David W. Shaffer

1.9k total citations
42 papers, 1.4k citations indexed

About

David W. Shaffer is a scholar working on Renewable Energy, Sustainability and the Environment, Developmental and Educational Psychology and Oncology. According to data from OpenAlex, David W. Shaffer has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Renewable Energy, Sustainability and the Environment, 7 papers in Developmental and Educational Psychology and 6 papers in Oncology. Recurrent topics in David W. Shaffer's work include Electrocatalysts for Energy Conversion (7 papers), Innovative Teaching and Learning Methods (6 papers) and Metal complexes synthesis and properties (6 papers). David W. Shaffer is often cited by papers focused on Electrocatalysts for Energy Conversion (7 papers), Innovative Teaching and Learning Methods (6 papers) and Metal complexes synthesis and properties (6 papers). David W. Shaffer collaborates with scholars based in United States, Poland and Denmark. David W. Shaffer's co-authors include Javier J. Concepcion, Yan Xie, David J. Szalda, Alan F. Heyduk, Dwight Meglan, Margaret Ferrell, Steven Dawson, Stéphane Cotin, Anna Lewandowska-Andrałojć and Ryan A. Zarkesh and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

David W. Shaffer

38 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
David W. Shaffer United States 18 609 282 248 247 238 42 1.4k
Tina Overton United Kingdom 22 60 0.1× 272 1.0× 109 0.4× 165 0.7× 251 1.1× 62 1.6k
Fangfang Zhu China 31 1.3k 2.1× 1.1k 3.8× 1.4k 5.8× 111 0.4× 52 0.2× 83 3.3k
Manuel Aguilar Villagrán Spain 16 70 0.1× 108 0.4× 52 0.2× 104 0.4× 182 0.8× 95 826
Shuhong Li China 25 160 0.3× 1.1k 3.8× 640 2.6× 88 0.4× 73 0.3× 91 2.3k
Eva Magnusson Sweden 23 1.0k 1.7× 919 3.3× 383 1.5× 53 0.2× 229 1.0× 71 2.5k
Nicola Corriero Italy 14 72 0.1× 858 3.0× 248 1.0× 338 1.4× 70 0.3× 46 1.5k
Thomas C. Richards United States 18 108 0.2× 86 0.3× 146 0.6× 35 0.1× 23 0.1× 55 990
David A. Summerville United States 14 114 0.2× 773 2.7× 132 0.5× 553 2.2× 43 0.2× 22 1.7k
Zhifang Huang China 14 266 0.4× 254 0.9× 252 1.0× 28 0.1× 49 0.2× 38 647
Min Peng China 16 160 0.3× 181 0.6× 80 0.3× 81 0.3× 17 0.1× 51 710

Countries citing papers authored by David W. Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by David W. Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Shaffer

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Shaffer. A scholar is included among the top collaborators of David W. Shaffer 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 W. Shaffer. David W. Shaffer 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.
Shaffer, David W., Yeyu Wang, & A. R. Ruis. (2025). Transmodal Analysis. Journal of Learning Analytics. 12(1). 271–292. 1 indexed citations
2.
Ye, Pingping, et al.. (2020). Versatile Electrochemical Plating Process Development for Heterogeneous WLP Structures. 19. 367–373. 2 indexed citations
3.
Ruis, A. R., et al.. (2019). Finding Common Ground: A Method for Measuring Recent Temporal Context in Analyses of Complex, Collaborative Thinking. Computer Supported Collaborative Learning. 11 indexed citations
4.
Ruis, A. R., et al.. (2019). Reading for Breadth, Reading for Depth: Understanding the Relationship Between Reading and Complex Thinking Using Epistemic Network Analysis.. Computer Supported Collaborative Learning. 5 indexed citations
5.
Siebert-Evenstone, Amanda & David W. Shaffer. (2019). Location, Location, Location: The Effects of Place in Place-Based Simulations.. Computer Supported Collaborative Learning.
6.
Cai, Zhiqiang, et al.. (2018). Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer Evaluation.. Educational Data Mining. 3 indexed citations
7.
Cai, Zhiqiang, Brendan Eagan, Nia Dowell, et al.. (2017). Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment.. Educational Data Mining. 3 indexed citations
8.
Swiecki, Zachari, et al.. (2017). Modeling Classifiers for Virtual Internships without Participant Data.. Educational Data Mining. 278–283. 1 indexed citations
9.
Rus, Vasile, et al.. (2017). Markov Analysis of Students' Professional Skills in Virtual Internships.. The Florida AI Research Society. 116–121.
10.
Markovetz, Matthew R., Sean D. Sullivan, Renee Clark, et al.. (2017). A Grounded Qualitative Analysis of the Effect of a Focus Group on Design Process in a Virtual Internship. International journal of engineering education. 33(6). 1834–1841. 2 indexed citations
11.
Swiecki, Zachari, et al.. (2016). Assessing Student-Generated Design Justifications in Engineering Virtual Internships.. Educational Data Mining. 496–501.
12.
Xie, Yan, David W. Shaffer, Anna Lewandowska-Andrałojć, David J. Szalda, & Javier J. Concepcion. (2016). Water Oxidation by Ruthenium Complexes Incorporating Multifunctional Bipyridyl Diphosphonate Ligands. Angewandte Chemie. 128(28). 8199–8203. 21 indexed citations
13.
Shaffer, David W., Indrani Bhowmick, Arnold L. Rheingold, et al.. (2016). Spin-state diversity in a series of Co(ii) PNP pincer bromide complexes. Dalton Transactions. 45(44). 17910–17917. 33 indexed citations
14.
Andrist, Sean, Wesley Collier, Michael Gleicher, Bilge Mutlu, & David W. Shaffer. (2015). Look together: analyzing gaze coordination with epistemic network analysis. Frontiers in Psychology. 6. 1016–1016. 38 indexed citations
15.
Shaffer, David W., Samantha I. Johnson, Arnold L. Rheingold, et al.. (2014). Reactivity of a Series of Isostructural Cobalt Pincer Complexes with CO2, CO, and H+. Inorganic Chemistry. 53(24). 13031–13041. 43 indexed citations
16.
Halverson, Richard, David W. Shaffer, Kurt Squire, & Constance Steinkuehler. (2006). Theorizing games in/and education. International Conference of Learning Sciences. 1048–1052. 14 indexed citations
17.
Svarovsky, Gina & David W. Shaffer. (2006). Design meetings and design notebooks as tools for reflection in the engineering design course. 7–12. 31 indexed citations
18.
Shaffer, David W.. (2005). Epistemic frames for epistemic games. Computers & Education. 46(3). 223–234. 265 indexed citations
19.
Shaffer, David W., et al.. (2001). Design principles for the use of simulation as an aid in interventional cardiology training. Minimally Invasive Therapy & Allied Technologies. 10(2). 75–82. 13 indexed citations
20.
Dawson, Steven, Stéphane Cotin, Dwight Meglan, David W. Shaffer, & Margaret Ferrell. (2000). Designing a computer-based simulator for interventional cardiology training. Catheterization and Cardiovascular Interventions. 51(4). 522–527. 89 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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