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.
Technology, Humanness, and Trust: Rethinking Trust in Technology
2015345 citationsNancy K. Lankton, D. Harrison McKnight et al.Journal of the Association for Information Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of John Tripp'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 John Tripp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tripp more than expected).
This network shows the impact of papers produced by John Tripp. 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 John Tripp. The network helps show where John Tripp may publish in the future.
Co-authorship network of co-authors of John Tripp
This figure shows the co-authorship network connecting the top 25 collaborators of John Tripp.
A scholar is included among the top collaborators of John Tripp 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 John Tripp. John Tripp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tripp, John, et al.. (2021). Gender and Racial Homophily in Email Networks and the Moderating Role of Business Unit on Network Structure: Evidence from a Large Financial Services Company. Journal of the Association for Information Systems.1 indexed citations
Tripp, John, Jeffrey Saltz, & Dan Turk. (2018). Introduction to agile and lean: Organizations, products, and development minitrack. Hawaii International Conference on System Sciences. 5423–5424.1 indexed citations
Leidner, Dorothy E., John Tripp, & Sixuan Zhang. (2016). Understanding the value of reputation systems in enterprise social media (ESM) - The impact on ESM engagement behaviors. Own your potential (DEAKIN).1 indexed citations
11.
Leidner, Dorothy E., John Tripp, & Sixuan Zhang. (2016). Understanding the value of reputation systems in enterprise social media (ESM)-mutual influence between online and offline performance. Own your potential (DEAKIN).1 indexed citations
Lankton, Nancy K., D. Harrison McKnight, & John Tripp. (2015). Technology, Humanness, and Trust: Rethinking Trust in Technology. Journal of the Association for Information Systems. 16(10). 880–918.345 indexed citations breakdown →
Lankton, Nancy K. & John Tripp. (2013). A Quantitative and Qualitative Study of Facebook Privacy using the Antecedent-Privacy Concern-Outcome Macro Model. Americas Conference on Information Systems.12 indexed citations
Pentland, Brian T., et al.. (2010). Want Pudding? An Analytic Model of the Benefits and Constraints of Process Standardization in Services. 170.2 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.