Countries citing papers authored by Eugene S. Takle
Since
Specialization
Citations
This map shows the geographic impact of Eugene S. Takle'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 Eugene S. Takle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene S. Takle more than expected).
This network shows the impact of papers produced by Eugene S. Takle. 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 Eugene S. Takle. The network helps show where Eugene S. Takle may publish in the future.
Co-authorship network of co-authors of Eugene S. Takle
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene S. Takle.
A scholar is included among the top collaborators of Eugene S. Takle 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 Eugene S. Takle. Eugene S. Takle is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Backlund, Peter, Lawrence Buja, Michael J. Walsh, et al.. (2020). USDA Climate Change Indicators for Agriculture: A New Framework for Understanding Climate Risks and Impacts to U.S. Agriculture.. AGU Fall Meeting Abstracts. 2020.2 indexed citations
Takle, Eugene S., et al.. (2015). Global warming – impacts of global climate change on the Midwest. Iowa State University Digital Repository (Iowa State University). 12(9). 1.1 indexed citations
9.
Takle, Eugene S., et al.. (2015). Global warming – impact of greenhouse gases. Iowa State University Digital Repository (Iowa State University). 12(5). 2.2 indexed citations
10.
Takle, Eugene S., et al.. (2015). Global warming – the science. Iowa State University Digital Repository (Iowa State University). 12(4). 2.1 indexed citations
Passe, Ulrike, et al.. (2012). Exploring Alternatives to the "Typical Meteorological Year" for Incorporating Climate Change into Building Design. Iowa State University Digital Repository (Iowa State University). 118(1). 384–391.4 indexed citations
13.
Takle, Eugene S., D. A. Rajewski, John H. Prueger, et al.. (2012). CWEX-10/11: Overview of Results From the First Two Crop/Wind-Energy Experiments. AGUFM. 2012.3 indexed citations
14.
Takle, Eugene S., et al.. (2004). BRIDGE FROST OCCURRENCE AND PREDICTION.1 indexed citations
15.
Takle, Eugene S., et al.. (2001). Virtual portfolios: Lessons learned from 4 years of implementation. Annual Conference on Computers. 135–142.5 indexed citations
16.
Sorensen, Elsebeth Korsgaard & Eugene S. Takle. (2001). Collaborative Knowledge Building in Web-Based Learning: Assessing the Quality of Dialogue.. International journal on e-learning. 1(1). 1772–1777.20 indexed citations
17.
Gutowski, William J., Eugene S. Takle, & Raymond W. Arritt. (1998). Meeting summary: Project to Intercompare Regional Climate Simulations. Bulletin of the American Meteorological Society. 79(4). 657.6 indexed citations
18.
Takle, Eugene S. & M. Taber. (1996). Use of the Web as a tool for interactive learning.. WebNet.2 indexed citations
19.
Takle, Eugene S. & Shiyuan Zhong. (1991). Iowa's Climate as Projected by the Global Climate Model of the Goddard Institute for Space Studies for a Doubling of Atmospheric Carbon Dioxide. UNI ScholarWorks (University of Northern Iowa). 98(4). 153–158.3 indexed citations
20.
Takle, Eugene S.. (1979). Wind Energy in Iowa. UNI ScholarWorks (University of Northern Iowa). 16(1). 22–28.1 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.