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 Information Management Capability Influences Firm Performance1
2011665 citationsSunil Mithas et al.MIS Quarterlyprofile →
Why Do Customer Relationship Management Applications Affect Customer Satisfaction?
2005575 citationsSunil Mithas, Mayuram S. Krishnan et al.profile →
Customer Satisfaction and Stock Prices: High Returns, Low Risk
2005547 citationsSunil Mithas, Mayuram S. Krishnan et al.profile →
Information Technology and Firm Profitability: Mechanisms and Empirical Evidence1
2012370 citationsSunil Mithas et al.MIS Quarterlyprofile →
Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations
This map shows the geographic impact of Sunil Mithas'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 Sunil Mithas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Mithas more than expected).
This network shows the impact of papers produced by Sunil Mithas. 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 Sunil Mithas. The network helps show where Sunil Mithas may publish in the future.
Co-authorship network of co-authors of Sunil Mithas
This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Mithas.
A scholar is included among the top collaborators of Sunil Mithas 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 Sunil Mithas. Sunil Mithas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mithas, Sunil, et al.. (2022). How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?. Production and Operations Management. 31(12). 4475–4487.126 indexed citations breakdown →
Mithas, Sunil, et al.. (2020). Information Technology Investments and Management Forecasts: Theory and Evidence. Journal of the Association for Information Systems.2 indexed citations
6.
Mithas, Sunil, et al.. (2019). The Information Technology Reporting Structure and Firm Performance: A Configurational Approach.. Journal of the Association for Information Systems.1 indexed citations
7.
Whitaker, Jonathan, et al.. (2018). Beauty is in the Eye of the Beholder: Toward a Contextual Understanding of Compensation of IT Professionals Within and Across Geographies. SSRN Electronic Journal. 1.1 indexed citations
8.
Hanelt, André, et al.. (2018). Does One Size Fit All? Theorizing Governance Configurations for Digital Innovation. Journal of the Association for Information Systems.6 indexed citations
9.
Schmidt, Christoph, Thomas Kude, Armin Heinzl, & Sunil Mithas. (2014). How Agile Practices Influence the Performance of Software Development Teams: The Role of Shared Mental Models and Backup. Journal of the Association for Information Systems.14 indexed citations
10.
Xue, Ling, Sunil Mithas, & Gautam Ray. (2014). Earnings Management and IT Investments: An Examination of IT Infrastructure Development. Journal of the Association for Information Systems.3 indexed citations
11.
Pang, Min‐Seok, Sunil Mithas, & Henry C. Lucas. (2013). How Channel Choice and Service Failure Influence Customer Satisfaction: The Case of Public Services. Journal of the Association for Information Systems.3 indexed citations
12.
Tafti, Ali, Sunil Mithas, & Mayuram S. Krishnan. (2012). The Effect of Information Technology-Enabled Flexibility on Formation and Market Value of Alliances. SSRN Electronic Journal.6 indexed citations
13.
Huang, Peng, Ali Tafti, & Sunil Mithas. (2012). Knowledge Contribution in Online Network of Practice: The Role of IT Infrastructure, Foreign Direct Investment and Immigration. Journal of the Association for Information Systems.4 indexed citations
14.
Kim, Keongtae & Sunil Mithas. (2011). How does Bond Market View IT investments of Firms? An Empirical Evidence of Bond Ratings and Yield Spreads.. Journal of the Association for Information Systems. 11(1). 45–9.4 indexed citations
15.
Mithas, Sunil, et al.. (2010). Green Information Technology, Energy Efficiency, and Profits: Evidence from an Emerging Economy. Journal of the Association for Information Systems.62 indexed citations
16.
Mithas, Sunil. (2008). Are Emerging Markets Different from Developed Markets? Human Capital, Sorting and Segmentation in Compensation of Information Technology Professionals. Journal of the Association for Information Systems. 135.4 indexed citations
Tafti, Ali, Sunil Mithas, & Mayuram S. Krishnan. (2007). Complementarities Between Information Technology and Human Resource Practices in Knowledge Work. Journal of the Association for Information Systems. 132.10 indexed citations
19.
Whitaker, Jonathan, Sunil Mithas, & Mayuram S. Krishnan. (2005). Antecedents of Onshore and Offshore Business Process Outsourcing. Journal of the Association for Information Systems.9 indexed citations
20.
Mithas, Sunil. (2003). Effect of Information Technology on Business Relationships and Firm Performance. Journal of the Association for Information Systems. 449.1 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.