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.
Institutional Factors in Information Technology Innovation
1994561 citationsJohn Leslie King, Vijay Gurbaxani et al.profile →
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 K. S. Raman'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 K. S. Raman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Raman more than expected).
This network shows the impact of papers produced by K. S. Raman. 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 K. S. Raman. The network helps show where K. S. Raman may publish in the future.
Co-authorship network of co-authors of K. S. Raman
This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Raman.
A scholar is included among the top collaborators of K. S. Raman 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 K. S. Raman. K. S. Raman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Xin Wei, et al.. (2004). The development of an augmented constrained-efficiency framework for the adoption of electronic interorganizational governance.. European Conference on Information Systems. 1964–1975.1 indexed citations
3.
Raman, K. S., et al.. (2003). An exploratory case study on IS implementation and organizational change in China.. Journal of the Association for Information Systems. 1062–1072.4 indexed citations
Raman, K. S. & Richard T. Watson. (1994). National culture, information systems, and organizational implications. IGI Global eBooks. 493–513.9 indexed citations
9.
Watson, Richard T., Teck‐Hua Ho, & K. S. Raman. (1994). Culture: A Fourth Dimension of Group Support.. Communications of the ACM. 37. 44–55.4 indexed citations
Huang, Wei, K. S. Raman, & Kwok‐Kee Wei. (1993). A PROCESS STUDY OF EFFECTS OF GSS AND TASK TYPE ON INFORMATIONAL AND NORMATIVE INFLUENCE IN SMALL GROUPS. Journal of the Association for Information Systems. 91–101.20 indexed citations
13.
Yap, C. T., James Y.L. Thong, & K. S. Raman. (1993). Government incentives and small business computerisation: An empirical study.. European Conference on Information Systems. 198–212.1 indexed citations
Bjørn‐Andersen, Niels, et al.. (1992). Cross-Cultural Research in IS.. International Conference on Information Systems. 296.3 indexed citations
16.
Gable, Guy G. & K. S. Raman. (1992). Government initiatives for IT adoption in small businesses: experiences of the Singapore Small Enterprise Computerization Program.24 indexed citations
Gurbaxani, Vijay, et al.. (1990). INSTITUTIONS AND THE INTERNATIONAL DIFFUSION OF INFORMATION TECHNOLOG. Journal of the Association for Information Systems. 29.20 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.