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.
How Do Suppliers Benefit from Information Technology Use in Supply Chain Relationships?1
Countries citing papers authored by Mani Subramani
Since
Specialization
Citations
This map shows the geographic impact of Mani Subramani'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 Mani Subramani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani Subramani more than expected).
This network shows the impact of papers produced by Mani Subramani. 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 Mani Subramani. The network helps show where Mani Subramani may publish in the future.
Co-authorship network of co-authors of Mani Subramani
This figure shows the co-authorship network connecting the top 25 collaborators of Mani Subramani.
A scholar is included among the top collaborators of Mani Subramani 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 Mani Subramani. Mani Subramani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Subramani, Mani, et al.. (2010). ICIS 2010 Proceedings - Thirty First International Conference on Information Systems. International Conference on Information Systems.8 indexed citations
Fonstad, Nils Olaya & Mani Subramani. (2009). Building Enterpise Alignment: A Case Study. Journal of the Association for Information Systems.26 indexed citations
7.
Curley, Shawn P., et al.. (2008). The Death of Distance?: The Influence of Computer Mediated Communication on Perceptions of Distance. Journal of the Association for Information Systems. 149.6 indexed citations
8.
Sambamurthy, V. & Mani Subramani. (2005). Special Issue on Information Technology and Knowledge Management. Journal of the Association for Information Systems. 29(1). 10.11 indexed citations
9.
Subramani, Mani, et al.. (2005). Being There Versus Being Wired: The Effect of Colocation on Social Capital in Distributed Teams. Journal of the Association for Information Systems.2 indexed citations
Subramani, Mani. (2004). How Do Suppliers Benefit from Information Technology Use in Supply Chain Relationships?1. MIS Quarterly. 28(1). 45–74.842 indexed citations breakdown →
12.
Subramani, Mani, et al.. (2004). Determinants of Helping Behaviors in Online Groups: A Conceptual Model.9 indexed citations
13.
Subramani, Mani & Sridhar Nerur. (2002). Examining the Intellectual Structure of Knowledge Management, 1990-2002 - An Author Co-citation Analysis *.15 indexed citations
Subramani, Mani, et al.. (2000). Examining the Effectiveness of Electronic Group Communication Technologies: The Role of the Conversation Interface.4 indexed citations
Sproull, Lee, Mani Subramani, Sara Kiesler, Janet Walker, & Keith Waters. (1996). When the Interface Is a Face. Human-Computer Interaction. 11(2). 97–124.297 indexed citations
20.
Iacono, Suzanne, Mani Subramani, & John C. Henderson. (1995). Entrepreneur Or Intermediary: The Nature of the Relationship Manager's Job. International Conference on Information Systems. 289–299.13 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.