This map shows the geographic impact of Marcela Borge'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 Marcela Borge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcela Borge more than expected).
This network shows the impact of papers produced by Marcela Borge. 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 Marcela Borge. The network helps show where Marcela Borge may publish in the future.
Co-authorship network of co-authors of Marcela Borge
This figure shows the co-authorship network connecting the top 25 collaborators of Marcela Borge.
A scholar is included among the top collaborators of Marcela Borge 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 Marcela Borge. Marcela Borge is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Xia, Yu & Marcela Borge. (2020). Collaborative Agency that Drives Collaborative Problem-Solving and Learning.. International Conference of Learning Sciences. 1221–1228.1 indexed citations
4.
Aldemir, Tugce & Marcela Borge. (2020). Unpacking collaborative sense-making: The role of reflective accuracy in collaborative process quality. International Conference of Learning Sciences. 1709–1712.1 indexed citations
Xia, Yu & Marcela Borge. (2019). A systematic review of the quantification of qualitative data in the proceedings of international conferences of cscl from 2005 to 2017. Computer Supported Collaborative Learning.2 indexed citations
7.
Xia, Yu, et al.. (2019). Exploring students’ self-assessment on collaborative process, calibration, and metacognition in an online discussion environment. Computer Supported Collaborative Learning. 945–946.
Jung, Yong Ju, et al.. (2017). Children’s participation in rulemaking to mitigate process problems in CSCL. Computer Supported Collaborative Learning. 652–655.1 indexed citations
10.
Borge, Marcela, et al.. (2017). Exploring the Expression of Curiosity in Design Learning Environments..1 indexed citations
11.
Smith, Brian, Marcela Borge, Emma Mercier, & Kyu Yon Lim. (2017). Making a Difference: Prioritizing Equity and Access in CSCL: 12th International Conference on Computer Supported Collaborative Learning (CSCL) 2017, Volume 1. Computer Supported Collaborative Learning.6 indexed citations
12.
Borge, Marcela, et al.. (2016). Joint idea-building in online collaborative group discussions. International Conference of Learning Sciences. 266–273.1 indexed citations
13.
Borge, Marcela & Carolyn Penstein Rosé. (2016). Automated feedback on group processes: An experience report. Educational Data Mining.2 indexed citations
14.
Jung, Yong Ju, et al.. (2016). Problems with different interests of learners in an informal CSCL setting. International Conference of Learning Sciences. 878–881.2 indexed citations
15.
Borge, Marcela, et al.. (2015). Activity design models to support the development of high quality collaborative processes in online settings. Computer Supported Collaborative Learning. 427–434.9 indexed citations
Borge, Marcela & John M. Carroll. (2010). Using collaborative activity as a means to explore student performance and understanding. International Conference of Learning Sciences. 889–896.10 indexed citations
20.
Borge, Marcela. (2007). Regulating social interactions: Developing a functional theory of collaboration. PhDT.5 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.