Rajendra K.C. Khatri
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Unknown Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Rajendra K.C. Khatri's research focuses on the application of deep learning models for financial market prediction. His recent work includes publications on predicting stock market indices and specifically the NEPSE index price using these advanced computational techniques. Khatri's scholarly contributions are reflected in his h-index of 3, with a total of three publications cited 312 times.
Metrics
- h-index: 3
- Publications: 3
- Citations: 337
Selected Publications
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Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives (2026)arXiv (Cornell University) OpenAlex
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Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives (2026)
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Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives (2026)
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Predicting NEPSE index price using deep learning models (2022)
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Predicting stock market index using LSTM (2022)
Collaboration Network
Top Collaborators
- Predicting stock market index using LSTM
- Predicting NEPSE index price using deep learning models
- Predicting stock market index using LSTM
- Predicting NEPSE index price using deep learning models
- Predicting stock market index using LSTM
- Predicting NEPSE index price using deep learning models
- Predicting stock market index using LSTM
- Predicting NEPSE index price using deep learning models
- Predicting stock market index using LSTM
- Predicting NEPSE index price using deep learning models
- Predicting NEPSE index price using deep learning models
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