Jeffrey Whicker

1.8k total citations
45 papers, 1.4k citations indexed

About

Jeffrey Whicker is a scholar working on Global and Planetary Change, Earth-Surface Processes and Soil Science. According to data from OpenAlex, Jeffrey Whicker has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 21 papers in Earth-Surface Processes and 12 papers in Soil Science. Recurrent topics in Jeffrey Whicker's work include Aeolian processes and effects (21 papers), Soil erosion and sediment transport (12 papers) and Radioactive contamination and transfer (12 papers). Jeffrey Whicker is often cited by papers focused on Aeolian processes and effects (21 papers), Soil erosion and sediment transport (12 papers) and Radioactive contamination and transfer (12 papers). Jeffrey Whicker collaborates with scholars based in United States, United Kingdom and Australia. Jeffrey Whicker's co-authors include David D. Breshears, Jason P. Field, John E. Pinder, Mathew P. Johansen, Sujith Ravi, Gregory S. Okin, Chris B. Zou, Piotr Wasiolek, John Rodgers and Marith C. Reheis and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Reviews of Geophysics.

In The Last Decade

Jeffrey Whicker

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Whicker United States 15 752 627 541 434 199 45 1.4k
Shangyu Gao China 17 313 0.4× 416 0.7× 245 0.5× 401 0.9× 205 1.0× 34 1.0k
Ludger Herrmann Germany 18 328 0.4× 230 0.4× 302 0.6× 514 1.2× 131 0.7× 51 1.6k
Harland L. Goldstein United States 20 458 0.6× 480 0.8× 135 0.2× 642 1.5× 142 0.7× 48 1.2k
Eerdun Hasi China 14 331 0.4× 475 0.8× 278 0.5× 416 1.0× 255 1.3× 40 1.1k
Haiyan Fang China 28 510 0.7× 555 0.9× 1.5k 2.8× 327 0.8× 917 4.6× 102 2.5k
Dongwei Liu China 20 173 0.2× 517 0.8× 248 0.5× 377 0.9× 320 1.6× 53 1.3k
Matthew Baddock United Kingdom 25 1.4k 1.8× 1.1k 1.7× 470 0.9× 1.3k 3.1× 224 1.1× 53 2.1k
Mark R. Sweeney United States 17 617 0.8× 318 0.5× 177 0.3× 549 1.3× 90 0.5× 33 916
Zhengcai Zhang China 24 1.1k 1.5× 223 0.4× 588 1.1× 970 2.2× 163 0.8× 90 1.6k
Yasunori Kurosaki Japan 22 659 0.9× 1.0k 1.6× 286 0.5× 1.1k 2.6× 169 0.8× 55 1.8k

Countries citing papers authored by Jeffrey Whicker

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Whicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Whicker

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Whicker. A scholar is included among the top collaborators of Jeffrey Whicker 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 Jeffrey Whicker. Jeffrey Whicker 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
1.
Martínez, Nicole, et al.. (2024). An introduction to ecosystem services for radiological protection. Annals of the ICRP. 53(1_suppl). 246–254. 1 indexed citations
2.
Whicker, Jeffrey, et al.. (2023). Allometric-kinetic model predictions of radionuclide dynamics across turtle taxa. Journal of Environmental Radioactivity. 262. 107164–107164. 1 indexed citations
3.
Whicker, Jeffrey, et al.. (2021). Radionuclide resuspension across ecosystems and environmental disturbances. Journal of Environmental Radioactivity. 233. 106586–106586. 5 indexed citations
4.
Whicker, Jeffrey, et al.. (2019). Validation Tests of Resuspension Models for a Finite and Infinite Site. Health Physics. 117(4). 408–415. 1 indexed citations
5.
McNaughton, M. W., et al.. (2017). Gamma-Ray Dose From an Overhead Plume. Health Physics. 112(5). 445–450. 5 indexed citations
6.
McNaughton, M. W., et al.. (2017). Accuracy of Cloudshine Gamma Dose Calculations in the CAP-88 Dispersion Model. Health Physics. 112(4). 414–419. 1 indexed citations
7.
Merino‐Martín, Luis, Jason P. Field, Juan Camilo Villegas, et al.. (2014). Aeolian sediment and dust fluxes during predominant “background” wind conditions for unburned and burned semiarid grassland: Interplay between particle size and temporal scale. Aeolian Research. 14. 97–103. 10 indexed citations
8.
McNaughton, M. W., et al.. (2013). Addressing Nuclides Not in the CAP88-PC Version-3 Library. Health Physics. 105(2). S182–S188.
9.
Green, Andrew, et al.. (2013). Validation Test for CAP88 Predictions of Tritium Dispersion at Los Alamos National Laboratory. Health Physics. 105(2). S176–S181. 3 indexed citations
10.
Whicker, Jeffrey, et al.. (2013). Modeling aeolian transport of soil-bound plutonium: considering infrequent but normal environmental disturbances is critical in estimating future dose. Journal of Environmental Radioactivity. 120. 73–80. 5 indexed citations
11.
Field, Jason P., David D. Breshears, Jeffrey Whicker, & Chris B. Zou. (2011). Interactive effects of grazing and burning on wind- and water-driven sediment fluxes: rangeland management implications. Ecological Applications. 21(1). 22–32. 30 indexed citations
12.
Whicker, Jeffrey, et al.. (2009). CALCULATING CAPSTONE DEPLETED URANIUM AEROSOL CONCENTRATIONS FROM BETA ACTIVITY MEASUREMENTS. Health Physics. 96(3). 238–250. 5 indexed citations
13.
Whicker, Jeffrey, et al.. (2009). PROBABILISTIC MODEL EVALUATION OF CONTINUOUS AIR MONITOR RESPONSE FOR MEETING RADIATION PROTECTION GOALS. Health Physics. 97(3). 228–241. 1 indexed citations
14.
Whicker, Jeffrey, et al.. (2008). Adaptive Management: A Paradigm for Remediation of Public Facilities Following a Terrorist Attack. Risk Analysis. 28(5). 1445–1456. 7 indexed citations
15.
Whicker, Jeffrey, et al.. (2006). From dust to dose: Effects of forest disturbance on increased inhalation exposure. The Science of The Total Environment. 368(2-3). 519–530. 29 indexed citations
16.
Cheng, Yung Sung, Raymond A. Guilmette, Yue Zhou, et al.. (2004). CHARACTERIZATION OF PLUTONIUM AEROSOL COLLECTED DURING AN ACCIDENT. Health Physics. 87(6). 596–605. 19 indexed citations
17.
Whicker, Jeffrey, et al.. (2003). A QUANTITATIVE METHOD FOR OPTIMIZED PLACEMENT OF CONTINUOUS AIR MONITORS. Health Physics. 85(5). 599–609. 7 indexed citations
18.
Whicker, Jeffrey, et al.. (2002). INFLUENCE OF ROOM GEOMETRY AND VENTILATION RATE ON AIRFLOW AND AEROSOL DISPERSION: IMPLICATIONS FOR WORKER PROTECTION. Health Physics. 82(1). 52–63. 13 indexed citations
19.
Whicker, Jeffrey, et al.. (1999). Assessment of Need for Transport Tubes When Continuously Monitoring for Radioactive Aerosals. Health Physics. 77(3). 322–327. 2 indexed citations
20.
Whicker, Jeffrey, et al.. (1997). Evaluation of Continuous Air Monitor Placement in a Plutonium Facility. Health Physics. 72(5). 734–743. 10 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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