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.
A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research
2006997 citationsYair Levy, Timothy J. Ellisprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Timothy J. Ellis
Since
Specialization
Citations
This map shows the geographic impact of Timothy J. Ellis'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 Timothy J. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy J. Ellis more than expected).
Fields of papers citing papers by Timothy J. Ellis
This network shows the impact of papers produced by Timothy J. Ellis. 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 Timothy J. Ellis. The network helps show where Timothy J. Ellis may publish in the future.
Co-authorship network of co-authors of Timothy J. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Ellis.
A scholar is included among the top collaborators of Timothy J. Ellis 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 Timothy J. Ellis. Timothy J. Ellis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Terrell, Steven R., et al.. (2017). The Relationship between the “Dark Triad” Personality Traits and Deviant Behavior on Social Networking Sites. Americas Conference on Information Systems.5 indexed citations
3.
Ellis, Timothy J., et al.. (2015). The Role of Microblogging Capacities in Knowledge Sharing and Collaboration in Virtual Teams. Journal of the Association for Information Systems.3 indexed citations
4.
Ellis, Timothy J., et al.. (2015). Knowledge Exchange via Unified Communication Services: A Grounded Theory Approach. Journal of the Association for Information Systems.4 indexed citations
5.
Ellis, Timothy J., et al.. (2013). Toward a Model for Customer-Driven Release Management. NSUWorks (Nova Southeastern University).6 indexed citations
6.
Ellis, Timothy J., et al.. (2013). Determining microblogging effectiveness for capturing quality knowledge. NSUWorks (Nova Southeastern University).5 indexed citations
7.
Ellis, Timothy J., et al.. (2013). Measuring Organizational Learning, Project Learning, and Project Success in IT Organizations. NSUWorks (Nova Southeastern University).2 indexed citations
Ellis, Timothy J.. (2001). Multimedia enhanced educational products as a tool to promote critical thinking in adult students. 10(2). 107–124.19 indexed citations
18.
Ellis, Timothy J., et al.. (2000). Defining a distant environment for teacher education. NSUWorks (Nova Southeastern University). 2000(1). 16–21.2 indexed citations
19.
Ellis, Timothy J.. (1999). Translating a College Course for Delivery over the World Wide Web.. 13(3). 1418.4 indexed citations
20.
Ellis, Timothy J.. (1992). Community Visioning: Generating Support and Action for Community Education.. 20(3). 16–20.1 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.