Krishnamurty Muralidhar
- Marketing top 2%
- Strategy and Management top 1%
- Accounting top 5%
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- Data Quality and Management 7
- Probability and Risk Models 5
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- Privacy-Preserving Technologies in Data 23
- Cryptography and Data Security 10
- Internet Traffic Analysis and Secure E-voting 4
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- Privacy, Security, and Data Protection 11
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- Statistical Methods and Inference 5
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- Information and Cyber Security 4
Krishnamurty Muralidhar
54 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Marketing 517
- Strategy and Management 767
- Accounting 288
- Management Science and Operations Research 263
- Information Systems and Management 127
Countries citing papers authored by Krishnamurty Muralidhar
This map shows the geographic impact of Krishnamurty Muralidhar'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 Krishnamurty Muralidhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnamurty Muralidhar more than expected).
Fields of papers citing papers by Krishnamurty Muralidhar
This network shows the impact of papers produced by Krishnamurty Muralidhar. 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 Krishnamurty Muralidhar. The network helps show where Krishnamurty Muralidhar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Krishnamurty Muralidhar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 9 | |
| 6 | A Free Ride: Data Brokers'Rent-Seeking Behavior and the Future of Data Inequality | 2018 | 1 |
| 7 | Fool's Gold: An Illustrated Critique of Differential Privacy | 2013 | 26 |
| 8 | 2012 | 5 | |
| 9 | Evaluating Laplace Noise Addition to Satisfy Differential Privacy for Numeric Data | 2011 | 93 |
| 10 | Generating Sufficiency-based Non-Synthetic Perturbed Data | 2008 | 18 |
| 11 | A comparison of multiple imputation and data perturbation for masking numerical variables | 2006 | 2 |
| 12 | 2006 | 77 | |
| 13 | Can You Have Your Cake and Eat It Too? Sharing Healthcare Data Without Compromising Privacy and Confidentiality. | 2005 | 1 |
| 14 | 1996 | 2 | |
| 15 | 1996 | 4 | |
| 16 | 1996 | 15 | |
| 17 | 1995 | 44 | |
| 18 | 1992 | 13 | |
| 19 | 1991 | 0 | |
| 20 | Appropriate sampling procedures for load research | 1986 | 3 |
About Krishnamurty Muralidhar
Krishnamurty Muralidhar is a scholar working on Management Science and Operations Research, General Energy and Artificial Intelligence, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (23 papers), Privacy, Security, and Data Protection (11 papers), Cryptography and Data Security (10 papers), Data Quality and Management (7 papers), Probability and Risk Models (5 papers), Statistical Methods and Inference (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Information and Cyber Security (4 papers). The work is most often cited by research in Marketing (517 citations), Strategy and Management (767 citations) and Accounting (288 citations). Krishnamurty Muralidhar has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Rathindra Sarathy, Karen Paul, Bernadette M. Ruf, Robert M. Brown, Jay J. Janney, Rahul Parsa, Rick L. Wilson, Radhika Santhanam, Josep Domingo‐Ferrer and Dinesh Batra. Their work appears in journals such as Management Science, Journal of Management and Journal of Business Ethics.
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.