Mahon, & Gary A. Lamberti. (2017). Comparative Cost and Effort of Fish Distribution Detection via Environmental DNA Analysis and Electrofishing. Fisheries. 42(2). 90–99. 184 indexed citations

Wieringa, Jamin G., Seth J. Herbst, & Andrew R. Mahon. (2016). The reproductive viability of grass carp (Ctenopharyngodon idella) in the western basin of Lake Erie. Journal of Great Lakes Research. 43(2). 405–409. 17 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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