Michael Ranney

2.4k total citations
40 papers, 1.6k citations indexed

About

Michael Ranney is a scholar working on Education, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Michael Ranney has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 11 papers in Sociology and Political Science and 9 papers in Artificial Intelligence. Recurrent topics in Michael Ranney's work include Environmental Education and Sustainability (7 papers), Climate Change Communication and Perception (7 papers) and Science Education and Pedagogy (6 papers). Michael Ranney is often cited by papers focused on Environmental Education and Sustainability (7 papers), Climate Change Communication and Perception (7 papers) and Science Education and Pedagogy (6 papers). Michael Ranney collaborates with scholars based in United States, Australia and United Kingdom. Michael Ranney's co-authors include Florian G. Kaiser, Dav Clark, Peter A. Bowler, Terry Hartig, Sarah K. Brem, Marcelle A. Siegel, Brian J. Reiser, Douglas C. Merrill, J. Gregory Trafton and Gabor Doka and has published in prestigious journals such as Nature Climate Change, Journal of Environmental Psychology and Memory & Cognition.

In The Last Decade

Michael Ranney

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ranney United States 16 513 511 345 311 276 40 1.6k
Joe E. Heimlich United States 18 478 0.9× 698 1.4× 393 1.1× 84 0.3× 370 1.3× 76 1.5k
Semra Sungur Türkiye 29 259 0.5× 388 0.8× 1.9k 5.5× 954 3.1× 614 2.2× 89 2.8k
Jesse L. Preston United States 19 731 1.4× 108 0.2× 44 0.1× 56 0.2× 550 2.0× 35 1.3k
Martin Storksdieck United States 16 491 1.0× 288 0.6× 411 1.2× 207 0.7× 463 1.7× 42 1.6k
Albert Borgmann United States 15 575 1.1× 73 0.1× 142 0.4× 28 0.1× 162 0.6× 58 1.8k
Constantinos C. Manoli Cyprus 11 267 0.5× 454 0.9× 979 2.8× 476 1.5× 226 0.8× 14 1.7k
Muhammet Uşak Türkiye 22 147 0.3× 164 0.3× 526 1.5× 173 0.6× 495 1.8× 100 1.5k
Susanne Bögeholz Germany 17 178 0.3× 425 0.8× 687 2.0× 294 0.9× 347 1.3× 45 1.2k
Alfonso Montuori United States 18 287 0.6× 99 0.2× 242 0.7× 124 0.4× 185 0.7× 69 1.6k
Ian Bogost United States 16 1.2k 2.4× 31 0.1× 163 0.5× 411 1.3× 93 0.3× 38 2.2k

Countries citing papers authored by Michael Ranney

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ranney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ranney

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ranney. A scholar is included among the top collaborators of Michael Ranney 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 Michael Ranney. Michael Ranney 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.
Ranney, Michael, et al.. (2020). Global Warming, Nationalism, and Reasoning With Numbers: Toward Techniques to Promote the Public's Critical Thinking About Statistics.. Cognitive Science. 2 indexed citations
2.
Linden, Sander van der, Edward Maibach, John Cook, et al.. (2017). Culture versus cognition is a false dilemma. Nature Climate Change. 7(7). 457–457. 31 indexed citations
3.
Ranney, Michael & Dav Clark. (2016). Climate Change Conceptual Change: Scientific Information Can Transform Attitudes. Topics in Cognitive Science. 8(1). 49–75. 201 indexed citations
4.
Keane, Mark T., Jeffrey Loewenstein, Phil Maguire, et al.. (2014). Triangulating Surprise: Expectations, Uncertainty, and Making Sense. Arrow@dit (Dublin Institute of Technology). 36(36). 70–71. 1 indexed citations
5.
Clark, Dav, et al.. (2013). Knowledge Helps: Mechanistic Information and Numeric Evidence as Cognitive Levers to Overcome Stasis and Build Public Consensus on Climate Change. Cognitive Science. 35(35). 15 indexed citations
6.
Ranney, Michael, et al.. (2012). Changing Global Warming Beliefs with Scientific Information: Knowledge, Attitudes, and RTMD (Reinforced Theistic Manifest Destiny Theory). Cognitive Science. 34(34). 16 indexed citations
7.
Ranney, Michael, et al.. (2012). Improving Americans' Modest Global Warming Knowledge in the Light of RTMD (Reinforced Theistic Manifest Destiny) Theory. eScholarship (California Digital Library). 7 indexed citations
8.
Clark, Dav & Michael Ranney. (2010). Known knowns and unknown knowns: multiple memory routes to improved numerical estimation. eScholarship (California Digital Library). 460–467. 5 indexed citations
9.
Ranney, Michael, Luke Rinne, Louise Yarnall, et al.. (2008). Designing and assessing numeracy training for journalists: toward improving quantitative reasoning among media consumers. eScholarship (California Digital Library). 246–253. 14 indexed citations
10.
Rinne, Luke, Michael Ranney, & Nicholas H. Lurie. (2006). Estimation as a catalyst for numeracy: micro-interventions that increase the use of numerical information in decision-making. International Conference of Learning Sciences. 571–577. 10 indexed citations
11.
Munnich, Edward, et al.. (2005). The Longevities of Policy-Shifts and Memories Due to Single Feedback Numbers. eScholarship (California Digital Library). 27(27). 9 indexed citations
12.
Munnich, Edward, et al.. (2004). Numerically-Driven Inferencing in Instruction: The Relatively Broad Transfer of Estimation Skills. eScholarship (California Digital Library). 26(26). 11 indexed citations
13.
Ranney, Michael, et al.. (2004). Qualitative and Quantitative Effects of Surprise: (Mis)estimates, Rationales, and Feedback-Induced Preference Changes While Considering Abortion. eScholarship (California Digital Library). 26(26). 13 indexed citations
14.
Kaufman, David R., et al.. (2000). Was Apatosaurus a Vegan? Dinosaur Knowledge Rocks When Learning About Evolution. eScholarship (California Digital Library). 22(22). 1 indexed citations
15.
Kaiser, Florian G., Michael Ranney, Terry Hartig, & Peter A. Bowler. (1999). Ecological Behavior, Environmental Attitude, and Feelings of Responsibility for the Environment. European Psychologist. 4(2). 59–74. 311 indexed citations
16.
Ranney, Michael, et al.. (1996). Assessing spatial navigation tools with instructional hypermedia for cognitive science. International Conference of Learning Sciences. 36–43. 1 indexed citations
17.
Wolfe, Edward W. & Michael Ranney. (1996). Expertise in essay scoring. International Conference of Learning Sciences. 545–550. 7 indexed citations
18.
Ranney, Michael. (1994). "I Know One When I See One": How (Much) Do Hypotheses Differ from Evidence?. 5(1). 139–156. 1 indexed citations
20.
Thomas, David R., et al.. (1981). Interference in pigeons’ long-term memory viewed as a retrieval problem. Animal Learning & Behavior. 9(4). 581–586. 40 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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