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.
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication
19922.2k citationsDennis A. Adams, R. Ryan Nelson et al.MIS Quarterlyprofile →
Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing
2005684 citationsR. Ryan Nelson, Peter Todd et al.Journal of Management Information Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by R. Ryan Nelson
Since
Specialization
Citations
This map shows the geographic impact of R. Ryan Nelson'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 R. Ryan Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Ryan Nelson more than expected).
This network shows the impact of papers produced by R. Ryan Nelson. 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 R. Ryan Nelson. The network helps show where R. Ryan Nelson may publish in the future.
Co-authorship network of co-authors of R. Ryan Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of R. Ryan Nelson.
A scholar is included among the top collaborators of R. Ryan Nelson 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 R. Ryan Nelson. R. Ryan Nelson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nelson, R. Ryan. (2010). IT Project Retrospectives: Learning from the Past through a Program of Action Research. Journal of the Association for Information Systems. 475.2 indexed citations
7.
Nelson, R. Ryan. (2007). IT Project Management: Infamous Failures, Classic Mistakes, and Best Practices.. Journal of the Association for Information Systems. 6(2). 4.229 indexed citations
8.
Nelson, R. Ryan. (2005). Project Retrospectives: Evaluating Project Success, Failure, and Everything in Between. Journal of the Association for Information Systems. 4(3). 5.113 indexed citations
9.
Nelson, R. Ryan, Peter Todd, & Barbara H. Wixom. (2005). Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing. Journal of Management Information Systems. 21(4). 199–235.684 indexed citations breakdown →
Adams, Dennis A., R. Ryan Nelson, & Peter Todd. (1992). Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication. MIS Quarterly. 16(2). 227–247.2242 indexed citations breakdown →
Nelson, R. Ryan & Paul H. Cheney. (1987). Training today's user. Datamation. 33(10). 121–122.3 indexed citations
17.
Chrisman, James J., Frank Hoy, Richard B. Robinson, & R. Ryan Nelson. (1987). Evaluating the Impact of SBDC Consulting: A Reply to Elstrott. Journal of Small Business Management. 25. 72.16 indexed citations
Chrisman, James J., et al.. (1985). The Impact of SBDC Consulting Activities. Journal of Small Business Management. 23. 1.16 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.