Countries citing papers authored by Cynthia D’Angelo
Since
Specialization
Citations
This map shows the geographic impact of Cynthia D’Angelo'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 Cynthia D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia D’Angelo more than expected).
Fields of papers citing papers by Cynthia D’Angelo
This network shows the impact of papers produced by Cynthia D’Angelo. 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 Cynthia D’Angelo. The network helps show where Cynthia D’Angelo may publish in the future.
Co-authorship network of co-authors of Cynthia D’Angelo
This figure shows the co-authorship network connecting the top 25 collaborators of Cynthia D’Angelo.
A scholar is included among the top collaborators of Cynthia D’Angelo 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 Cynthia D’Angelo. Cynthia D’Angelo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Yanghee, Cynthia D’Angelo, Francesco Cafaro, et al.. (2020). Multimodal Data Analytics for Assessing Collaborative Interactions. IUScholarWorks (Indiana University). 2547–2554.3 indexed citations
D’Angelo, Cynthia, et al.. (2019). Mapping individual to group level collaboration indicators using speech data. Computer Supported Collaborative Learning.9 indexed citations
8.
D’Angelo, Cynthia, Daisy Rutstein, & Christopher Harris. (2016). Learning with STEM Simulations in the Classroom: Findings and Trends from a Meta-Analysis.. Educational Technology archive. 56(3). 58–61.10 indexed citations
D’Angelo, Cynthia, Jeremy Roschelle, & Harry Bratt. (2015). Using students’ speech to characterize group collaboration quality. Computer Supported Collaborative Learning. 819–820.1 indexed citations
12.
D’Angelo, Cynthia, et al.. (2014). Between the lines: The role of curriculum materials and teacher language in communicating ideas about scientific modeling. International Conference of Learning Sciences. 3. 1489–1490.1 indexed citations
13.
D’Angelo, Cynthia, Daisy Rutstein, Christopher Harris, et al.. (2014). Simulations for STEM learning: Systematic review and meta-analysis.96 indexed citations
14.
Chesler, Naomi C., Golnaz Arastoopour Irgens, Cynthia D’Angelo, Elizabeth Bagley, & David Williamson Shaffer. (2013). Design of a Professional Practice Simulator for Educating and Motivating First-Year Engineering Students.. AEE Journal. 3(3).45 indexed citations
15.
D’Angelo, Cynthia, Christopher Harris, & Daisy Rutstein. (2013). Systematic review and meta-analysis of STEM simulations. Computer Supported Collaborative Learning. 2. 239–240.2 indexed citations
16.
D’Angelo, Cynthia, Golnaz Arastoopour Irgens, Naomi C. Chesler, & David Williamson Shaffer. (2011). Collaborating in a virtual engineering internship. Computer Supported Collaborative Learning. 626–630.3 indexed citations
17.
Clark, Douglas B., et al.. (2010). SURGE: intended and unintended science learning in games. International Conference of Learning Sciences. 247–247.2 indexed citations
Clark, Douglas B., Brian C. Nelson, Pratim Sengupta, & Cynthia D’Angelo. (2009). Rethinking science learning through digital games and simulations: Genres, examples, and evidence.109 indexed citations
20.
Linn, Marcia C., Chris Quintana, Hsin‐Yi Chang, et al.. (2008). Improving the design and impact of interactive, dynamic visualizations for science learning. International Conference of Learning Sciences. 221–228.4 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.