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.
Beyond Accuracy: What Data Quality Means to Data Consumers
19962.7k citationsRichard Y. Wang, Diane M. Strongprofile →
Extending the technology acceptance model with task–technology fit constructs
19991.3k citationsMark T. Dishaw, Diane M. Strongprofile →
AIMQ: a methodology for information quality assessment
20021.0k citationsYang W. Lee, Diane M. Strong et al.profile →
Data quality in context
1997772 citationsDiane M. Strong, Yang W. Lee et al.profile →
Critical Realism and Affordances: Theorizing IT-Associated Organizational Change Processes1
2013372 citationsOlga Volkoff, Diane M. Strongprofile →
A Theory of Organization-EHR Affordance Actualization
2014371 citationsDiane M. Strong, Olga Volkoff et al.Journal of the Association for Information Systemsprofile →
Citations per year, relative to Diane M. Strong Diane M. Strong (= 1×)
peers
Zahir Irani
Countries citing papers authored by Diane M. Strong
Since
Specialization
Citations
This map shows the geographic impact of Diane M. Strong'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 Diane M. Strong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane M. Strong more than expected).
This network shows the impact of papers produced by Diane M. Strong. 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 Diane M. Strong. The network helps show where Diane M. Strong may publish in the future.
Co-authorship network of co-authors of Diane M. Strong
This figure shows the co-authorship network connecting the top 25 collaborators of Diane M. Strong.
A scholar is included among the top collaborators of Diane M. Strong 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 Diane M. Strong. Diane M. Strong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Tulu, Bengisu, Diane M. Strong, Emmanuel Agu, et al.. (2021). An Explainable Machine Learning Model for Chronic Wound Management Decisions.. Journal of the Association for Information Systems.1 indexed citations
2.
Djamasbi, Soussan, Diane M. Strong, E. Vance Wilson, & Carolina Ruiz. (2016). Designing and Testing User-Centric Systems with both User Experience and Design Science Research Principles. Americas Conference on Information Systems.9 indexed citations
3.
Strong, Diane M., et al.. (2014). Design of the Feedback Engine for a Diabetes Self-care Smartphone App. Journal of the Association for Information Systems.5 indexed citations
4.
Strong, Diane M., et al.. (2011). Autonomy and Electronic Health Records: Can We Have Both?. Journal of the Association for Information Systems.2 indexed citations
5.
Abraham, Chon, Miki Akiyama, Carol V. Brown, et al.. (2010). Healthcare IT Adoption under Different Government Models: Debating the HITECH Impacts. International Conference on Information Systems. 177.2 indexed citations
6.
Strong, Diane M., Olga Volkoff, Sharon A. Johnson, Isa Bar‐On, & Lori Pelletier. (2009). Electronic Health Records and the Changing Roles of Health Care Professionals: A Social Informatics Perspective. Journal of the Association for Information Systems. 560.3 indexed citations
7.
Strong, Diane M., et al.. (2005). Panel: Teaching with Enterprise Systems. Journal of the Association for Information Systems. 396.2 indexed citations
8.
Dishaw, Mark T. & Diane M. Strong. (2005). Examining Multiple Dimensions of Task Technology Fit. Journal of the Association for Information Systems. 372.4 indexed citations
9.
Strong, Diane M., et al.. (2004). Integrating Enterprise Decision-Making Modules into Undergraduate Management and Industrial Engineering Curricula. Journal of the Association for Information Systems. 15(3). 301–314.15 indexed citations
10.
Lee, Yang W. & Diane M. Strong. (2003). Process Knowledge and Data Quality Outcomes.. ICIQ. 96–107.7 indexed citations
11.
Strong, Diane M., Olga Volkoff, & Michael Elmes. (2003). ERP Systems and the Paradox of Control. Journal of the Association for Information Systems. 63.6 indexed citations
12.
Zhang, Ping, Izak Benbasat, Jane Carey, et al.. (2002). Human-Computer Interaction Research in the MIS Discipline. D-Scholarship@Pitt (University of Pittsburgh). 9(20). 334–355.39 indexed citations
13.
Strong, Diane M.. (2002). Recommendations for Information Quality Education.. ICIQ. 202.
14.
Kahn, Beverly K., et al.. (2001). Organizational Realism Meets Information Quality Idealism: The Challenges of Keeping an Information Quality Initiative Going.. 20–32.2 indexed citations
15.
Wang, Richard Y., Diane M. Strong, Beverly K. Kahn, & Yang W. Lee. (1999). An Information Quality Assessment Methodology: Extended Abstract.. 258–265.
16.
Pipino, Leo L., Yang W. Lee, Diane M. Strong, & Richard Y. Wang. (1999). Gestionar la información como un producto. Harvard-Deusto business review. 48–59.1 indexed citations
17.
Wang, Richard Y., Yang W. Lee, Leo L. Pipino, & Diane M. Strong. (1998). Manage Your Information as a Product. 39(4). 95–105.165 indexed citations
18.
Kahn, Beverly K. & Diane M. Strong. (1998). Product and Service Performance Model for Information Quality: An Update.. 102–115.40 indexed citations
19.
Wang, Richard Y., Yang W. Lee, & Diane M. Strong. (1996). Can You Defend Your Information in Court. 53–64.1 indexed citations
20.
Strong, Diane M.. (1988). Design and evaluation of information handling processes. UMI eBooks.3 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.