Countries citing papers authored by Michael J. Jacobson
Since
Specialization
Citations
This map shows the geographic impact of Michael J. Jacobson'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 J. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Jacobson more than expected).
Fields of papers citing papers by Michael J. Jacobson
This network shows the impact of papers produced by Michael J. Jacobson. 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 J. Jacobson. The network helps show where Michael J. Jacobson may publish in the future.
Co-authorship network of co-authors of Michael J. Jacobson
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Jacobson.
A scholar is included among the top collaborators of Michael J. Jacobson 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 J. Jacobson. Michael J. Jacobson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jacobson, Michael J., et al.. (2018). Learning Nanoscience Concepts Through a Nanoscale Experience.. QUT ePrints (Queensland University of Technology).1 indexed citations
Markauskaitė, Lina, et al.. (2016). Analyzing Patterns of Emerging Understanding and Misunderstanding in Collaborative Science Learning: A Method for Unpacking Critical Turning Points.. QUT ePrints (Queensland University of Technology).1 indexed citations
7.
Jacobson, Michael J., Manu Kapur, & Peter Reimann. (2014). Towards a complex systems meta-theory of learning as an emergent phenomenon: Beyond the cognitive versus situative debate. ICLS.2 indexed citations
8.
Markauskaitė, Lina, et al.. (2013). From "Events" to "Activities": Creating Abstraction Techniques for Mining Students' Model-Based Inquiry Processes. Educational Data Mining. 280–283.
9.
Kelly, Nick, et al.. (2012). Agent-based computer models for learning about climate change and process analysis techniques. University of Southern Queensland ePrints (University of Southern Queensland).3 indexed citations
Jacobson, Michael J. & Manu Kapur. (2010). Ontologies as scale free networks: implications for theories of conceptual change. International Conference of Learning Sciences. 193–194.3 indexed citations
13.
Jacobson, Michael J., Deborah Richards, Shannon Kennedy‐Clark, et al.. (2010). Scenario-based MUVE for Science Inquiry. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 16. 47–52.1 indexed citations
Jacobson, Michael J., Uri Wilensky, Robert L. Goldstone, et al.. (2006). Complex systems in education: conceptual principles, methodologies, and implications for research in the learning sciences. International Conference of Learning Sciences. 1073–1077.1 indexed citations
16.
Jacobson, Michael J., et al.. (2005). Learning Sciences Principles for Advanced E-Learning Systems : Implications for Computer - assisted Language Learning. Multimedia-Assisted Language Learning. 8(1). 76–115.3 indexed citations
17.
Jacobson, Michael J., et al.. (2005). A Practical Buses Protocol for Anonymous Internet Communication..5 indexed citations
18.
Jacobson, Michael J., et al.. (1995). Learning with hypertext learning environments: theory, design, and research. 4(3). 239–281.89 indexed citations
19.
Jacobson, Michael J. & James A. Levin. (1995). Conceptual Frameworks for Network Learning Environments and Hypertext: Frameworks for Constructing Personal and Shared Knowledge Spaces. 1(4). 367–388.3 indexed citations
20.
Jacobson, Michael J.. (1994). Issues in hypertext and hypermedia research: toward a framework for linking theory-to-design. 3(2). 141–154.27 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.