Christopher J. Farmer

995 total citations
17 papers, 741 citations indexed

About

Christopher J. Farmer is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Christopher J. Farmer has authored 17 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 4 papers in Ecological Modeling and 3 papers in Nature and Landscape Conservation. Recurrent topics in Christopher J. Farmer's work include Avian ecology and behavior (9 papers), Wildlife Ecology and Conservation (8 papers) and Species Distribution and Climate Change (4 papers). Christopher J. Farmer is often cited by papers focused on Avian ecology and behavior (9 papers), Wildlife Ecology and Conservation (8 papers) and Species Distribution and Climate Change (4 papers). Christopher J. Farmer collaborates with scholars based in United States, Canada and Australia. Christopher J. Farmer's co-authors include Stephen Derdak, Jay A. Johannigman, Jan Westerman, William Beninati, Patrice Fort, Jeff P. Smith, Christopher P Alderman, Keith L. Bildstein, David Mizrahi and David J. T. Hussell and has published in prestigious journals such as Critical Care Medicine, Journal of Wildlife Management and Ecological Modelling.

In The Last Decade

Christopher J. Farmer

17 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Farmer United States 13 357 235 148 89 87 17 741
Mark Hamilton United Kingdom 23 123 0.3× 174 0.7× 105 0.7× 74 0.8× 249 2.9× 39 1.9k
Shannon M. Knapp United States 16 121 0.3× 39 0.2× 35 0.2× 38 0.4× 19 0.2× 50 801
Keith P. Lewis United States 16 292 0.8× 80 0.3× 151 1.0× 71 0.8× 7 0.1× 38 970
Andrew Butler United States 17 212 0.6× 380 1.6× 140 0.9× 72 0.8× 128 1.5× 49 1.2k
Nitin Sekar India 10 100 0.3× 51 0.2× 53 0.4× 12 0.1× 18 0.2× 15 564
Anna Ponjoan Spain 20 206 0.6× 61 0.3× 10 0.1× 74 0.8× 12 0.1× 47 1.1k
Robert L. Hopkins United States 13 147 0.4× 146 0.6× 26 0.2× 70 0.8× 16 0.2× 29 436
Benrong Chen United States 9 121 0.3× 16 0.1× 36 0.2× 18 0.2× 8 0.1× 12 603
John Kelly United Kingdom 17 259 0.7× 136 0.6× 23 0.2× 29 0.3× 38 0.4× 40 1.3k
Stephen Ball Australia 19 60 0.2× 58 0.2× 364 2.5× 13 0.1× 12 0.1× 79 975

Countries citing papers authored by Christopher J. Farmer

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Farmer. 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 Christopher J. Farmer. The network helps show where Christopher J. Farmer may publish in the future.

Co-authorship network of co-authors of Christopher J. Farmer

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

All Works

17 of 17 papers shown
1.
Quon, Eliot, Michael Lawson, David Brandes, et al.. (2022). Stochastic agent-based model for predicting turbine-scale raptor movements during updraft-subsidized directional flights. Ecological Modelling. 466. 109876–109876. 7 indexed citations
2.
Watson, Richard T., Miguel Ferrer, Torgeir Nygård, et al.. (2018). Raptor Interactions With Wind Energy: Case Studies From Around the World. Journal of Raptor Research. 52(1). 1–18. 60 indexed citations
3.
Ofoma, Uchenna R., Subhash Chandra, Rahul Kashyap, et al.. (2014). Findings from the Implementation of a Validated Readmission Predictive Tool in the Discharge Workflow of a Medical Intensive Care Unit. Annals of the American Thoracic Society. 11(5). 737–743. 12 indexed citations
4.
Goodrich, Laurie J., Christopher J. Farmer, David R. Barber, & Keith L. Bildstein. (2012). What Banding Tells Us About the Movement Ecology of Raptors. Journal of Raptor Research. 46(1). 27–35. 19 indexed citations
5.
Roberts, G.W., et al.. (2010). Clinical decision support implemented with academic detailing improves prescribing of key renally cleared drugs in the hospital setting. Journal of the American Medical Informatics Association. 17(3). 308–312. 43 indexed citations
6.
Farmer, Christopher J. & Jeff P. Smith. (2010). Seasonal Differences in Migration Counts of Raptors: Utility of Spring Counts for Population Monitoring. Journal of Raptor Research. 44(2). 101–112. 7 indexed citations
7.
Farmer, Christopher J., Kamran Safi, David R. Barber, et al.. (2010). Efficacy of Migration Counts for Monitoring Continental Populations of Raptors: an Example Using the Osprey (Pandion haliaetus). The Auk. 127(4). 863–870. 25 indexed citations
8.
Klem, D.E., et al.. (2009). Architectural and Landscape Risk Factors Associated with Bird–glass Collisions in an Urban Environment. The Wilson Journal of Ornithology. 121(1). 126–134. 69 indexed citations
9.
Bildstein, Keith L., et al.. (2009). Narrow sea crossings present major obstacles to migrating Griffon Vultures Gyps fulvus. Ibis. 151(2). 382–391. 55 indexed citations
10.
Farmer, Christopher J. & Jeff P. Smith. (2009). Migration Monitoring Indicates Widespread Declines of American Kestrels (Falco sparverius) in North America. Journal of Raptor Research. 43(4). 263–273. 42 indexed citations
11.
Farmer, Christopher J., David J. T. Hussell, & David Mizrahi. (2007). Detecting Population Trends in Migratory Birds of Prey. The Auk. 124(3). 1047–1062. 23 indexed citations
12.
Farmer, Christopher J., David J. T. Hussell, & David Mizrahi. (2007). DETECTING POPULATION TRENDS IN MIGRATORY BIRDS OF PREY. The Auk. 124(3). 1047–1047. 42 indexed citations
13.
Farmer, Christopher J., et al.. (2007). ECOLOGICAL CLASSIFICATION OF DEER HABITAT IN THE TONGASS NATIONAL FOREST, ALASKA. Northwestern Naturalist. 88(2). 73–84. 7 indexed citations
14.
Farmer, Christopher J., David K. Person, & R. Terry Bowyer. (2006). Risk Factors and Mortality of Black-Tailed Deer in a Managed Forest Landscape. Journal of Wildlife Management. 70(5). 1403–1415. 46 indexed citations
15.
Alderman, Christopher P & Christopher J. Farmer. (2001). A brief analysis of clinical pharmacy interventions undertaken in an Australian teaching hospital. PubMed. 21(4). 99–103. 48 indexed citations
16.
Fort, Patrice, Christopher J. Farmer, Jan Westerman, et al.. (1997). High-frequency oscillatory ventilation for adult respiratory distress syndrome-A pilot study. Critical Care Medicine. 25(6). 937–947. 220 indexed citations
17.
Dolan, Stephen A., et al.. (1996). Tracheal gas insufflation combined with high-frequency oscillatory ventilation. Critical Care Medicine. 24(3). 458–465. 16 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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