Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Enhancing learning and engagement through embodied interaction within a mixed reality simulation
2016344 citationsRobb Lindgren, Michael Tscholl et al.Computers & Educationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael Tscholl
Since
Specialization
Citations
This map shows the geographic impact of Michael Tscholl'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 Tscholl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tscholl more than expected).
This network shows the impact of papers produced by Michael Tscholl. 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 Tscholl. The network helps show where Michael Tscholl may publish in the future.
Co-authorship network of co-authors of Michael Tscholl
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tscholl.
A scholar is included among the top collaborators of Michael Tscholl 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 Tscholl. Michael Tscholl 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
Lyons, Leilah, Emma Anderson, Karen Elinich, et al.. (2014). Synergistic scaffolding of technologically-enhanced STEM learning in informal institutions. Journal of International Crisis and Risk Communication Research. 3. 1456–1465.3 indexed citations
11.
Lindgren, Robb & Michael Tscholl. (2014). Enacted misconceptions: Using embodied interactive simulations to examine emerging understandings of science concepts. International Conference of Learning Sciences. 1. 341–347.4 indexed citations
12.
Tscholl, Michael, Robb Lindgren, & Emily Johnson. (2013). Enacting orbits. Journal of International Crisis and Risk Communication Research. 451–454.6 indexed citations
Tscholl, Michael & J.D. Dowell. (2008). Characterising knowledge construction through a process analysis of dialogues. UCL Discovery (University College London). 407–414.1 indexed citations
19.
Tscholl, Michael & J.D. Dowell. (2008). Analysing problem structuring in a collaborative explanation dialogue to capture conceptual change. UCL Discovery (University College London).1 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.