Mukkai S. Krishnamoorthy

Rensselaer Polytechnic Institute

Papers

1

Total Citations

51

H-Index

1

About

Mukkai S. Krishnamoorthy is a distinguished computer scientist whose research spans web usage mining, markup languages, and data analytics. He is best known for pioneering LOGML (Log Markup Language), a specialized XML-based language designed to represent and analyze web server logs for mining user behavior patterns. His seminal 2002 paper on LOGML, which has garnered over 50 citations, laid the groundwork for transforming raw web data into structured, analyzable formats, enabling more effective personalization and site optimization. Beyond this, Krishnamoorthy has contributed to algorithms for pattern discovery and data mining, with his work influencing both academic research and practical web analytics tools. His interdisciplinary approach bridges theoretical foundations with real-world applications, making his research highly cited in the fields of information retrieval and human-computer interaction. A respected educator and mentor, he has shaped generations of researchers at Rensselaer Polytechnic Institute, where his legacy includes advancing the understanding of how markup languages can unlock insights from complex, unstructured data.

Research Focus

Key Achievements

1
H-Index
1
Papers
51
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
LOGML: Log Markup Language for Web Usage Mining
51 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Rensselaer Polytechnic Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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