John E. Ten Hoeve

1.2k total citations
18 papers, 844 citations indexed

About

John E. Ten Hoeve is a scholar working on Global and Planetary Change, Atmospheric Science and Sociology and Political Science. According to data from OpenAlex, John E. Ten Hoeve has authored 18 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 4 papers in Sociology and Political Science. Recurrent topics in John E. Ten Hoeve's work include Atmospheric aerosols and clouds (6 papers), Atmospheric chemistry and aerosols (5 papers) and Risk Perception and Management (4 papers). John E. Ten Hoeve is often cited by papers focused on Atmospheric aerosols and clouds (6 papers), Atmospheric chemistry and aerosols (5 papers) and Risk Perception and Management (4 papers). John E. Ten Hoeve collaborates with scholars based in United States, Brazil and United Kingdom. John E. Ten Hoeve's co-authors include Mark Z. Jacobson, L. A. Remer, Louis W. Uccellini, Michael J. Dvorak, John Augustine, Kimberly A. Prather, Jessie M. Creamean, Andrew P. Ault, Greg Roberts and A. L. Correia and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Energy & Environmental Science.

In The Last Decade

John E. Ten Hoeve

17 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Ten Hoeve United States 12 470 349 148 117 107 18 844
Irène Korsakissok France 15 624 1.3× 248 0.7× 146 1.0× 41 0.4× 97 0.9× 36 890
Denis Quélo France 14 555 1.2× 304 0.9× 134 0.9× 29 0.2× 35 0.3× 25 730
Damien Didier France 11 587 1.2× 105 0.3× 89 0.6× 37 0.3× 102 1.0× 15 742
W. Raskob Germany 15 433 0.9× 68 0.2× 98 0.7× 120 1.0× 22 0.2× 104 790
Kasper Grann Andersson Denmark 18 626 1.3× 47 0.1× 51 0.3× 128 1.1× 120 1.1× 72 911
P.D. Hien Vietnam 17 346 0.7× 487 1.4× 297 2.0× 41 0.4× 10 0.1× 31 1.2k
Fumikazu Ikemori Japan 20 427 0.9× 736 2.1× 238 1.6× 42 0.4× 65 0.6× 37 1.2k
H. Bem Poland 17 371 0.8× 61 0.2× 28 0.2× 209 1.8× 84 0.8× 59 1.0k
Michela Maione Italy 22 729 1.6× 810 2.3× 197 1.3× 15 0.1× 10 0.1× 65 1.3k
P.R. Maul United Kingdom 12 113 0.2× 53 0.2× 185 1.3× 33 0.3× 16 0.1× 33 400

Countries citing papers authored by John E. Ten Hoeve

Since Specialization
Citations

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

Fields of papers citing papers by John E. Ten Hoeve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Ten Hoeve. 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 John E. Ten Hoeve. The network helps show where John E. Ten Hoeve may publish in the future.

Co-authorship network of co-authors of John E. Ten Hoeve

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

All Works

18 of 18 papers shown
1.
Smith, Michael D., et al.. (2023). A Weather-Ready Nation for All? The Demographics of Severe Weather Understanding, Reception, and Response. Weather Climate and Society. 15(2). 229–262. 5 indexed citations
2.
Hoeve, John E. Ten. (2022). The Role of the Weather, Water, and Climate Enterprise in the Proposed SEC Rule on Climate-Related Disclosures. Bulletin of the American Meteorological Society. 103(11). 823–824.
3.
Boukabara, Sid‐Ahmed, Vladimir M. Krasnopolsky, Stephen G. Penny, et al.. (2020). Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences. Bulletin of the American Meteorological Society. 102(5). E1016–E1032. 50 indexed citations
4.
Uccellini, Louis W. & John E. Ten Hoeve. (2019). Evolving the National Weather Service to Build a Weather-Ready Nation: Connecting Observations, Forecasts, and Warnings to Decision-Makers through Impact-Based Decision Support Services. Bulletin of the American Meteorological Society. 100(10). 1923–1942. 76 indexed citations
5.
Hein, Christopher J., John E. Ten Hoeve, Sathya Gopalakrishnan, et al.. (2018). Overcoming early career barriers to interdisciplinary climate change research. Wiley Interdisciplinary Reviews Climate Change. 9(5). 36 indexed citations
6.
Hoeve, John E. Ten & John Augustine. (2015). Aerosol effects on cloud cover as evidenced by ground‐based and space‐based observations at five rural sites in the United States. Geophysical Research Letters. 43(2). 793–801. 19 indexed citations
7.
Livneh, Ben, Elizabeth Mariño, & John E. Ten Hoeve. (2014). Emerging Ideas and Interdisciplinary Perspectives on Climate Change. Eos. 95(7). 65–65. 1 indexed citations
8.
Hoeve, John E. Ten & Mark Z. Jacobson. (2012). Reply to the ‘Opinion on “Worldwide health effects of the Fukushima Daiichi nuclear accident”’ by B. Richter, Energy Environ. Sci., 2012, 5, DOI:10.1039/c2ee22658h”. Energy & Environmental Science. 5(9). 8760–8760. 3 indexed citations
9.
Hoeve, John E. Ten, L. A. Remer, A. L. Correia, & Mark Z. Jacobson. (2012). Recent shift from forest to savanna burning in the Amazon Basin observed by satellite. Environmental Research Letters. 7(2). 24020–24020. 31 indexed citations
10.
Hoeve, John E. Ten, Mark Z. Jacobson, & L. A. Remer. (2012). Comparing results from a physical model with satellite and in situ observations to determine whether biomass burning aerosols over the Amazon brighten or burn off clouds. Journal of Geophysical Research Atmospheres. 117(D8). 44 indexed citations
11.
Dvorak, Michael J., et al.. (2012). US East Coast offshore wind energy resources and their relationship to peak‐time electricity demand. Wind Energy. 16(7). 977–997. 49 indexed citations
12.
Hoeve, John E. Ten & Mark Z. Jacobson. (2012). Worldwide health effects of the Fukushima Daiichi nuclear accident. Energy & Environmental Science. 5(9). 8743–8743. 265 indexed citations
13.
Hoeve, John E. Ten, L. A. Remer, & Mark Z. Jacobson. (2011). Microphysical and radiative effects of aerosols on warm clouds during the Amazon biomass burning season as observed by MODIS: impacts of water vapor and land cover. Atmospheric chemistry and physics. 11(7). 3021–3036. 58 indexed citations
14.
Jacobson, Mark Z. & John E. Ten Hoeve. (2011). Effects of Urban Surfaces and White Roofs on Global and Regional Climate. Journal of Climate. 25(3). 1028–1044. 127 indexed citations
15.
Creamean, Jessie M., Andrew P. Ault, John E. Ten Hoeve, et al.. (2011). Measurements of Aerosol Chemistry during New Particle Formation Events at a Remote Rural Mountain Site. Environmental Science & Technology. 45(19). 8208–8216. 52 indexed citations
17.
Kravtsov, Sergey, John E. Ten Hoeve, Steven B. Feldstein, Sukyoung Lee, & Seok-Woo Son. (2008). The Relationship between Statistically Linear and Nonlinear Feedbacks and Zonal-Mean Flow Variability in an Idealized Climate Model. Journal of the Atmospheric Sciences. 66(2). 353–372. 3 indexed citations
18.
Son, Seok-Woo, Sukyoung Lee, Steven B. Feldstein, & John E. Ten Hoeve. (2008). Time Scale and Feedback of Zonal-Mean-Flow Variability. Journal of the Atmospheric Sciences. 65(3). 935–952. 23 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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