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.
Consumer trust in an Internet store
20002.0k citationsMichael R. Vitale et al.profile →
Creating Competitive Advantage With Interorganizational Information Systems
1988510 citationsMichael R. Vitale et al.MIS Quarterlyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael R. Vitale
Since
Specialization
Citations
This map shows the geographic impact of Michael R. Vitale'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 Michael R. Vitale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Vitale more than expected).
Fields of papers citing papers by Michael R. Vitale
This network shows the impact of papers produced by Michael R. Vitale. 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 Michael R. Vitale. The network helps show where Michael R. Vitale may publish in the future.
Co-authorship network of co-authors of Michael R. Vitale
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Vitale.
A scholar is included among the top collaborators of Michael R. Vitale 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 Michael R. Vitale. Michael R. Vitale is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vitale, Michael R., et al.. (2013). Aggregating school based findings to support decision making: Implications for educational leadership. Issues in educational research. 23(1). 69–82.
3.
Romance, Nancy R. & Michael R. Vitale. (2012). Science IDEAS: A Research-Based K-5 Interdisciplinary Instructional Model Linking Science and Literacy.. Science educator. 21(1). 1–11.10 indexed citations
Romance, Nancy R. & Michael R. Vitale. (2011). An Integrated Interdisciplinary Model for Accelerating Student Achievement in Science and Reading Comprehension Across Grades 3-8: Implications for Research and Practice. Society for Research on Educational Effectiveness.4 indexed citations
6.
Vitale, Michael R., et al.. (2010). Implementing Spelling with Morphographs with Above-Average Students in Grade 2: Implications for DI of Comparisons with Demographically Similar Control Students in Grades 2-3-4-5.. 10(1). 17–28.2 indexed citations
Weill, Peter & Michael R. Vitale. (2002). What IT Infrastructure Capabilities are Needed to Implement E-Business Models?. Journal of the Association for Information Systems. 1(1). 3.216 indexed citations
10.
Masten, William G., et al.. (1999). Effects of Training in Textbook Comprehension Improvement Strategies with Teachers in Inclusive Classrooms.. Reading improvement. 36(4).1 indexed citations
11.
Mavrinac, Sarah C. & Michael R. Vitale. (1999). Hacia un sistema eficaz de medición del rendimiento. 6–12.
12.
Vitale, Michael R., et al.. (1999). Using Historical Cases To Change Teachers' Understandings and Practices Related to the Nature of Science..3 indexed citations
Vitale, Michael R., et al.. (1988). Creating Competitive Advantage With Interorganizational Information Systems. MIS Quarterly. 12(2). 153–165.510 indexed citations breakdown →
18.
Vitale, Michael R., et al.. (1986). LINKING INFORMATION TECHNOLOGY AND CORPORATE STRATEGY: AN ORGANIZATIONAL VIEW. Journal of the Association for Information Systems. 30.21 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.