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.
An Investigation of the Relationship between Self-Efficacy Beliefs about Technology Integration and Technological Pedagogical Content Knowledge (TPACK) among Preservice Teachers
This map shows the geographic impact of Jason Abbitt'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 Jason Abbitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Abbitt more than expected).
This network shows the impact of papers produced by Jason Abbitt. 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 Jason Abbitt. The network helps show where Jason Abbitt may publish in the future.
Co-authorship network of co-authors of Jason Abbitt
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Abbitt.
A scholar is included among the top collaborators of Jason Abbitt 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 Jason Abbitt. Jason Abbitt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abbitt, Jason, et al.. (2013). Using SMS texting to reduce procrastination in large-enrollment courses: An Exploratory Study. Society for Information Technology & Teacher Education International Conference. 2013(1). 3119–3121.1 indexed citations
7.
Abbitt, Jason, et al.. (2013). An Investigation of the Impact of an Intervention to Reduce Academic Procrastination Using Short Message Service (SMS) Technology.. 12(3). 78–102.20 indexed citations
8.
Abbitt, Jason, et al.. (2011). Development and Validation of a Survey to Measure TPACK for Preservice Science Educators. Society for Information Technology & Teacher Education International Conference. 2011(1). 4238–4241.1 indexed citations
Abbitt, Jason, et al.. (2009). Exploring the Potential Perceptions of Social Networking Systems in University Courses.79 indexed citations
14.
Abbitt, Jason, et al.. (2008). Exploring the possibilities of using social networking sites in online learning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2008(1). 540–540.
15.
Abbitt, Jason, et al.. (2008). What We Know About the Impacts of WebQuests: A Review of Research. 16(4). 441–456.40 indexed citations
16.
Abbitt, Jason & Michael Odell. (2007). Using social bookmarking to enhance an undergraduate educational technology course. Society for Information Technology & Teacher Education International Conference. 2007(1). 2284–2287.1 indexed citations
17.
Abbitt, Jason. (2007). Exploring the Educational Possibilities for a UserDriven Social Content System in an Undergraduate Course.16 indexed citations
18.
Abbitt, Jason. (2006). Developing an Evaluation Framework for a Custom-designed Course Management System. 5(2). 191–216.5 indexed citations
19.
Abbitt, Jason. (2005). The development of an evaluation framework for a Web-based course management system in higher education. 1–129.1 indexed citations
20.
O’Dell, Mike, et al.. (1999). Developing Online Courses: A Comparison of Web-based Instruction with Traditional Instruction. Society for Information Technology & Teacher Education International Conference. 1999(1). 126–130.15 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.