R. C. Wolf

3.2k total citations
11 papers, 190 citations indexed

About

R. C. Wolf is a scholar working on Experimental and Cognitive Psychology, Computer Science Applications and Astronomy and Astrophysics. According to data from OpenAlex, R. C. Wolf has authored 11 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Experimental and Cognitive Psychology, 3 papers in Computer Science Applications and 2 papers in Astronomy and Astrophysics. Recurrent topics in R. C. Wolf's work include Intelligent Tutoring Systems and Adaptive Learning (2 papers), Innovative Teaching and Learning Methods (2 papers) and Climate Change Communication and Perception (2 papers). R. C. Wolf is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (2 papers), Innovative Teaching and Learning Methods (2 papers) and Climate Change Communication and Perception (2 papers). R. C. Wolf collaborates with scholars based in United States, Sweden and South Africa. R. C. Wolf's co-authors include Kristen Pilner Blair, Doris B. Chin, Nicole Hutchins, Gautam Biswas, Shuchi Grover, Kevin W. McElhaney, Maria Cutumisu, Miklós Maróti, Daniel L. Schwartz and Ákos Lédeczi and has published in prestigious journals such as Journal of the Learning Sciences, Journal of Science Education and Technology and Journal of Research on Technology in Education.

In The Last Decade

R. C. Wolf

9 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. C. Wolf United States 6 85 69 42 30 24 11 190
Esther Bagno Israel 10 30 0.4× 137 2.0× 260 6.2× 37 1.2× 9 0.4× 16 323
Juan R. Burciaga 4 18 0.2× 103 1.5× 239 5.7× 34 1.1× 9 0.4× 4 311
Erick Smith United States 6 25 0.3× 93 1.3× 312 7.4× 24 0.8× 10 0.4× 7 374
Elizabeth Gire United States 11 12 0.1× 137 2.0× 270 6.4× 42 1.4× 20 0.8× 38 356
Judy Hardy United Kingdom 10 45 0.5× 84 1.2× 205 4.9× 8 0.3× 14 0.6× 17 263
Ilana Arnon United States 7 37 0.4× 116 1.7× 348 8.3× 16 0.5× 12 0.5× 8 417
Elif İnce Türkiye 7 18 0.2× 42 0.6× 142 3.4× 10 0.3× 20 0.8× 28 216
Jennifer A. Czocher United States 9 18 0.2× 86 1.2× 194 4.6× 22 0.7× 15 0.6× 32 259
Dov Zazkis United States 9 49 0.6× 56 0.8× 194 4.6× 10 0.3× 9 0.4× 24 241
Jeffrey Nordine Germany 11 19 0.2× 125 1.8× 229 5.5× 28 0.9× 17 0.7× 25 307

Countries citing papers authored by R. C. Wolf

Since Specialization
Citations

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

Fields of papers citing papers by R. C. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. C. Wolf. 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 R. C. Wolf. The network helps show where R. C. Wolf may publish in the future.

Co-authorship network of co-authors of R. C. Wolf

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

All Works

11 of 11 papers shown
2.
Hutchins, Nicole, Gautam Biswas, R. C. Wolf, et al.. (2020). Computational Thinking in Support of Learning and Transfer. ICLS. 1 indexed citations
3.
Silvervarg, Annika, R. C. Wolf, Kristen Pilner Blair, Magnus Haake, & Agneta Gulz. (2020). How teachable agents influence students’ responses to critical constructive feedback. Journal of Research on Technology in Education. 53(1). 67–88. 16 indexed citations
4.
Hutchins, Nicole, Gautam Biswas, Miklós Maróti, et al.. (2019). C2STEM: a System for Synergistic Learning of Physics and Computational Thinking. Journal of Science Education and Technology. 29(1). 83–100. 83 indexed citations
5.
Farahi, Arya, R. Gupta, C. Krawiec, A. A. Plazas, & R. C. Wolf. (2019). Astronomers' and Physicists' Attitudes Toward Education and Public Outreach: A Programmatic Study of The Dark Energy Survey. 2(1). 3 indexed citations
6.
Chin, Doris B., et al.. (2019). Educating and Measuring Choice: A Test of the Transfer of Design Thinking in Problem Solving and Learning. Journal of the Learning Sciences. 28(3). 337–380. 53 indexed citations
7.
Farahi, Arya, R. Gupta, C. Krawiec, A. A. Plazas, & R. C. Wolf. (2018). Astronomers' and Physicists' Attitudes Towards Education & Public Outreach: A Case Study with The Dark Energy Survey. 1 indexed citations
8.
Wolf, R. C., C. B. D’Andrea, R. Gupta, et al.. (2016). SDSS-II SUPERNOVA SURVEY: AN ANALYSIS OF THE LARGEST SAMPLE OF TYPE IA SUPERNOVAE AND CORRELATIONS WITH HOST-GALAXY SPECTRAL PROPERTIES. Apollo (University of Cambridge). 16 indexed citations
9.
Jennings, Elise, R. C. Wolf, & M. Šako. (2016). A new approach for obtaining cosmological constraints from Type Ia Supernovae using Approximate Bayesian Computation. arXiv (Cornell University). 3 indexed citations
10.
Sidtis, Diana Van Lancker & R. C. Wolf. (2015). Pragmatic verbal repetition: review and application of a new method of quantification. Text and Talk. 35(2). 263–287. 6 indexed citations
11.
Wolf, R. C., Diana Van Lancker Sidtis, & John J. Sidtis. (2014). The ear craves the familiar: Pragmatic repetition in left and right cerebral damage. Aphasiology. 28(5). 596–615. 8 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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