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.
Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems
This map shows the geographic impact of Peter Reimann'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 Peter Reimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Reimann more than expected).
This network shows the impact of papers produced by Peter Reimann. 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 Peter Reimann. The network helps show where Peter Reimann may publish in the future.
Co-authorship network of co-authors of Peter Reimann
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Reimann.
A scholar is included among the top collaborators of Peter Reimann 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 Peter Reimann. Peter Reimann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vatrapu, Ravi, et al.. (2013). Towards Teaching Analytics: Repertory Grids for Formative Assessment (RGFA). CBS Research Portal (Copenhagen Business School). 422–426.2 indexed citations
8.
Wecker, Christof, Ard W. Lazonder, Jennifer L. Chiu, et al.. (2012). Building upon what is already there: The role of prior knowledge, background information, and scaffolding in inquiry learning. Data Archiving and Networked Services (DANS). 17–24.
9.
Aditomo, Anindito, Kate Thompson, & Peter Reimann. (2012). Examining system dynamics models together: Using variation theory to identify learning opportunities in online collaboration. QUT ePrints (Queensland University of Technology).
Reimann, Peter, Michael K. Reiter, Holger Schwarz, Dimka Karastoyanova, & Frank Leymann. (2011). SIMPL - A Framework for Accessing External Data in Simulation Workflows. Data Archiving and Networked Services (DANS). 534–553.13 indexed citations
12.
Aditomo, Anindito, Rafael A. Calvo, & Peter Reimann. (2011). Collaborative writing: Too much of a good thing? Exploring engineering students' perceptions using the Repertory Grid. Ubaya Repository (University of Surabaya).1 indexed citations
Markauskaitė, Lina & Peter Reimann. (2008). Enhancing and scaling-up design-based research: the potential of e-research. International Conference of Learning Sciences. 27–34.8 indexed citations
17.
Markauskaitė, Lina & Peter Reimann. (2008). Enabling Teacher-Led Innovation and Research: A Conceptual Design of an Inquiry Framework for ICT-Enhanced Teacher Innovation. EdMedia: World Conference on Educational Media and Technology. 2008(1). 3484–3493.4 indexed citations
18.
Reimann, Peter, et al.. (2007). Decision making patterns in virtual teams. QUT ePrints (Queensland University of Technology).3 indexed citations
19.
Reimann, Peter. (2007). Generating BPEL Processes from a BPEL4Chor Description. Fachbereich Informatik (University of Stuttgart).2 indexed citations
20.
Reimann, Peter & Michael Bošnjak. (1998). Supporting Hypertext-based Argumentation Skills. EdMedia: World Conference on Educational Media and Technology. 1998(1). 79–81.1 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.