Sudeep Sharma Data-verified
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Biography and Research Information
OverviewAI-generated summary
Sudeep Sharma's research interests encompass the application of computational methods to diverse fields. His recent publications include "Analysis of Indian Electoral Manifestos using Text Mining and Natural Language Processing" (2024) and "Intrusion Detection in Database Management System Using Machine Learning" (2025). He also investigates behavioral and economic topics, as evidenced by "Trust Propensity Congruence in Negotiations: Impacts on Joint Gains" (2025) and "Managing “No” to Work-Related Requests: What, Really, Do We Know?" (2022).
Sharma has a scholarly record with an h-index of 11, based on 33 publications that have garnered 527 citations. He collaborates with other researchers at the University of Arkansas at Fayetteville, including Mayeesha Mahzabin, with whom he shares one publication. Sharma's work demonstrates a recent activity level indicated by his 2025 publications.
Metrics
- h-index: 11
- Publications: 33
- Citations: 527
Selected Publications
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Intrusion Detection in Database Management System Using Machine Learning (2025)
Collaboration Network
Top Collaborators
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Trust Propensity Congruence in Negotiations: Impacts on Joint Gains
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Managing “No” to Work-Related Requests: What, Really, Do We Know?
- Analysis of Indian Electoral Manifestos using Text Mining and Natural Language Processing
- Trust Propensity Congruence in Negotiations: Impacts on Joint Gains
- Intrusion Detection in Database Management System Using Machine Learning
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