William A. Sprigg

807 total citations
25 papers, 332 citations indexed

About

William A. Sprigg is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, William A. Sprigg has authored 25 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in William A. Sprigg's work include Atmospheric chemistry and aerosols (10 papers), Atmospheric aerosols and clouds (10 papers) and Air Quality and Health Impacts (5 papers). William A. Sprigg is often cited by papers focused on Atmospheric chemistry and aerosols (10 papers), Atmospheric aerosols and clouds (10 papers) and Air Quality and Health Impacts (5 papers). William A. Sprigg collaborates with scholars based in United States, Egypt and Czechia. William A. Sprigg's co-authors include Slobodan Ničković, Hesham El‐Askary, M. Dacic, Ana Vuković, A. K. Prasad, M. Vujadinović, Goran Pejanović, Todd K. Hinkley, John N. Galgiani and Daniel Tong and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of Allergy and Clinical Immunology.

In The Last Decade

William A. Sprigg

24 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William A. Sprigg United States	10	181	172	86	71	31	25	332
Matthew J. McCarthy United States	11	205 1.1×	63 0.4×	71 0.8×	66 0.9×	124 4.0×	22	509
James P. Rydock Norway	9	146 0.8×	79 0.5×	24 0.3×	42 0.6×	72 2.3×	20	353
Chea-Yuan Young Taiwan	10	214 1.2×	325 1.9×	44 0.5×	351 4.9×	121 3.9×	12	613
Xin Xi United States	9	254 1.4×	234 1.4×	143 1.7×	29 0.4×	25 0.8×	16	370
Abu Yousuf Md Abdullah Canada	9	448 2.5×	121 0.7×	21 0.2×	48 0.7×	169 5.5×	19	681
Hang Lei United States	12	214 1.2×	289 1.7×	76 0.9×	236 3.3×	50 1.6×	17	461
DeWitt Braud United States	9	91 0.5×	88 0.5×	148 1.7×	9 0.1×	12 0.4×	24	429
Stan Yip Hong Kong	9	254 1.4×	135 0.8×	8 0.1×	22 0.3×	37 1.2×	14	448
Toru Terao Japan	15	433 2.4×	387 2.3×	13 0.2×	36 0.5×	45 1.5×	35	664
Markel García‐Díez Spain	13	584 3.2×	555 3.2×	21 0.2×	92 1.3×	142 4.6×	19	827

Countries citing papers authored by William A. Sprigg

Since Specialization

Citations

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

Fields of papers citing papers by William A. Sprigg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Sprigg. 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 William A. Sprigg. The network helps show where William A. Sprigg may publish in the future.

Co-authorship network of co-authors of William A. Sprigg

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

All Works

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20 of 20 papers shown

Sprigg, William A., Thomas E. Gill, Daniel Tong, et al.. (2022). Are Opportunities to Apply Airborne Dust Research Being Missed?. Bulletin of the American Meteorological Society. 103(6). E1587–E1594. 1 indexed citations

Sun, Ziheng, Liping Di, William A. Sprigg, Daniel Tong, & Mariana Casal. (2020). Community venue exposure risk estimator for the COVID-19 pandemic. Health & Place. 66. 102450–102450. 22 indexed citations

Laniado-Laborı́n, Rafael, et al.. (2020). Interdisciplinary Science to Confront Coccidioidomycosis. International Journal of Social Science Studies. 8(4). 97–97.

El‐Askary, Hesham, et al.. (2018). Remote sensing observation of annual dust cycles and possible causality of Kawasaki disease outbreaks in Japan. Global Cardiology Science and Practice. 2017(3). e201722–e201722. 9 indexed citations

Bahrami, Hossein, et al.. (2017). Using bio-mulch for dust stabilization (case study: Semnan province, Iran). Nature Environment and Pollution Technology. 16(4). 1313–1320. 6 indexed citations

Sprigg, William A., et al.. (2016). Extreme Weather, Health, and Communities. DIAL (Catholic University of Leuven). 6 indexed citations

Kafatos, M., et al.. (2016). Migration, Environment and Public Health: Theory and Interdisciplinary Research from a Regional Science Perspective. International Journal of Social Science Studies. 4(4). 4 indexed citations

Vuković, Ana, M. Vujadinović, Goran Pejanović, et al.. (2014). Numerical simulation of "an American haboob". Atmospheric chemistry and physics. 14(7). 3211–3230. 45 indexed citations

El‐Askary, Hesham, et al.. (2013). Annual Patterns of Atmospheric Pollutions and Episodes over Cairo Egypt. Advances in Meteorology. 2013. 1–11. 23 indexed citations

10.

Pejanović, Goran, et al.. (2011). Dust storm of July 5th 2011, Phoenix, Arizona: Numerical simulation. AGUFM. 2011. 1 indexed citations

11.

Luvall, Jeffrey C., William A. Sprigg, Estelle Levetin, et al.. (2011). Use of MODIS Satellite Images and an Atmospheric Dust Transport Model To Evaluate Juniperus Spp. Pollen Phenology and Dispersal to Support Public Health Alerts. Journal of Allergy and Clinical Immunology. 127(2). AB19–AB19. 4 indexed citations

12.

Luvall, Jeffrey C., William A. Sprigg, Estelle Levetin, et al.. (2011). Use of MODIS Satellite Images and an Atmospheric Dust Transport Model to Evaluate Juniperus spp. Pollen Phenology and Transport. 2011. 1 indexed citations

13.

Sprigg, William A.. (2009). Public-health applications in remote sensing. SPIE Newsroom. 8 indexed citations

14.

Sprigg, William A., et al.. (2008). CLIMATE, ENERGY AND PLANETARY EMERGENCY. 79–80. 1 indexed citations

15.

Thome, Kurt, et al.. (2006). Dust transport model validation using satellite- and ground-based methods in the southwestern United States. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6299. 62990L–62990L. 12 indexed citations

16.

Ničković, Slobodan, et al.. (2005). Modeling wind-blown desert dust in the southwestern United States for public health warning: A case study. Atmospheric Environment. 39(33). 6243–6254. 37 indexed citations

17.

Ničković, Slobodan, et al.. (2003). PHAiRS ñ A Public Health Decision Support System: Initial Results. 2 indexed citations

18.

Sprigg, William A. & Todd K. Hinkley. (2000). Preparing for a changing climate: the potential consequences of climate variability and change: Southwest. 11 indexed citations

19.

Colwell, Rita R., Paul N. Epstein, D. J. Gubler, et al.. (1998). Global Climate Change and Infectious Diseases. Emerging infectious diseases. 4(3). 451–452. 27 indexed citations

20.

Sprigg, William A.. (1973). Large particle diffusion from an elevated line source - a comparative evaluation of a theoretical model with field diffusion experiments. Agricultural Meteorology. 12. 425–439. 1 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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