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.
Design science in information systems research
20044.7k citationsAlan R. Hevner, Salvatore T. March et al.MIS Quarterlyprofile →
Design and natural science research on information technology
19952.2k citationsSalvatore T. March et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Salvatore T. March
Since
Specialization
Citations
This map shows the geographic impact of Salvatore T. March'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 Salvatore T. March with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore T. March more than expected).
Fields of papers citing papers by Salvatore T. March
This network shows the impact of papers produced by Salvatore T. March. 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 Salvatore T. March. The network helps show where Salvatore T. March may publish in the future.
Co-authorship network of co-authors of Salvatore T. March
This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore T. March.
A scholar is included among the top collaborators of Salvatore T. March 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 Salvatore T. March. Salvatore T. March 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.
March, Salvatore T., et al.. (2012). A Research Note on Representing Part-Whole Relations in Conceptual Modeling. SSRN Electronic Journal.
Srinivasan, Ananth, Salvatore T. March, & Carol Saunders. (2005). Information Technology and Organizational Contexts: Orienting Our Work Along Key Dimensions. Journal of the Association for Information Systems.11 indexed citations
4.
Hevner, Alan R., Salvatore T. March, Jinsoo Park, & Sudha Ram. (2004). Design science in information systems research. MIS Quarterly. 28(1). 75–105.4741 indexed citations breakdown →
Kauffman, Robert J., Salvatore T. March, & Charles Wood. (2000). Design principles for long‐lived Internet agents. Intelligent Systems in Accounting Finance & Management. 9(4). 217–236.17 indexed citations
March, Salvatore T. & Sangkyu Rho. (1996). Characterization and Analysis of a Nested Genetic Algorithm for Distributed Database Design. Seoul National University Open Repository (Seoul National University). 2.1 indexed citations
Rho, Sangkyu & Salvatore T. March. (1995). Designing Distributed Database Systems for Efficient Operation. Journal of the Association for Information Systems. 237–253.5 indexed citations
March, Salvatore T., et al.. (1986). SCRABBLE: A Local Database Management System.. 271–286.2 indexed citations
17.
Kahn, Beverly K. & Salvatore T. March. (1986). IRM and the System Life-Cycle.. IEEE Data(base) Engineering Bulletin. 9. 21–49.1 indexed citations
18.
Carlis, John V., Salvatore T. March, & Gary W. Dickson. (1981). Physical Database Design: A DSS Approach.. Journal of the Association for Information Systems. 23.1 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.