Chris Geremia

884 total citations
21 papers, 382 citations indexed

About

Chris Geremia is a scholar working on Ecology, Agronomy and Crop Science and Small Animals. According to data from OpenAlex, Chris Geremia has authored 21 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 8 papers in Agronomy and Crop Science and 7 papers in Small Animals. Recurrent topics in Chris Geremia's work include Wildlife Ecology and Conservation (10 papers), Animal Disease Management and Epidemiology (8 papers) and Brucella: diagnosis, epidemiology, treatment (6 papers). Chris Geremia is often cited by papers focused on Wildlife Ecology and Conservation (10 papers), Animal Disease Management and Epidemiology (8 papers) and Brucella: diagnosis, epidemiology, treatment (6 papers). Chris Geremia collaborates with scholars based in United States, Australia and Canada. Chris Geremia's co-authors include Rick Wallen, P. J. White, John J. Treanor, Jerod A. Merkle, N. Thompson Hobbs, Mark Hebblewhite, Daniel R. Eacker, Matthew J. Kauffman, Jennifer A. Hoeting and Fred Watson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Chris Geremia

18 papers receiving 375 citations

Peers

Chris Geremia

ECOLO

ACS

NLC

Chad J. Bishop United States

Bret D. Wallingford United States

Sarah R. Dewey United States

Ana M. Valente Portugal

Daniel J. Storm United States

Christopher S. Rosenberry United States

Glen A. Sargeant United States

Francesc Llimona Spain

Tyler G. Creech United States

Ivor Yockney New Zealand

Chad J. Bishop United States

Chris Geremia

526 ×2.4

ECOLO

76 ×0.9

ACS

81 ×1.0

87 ×1.5

NLC

35 ×0.6

Citations per year, relative to Chris Geremia Chris Geremia (= 1×) peers Chad J. Bishop

Countries citing papers authored by Chris Geremia

Since Specialization

Citations

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

Fields of papers citing papers by Chris Geremia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Geremia

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Geremia, Chris, E. William Hamilton, & Jerod A. Merkle. (2025). Yellowstone’s free-moving large bison herds provide a glimpse of their past ecosystem function. Science. 389(6763). 904–908. 1 indexed citations

Monteith, Kevin L., Tayler N. LaSharr, Chris Geremia, et al.. (2025). Beyond Habitat: Memory Versus Environment in Shaping Animal Space Use. Ecology Letters. 28(10). e70233–e70233.

Geremia, Chris, et al.. (2025). Assessing shifting technology in genetic monitoring of the North American plains bison Federal conservation herds. Conservation Genetics. 26(4). 657–675.

Merkle, Jerod A., et al.. (2024). Spatial–social familiarity complements the spatial–social interface: evidence from Yellowstone bison. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1912). 20220530–20220530. 5 indexed citations

Geremia, Chris, et al.. (2024). Genetic reassessment of population subdivision in Yellowstone National Park bison. Journal of Heredity. 116(1). 1–9. 1 indexed citations

Littleford‐Colquhoun, Bethan L., et al.. (2024). Body size modulates the extent of seasonal diet switching by large mammalian herbivores in Yellowstone National Park. Royal Society Open Science. 11(9). 240136–240136. 5 indexed citations

Frey, Rebecca, et al.. (2023). Bayesian latent-class modelling of quarantine testing procedures for American Bison (Bison bison) in the Greater Yellowstone Area to determine Brucella abortus freedom. Journal of the American Veterinary Medical Association. 261(4). 1–7.

Littleford‐Colquhoun, Bethan L., et al.. (2022). The precautionary principle and dietary DNA metabarcoding: Commonly used abundance thresholds change ecological interpretation. Molecular Ecology. 31(6). 1615–1626. 23 indexed citations

Frank, Douglas A., et al.. (2022). Feast or famine: How is global change affecting forage supply for Yellowstone's ungulate herds?. Ecological Applications. 33(1). e2735–e2735. 4 indexed citations

10.

Wilmers, Christopher C., Matthew C. Metz, Daniel R. Stahler, et al.. (2020). How climate impacts the composition of wolf‐killed elk in northern Yellowstone National Park. Journal of Animal Ecology. 89(6). 1511–1519. 11 indexed citations

11.

Geremia, Chris, Jerod A. Merkle, Daniel R. Eacker, et al.. (2019). Migrating bison engineer the green wave. Proceedings of the National Academy of Sciences. 116(51). 25707–25713. 86 indexed citations

12.

Tallian, Aimee, Douglas W. Smith, Daniel R. Stahler, et al.. (2017). Predator foraging response to a resurgent dangerous prey. Functional Ecology. 31(7). 1418–1429. 39 indexed citations

13.

Geremia, Chris, Michael W. Miller, Jennifer A. Hoeting, Michael F. Antolin, & N. Thompson Hobbs. (2015). Bayesian Modeling of Prion Disease Dynamics in Mule Deer Using Population Monitoring and Capture-Recapture Data. PLoS ONE. 10(10). e0140687–e0140687. 15 indexed citations

14.

Hobbs, N. Thompson, Chris Geremia, John J. Treanor, et al.. (2015). State‐space modeling to support management of brucellosis in the Yellowstone bison population. Ecological Monographs. 85(4). 525–556. 41 indexed citations

15.

Treanor, John J., Chris Geremia, Michael Ballou, et al.. (2015). Maintenance of brucellosis in Yellowstone bison: linking seasonal food resources, host–pathogen interaction, and life‐history trade‐offs. Ecology and Evolution. 5(17). 3783–3799. 8 indexed citations

16.

Geremia, Chris, P. J. White, Jennifer A. Hoeting, et al.. (2014). Integrating population‐ and individual‐level information in a movement model of Yellowstone bison. Ecological Applications. 24(2). 346–362. 20 indexed citations

17.

White, P. J., et al.. (2013). Bovine brucellosis in wildlife: using adaptive management to improve understanding, technology and suppression. Revue Scientifique et Technique de l OIE. 32(1). 263–270. 3 indexed citations

18.

Geremia, Chris, P. J. White, Rick Wallen, et al.. (2011). Predicting Bison Migration out of Yellowstone National Park Using Bayesian Models. PLoS ONE. 6(2). e16848–e16848. 31 indexed citations

19.

Treanor, John J., Chris Geremia, Philip H. Crowley, et al.. (2011). Estimating probabilities of active brucellosis infection in Yellowstone bison through quantitative serology and tissue culture. Journal of Applied Ecology. 48(6). 1324–1332. 30 indexed citations

20.

White, P. J., et al.. (2011). Management of Yellowstone bison and brucellosis transmission risk – Implications for conservation and restoration. Biological Conservation. 144(5). 1322–1334. 44 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.

Explore authors with similar magnitude of impact