David Changnon

2.5k total citations
64 papers, 1.6k citations indexed

About

David Changnon is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David Changnon has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David Changnon's work include Meteorological Phenomena and Simulations (31 papers), Climate variability and models (31 papers) and Hydrology and Drought Analysis (11 papers). David Changnon is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Climate variability and models (31 papers) and Hydrology and Drought Analysis (11 papers). David Changnon collaborates with scholars based in United States and Australia. David Changnon's co-authors include Stanley A. Changnon, Roger S. Pulwarty, Richard T. Sylves, Roger A. Pielke, Thomas R. Karl, Kenneth E. Kunkel, Linda O. Mearns, Camille Parmesan, Francis W. Zwiers and Terry L. Root and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Monthly Weather Review.

In The Last Decade

David Changnon

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Changnon United States 18 1.2k 897 159 147 123 64 1.6k
Peter Whetton Australia 15 1.2k 1.0× 860 1.0× 125 0.8× 169 1.1× 105 0.9× 17 1.6k
Stefan Sobolowski Norway 21 1.3k 1.0× 1.0k 1.2× 213 1.3× 115 0.8× 132 1.1× 61 1.7k
Peter Ambenje Kenya 4 901 0.7× 582 0.6× 149 0.9× 234 1.6× 113 0.9× 4 1.3k
Laban Ogallo Kenya 16 965 0.8× 466 0.5× 186 1.2× 277 1.9× 123 1.0× 33 1.4k
Gerald A. Meehl United States 12 1.6k 1.3× 1.2k 1.4× 245 1.5× 160 1.1× 92 0.7× 15 2.1k
Derek S. Arndt United States 17 1.1k 0.9× 953 1.1× 135 0.8× 83 0.6× 198 1.6× 25 1.7k
Andreas M. Fischer Switzerland 23 1.0k 0.8× 891 1.0× 143 0.9× 96 0.7× 156 1.3× 43 1.4k
Michael Tsiang United States 6 898 0.7× 591 0.7× 135 0.8× 158 1.1× 80 0.7× 7 1.3k
Michael C. MacCracken United States 22 1.1k 0.9× 898 1.0× 81 0.5× 60 0.4× 99 0.8× 58 1.6k
Jack Katzfey Australia 30 1.8k 1.5× 1.5k 1.7× 183 1.2× 225 1.5× 183 1.5× 69 2.5k

Countries citing papers authored by David Changnon

Since Specialization
Citations

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

Fields of papers citing papers by David Changnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Changnon

This figure shows the co-authorship network connecting the top 25 collaborators of David Changnon. A scholar is included among the top collaborators of David Changnon 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 David Changnon. David Changnon 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.
Gensini, Vittorio A., et al.. (2024). United States crop conditions: 1986–2022. Agronomy Journal. 116(3). 1397–1416. 2 indexed citations
2.
Changnon, David, et al.. (2018). Predicting major peach yield reductions in the Midwest and Southeast United States. Meteorological Applications. 26(1). 97–107.
3.
Changnon, David. (2017). A Spatial and Temporal Analysis of 30-Day Heavy Snowfall Amounts in the Eastern United States, 1900–2016. Journal of Applied Meteorology and Climatology. 57(2). 319–331. 7 indexed citations
4.
Gensini, Vittorio A., Alan W. Black, David Changnon, & Stanley A. Changnon. (2011). September 2008 Heavy Rains in Northeast Illinois: Meteorological Analysis and Impacts. 104. 1 indexed citations
5.
Changnon, David, et al.. (2007). Improving our Understanding of Helicoverpa zea Migration in the Midwest: Assessment of Source Populations. Plant Health Progress. 8(1). 15 indexed citations
6.
Changnon, David & Stanley A. Changnon. (2007). Snowstorm Dimensions Across the Central and Eastern United States. Physical Geography. 28(3). 218–232. 5 indexed citations
7.
Changnon, Stanley A., Kenneth E. Kunkel, & David Changnon. (2007). IMPACTS OF RECENT CLIMATE ANOMALIES: LOSERS AND WINNERS. IDEALS (University of Illinois Urbana-Champaign). 1 indexed citations
8.
Changnon, Stanley A., David Changnon, & Thomas R. Karl. (2006). Temporal and Spatial Characteristics of Snowstorms in the Contiguous United States. Journal of Applied Meteorology and Climatology. 45(8). 1141–1155. 51 indexed citations
9.
Changnon, David & Stanley A. Changnon. (2005). A Very White Christmas. Weatherwise. 58(5). 37–41. 2 indexed citations
10.
Changnon, David. (2004). Supplement to Improving Outreach in Atmospheric Sciences: Assessment of Users of Climate Products. Bulletin of the American Meteorological Society. 85(4). 606–606. 9 indexed citations
11.
Changnon, David, et al.. (2002). Efforts to improve predictions of urban winter heating anomalies using various climate indices. Meteorological Applications. 9(1). 105–111. 1 indexed citations
12.
Changnon, Stanley A. & David Changnon. (2001). Long-Term Fluctuations in Thunderstorm Activity in the United States. Climatic Change. 50(4). 489–503. 35 indexed citations
13.
Changnon, David. (2000). Who Used and Benefitted From the El Niño Forecasts. 4 indexed citations
14.
Changnon, Stanley A. & David Changnon. (2000). Long-Term Fluctuations in Hail Incidences in the United States. Journal of Climate. 13(3). 658–664. 56 indexed citations
15.
Changnon, David, et al.. (1999). Interactions with a Weather-Sensitive Decision Maker: A Case Study Incorporating ENSO Information into a Strategy for Purchasing Natural Gas. Bulletin of the American Meteorological Society. 80(6). 1117–1125. 13 indexed citations
16.
Changnon, David & Stanley A. Changnon. (1998). Climatological relevance of major USA weather losses during 1991–1994. International Journal of Climatology. 18(1). 37–48. 4 indexed citations
17.
Changnon, David, Thomas B. McKee, & Nolan J. Doesken. (1993). Annual Snowpack Patterns across the Rockies: Long-Term Trends and Associated 500-mb Synoptic Patterns. Monthly Weather Review. 121(3). 633–647. 43 indexed citations
18.
Changnon, David, Thomas B. McKee, & Nolan J. Doesken. (1990). Hydroclimatic Variability in the Rocky Mountain Region.. Digital Collections of Colorado (Colorado State University). 5 indexed citations
19.
Changnon, Stanley A., et al.. (1980). Illinois Third Consecutive Severe Winter: 1978-1979. 9 indexed citations
20.
Changnon, Stanley A. & David Changnon. (1978). RECORD WINTER STORMS IN ILLINOIS, 1977-1978. 3 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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