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.
Learning presence: Towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments
This map shows the geographic impact of Peter Shea'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 Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Shea more than expected).
This network shows the impact of papers produced by Peter Shea. 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 Shea. The network helps show where Peter Shea may publish in the future.
Co-authorship network of co-authors of Peter Shea
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Shea.
A scholar is included among the top collaborators of Peter Shea 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 Shea. Peter Shea is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shea, Peter & Temi Bidjerano. (2017). Online Learning in the 30 Community Colleges of the State University of New York: Differences in Outcomes between Classroom and Online Coursework. EdMedia + Innovate Learning. 1192–1198.7 indexed citations
6.
Shea, Peter & Temi Bidjerano. (2016). A National Study of Differences between Online and Classroom-Only Community College Students in Time to First Associate Degree Attainment, Transfer, and Dropout.. Online Learning. 20(3). 14–15.7 indexed citations
Shea, Peter. (2011). Learning Presence in the Community of Inquiry Model: Towards a Theory of Online Learner Self- and Co-regulation. EdMedia: World Conference on Educational Media and Technology. 2011(1). 2556–2565.2 indexed citations
Goldman, Ricki, Martha E. Crosby, Karen Swan, & Peter Shea. (2004). Qualitative and quisitive research methods for describing online learning. 95–112.9 indexed citations
15.
Shea, Peter, William Pelz, Eric Fredericksen, & Alexandra Pickett. (2002). ONLINE TEACHING AS A CATALYST FOR CLASSROOM-BASED INSTRUCTIONAL TRANSFORMATION. UR Research (University of Rochester).19 indexed citations
Shea, Peter, Eric Fredericksen, & Alexandra Pickett. (2000). Student Satisfaction and Perceived Learning in Internet-Based Higher Education. EdMedia: World Conference on Educational Media and Technology. 2000(1). 1067–1072.2 indexed citations
18.
Swan, Karen, Peter Shea, Eric Fredericksen, Alexandra Pickett, & William Pelz. (2000). Course Design Factors Influencing the Success of Online Learning. UR Research (University of Rochester). 2000(1). 513–518.54 indexed citations
19.
Pickett, Alexandra & Peter Shea. (1999). The Evolution of Faculty Development and Course Design at the SUNY Learning Network. World Conference on WWW and Internet. 1999(1). 1393–1394.1 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.