Article

Bhatnagar, Mohit ORCID: https://orcid.org/0000-0002-0821-9387 (2026) Evaluating the effectiveness of crowd wisdom and large language models for fantasy cricket team selection. Journal of the Operational Research Society. ISSN 0160-5682 (In Press)

Bhatnagar, Mohit ORCID: https://orcid.org/0000-0002-0821-9387 and Huchhanavar, Shivaraj S ORCID: https://orcid.org/0000-0001-6701-1677 (2026) Hybrid machine learning modelling with explainability for predicting case delays and durations in Indian lower courts. Journal of Big Data, 13 (4). pp. 1-30. ISSN 2196-1115

Bhatnagar, Mohit and Bhatnagar, Manya (2025) Analyzing key factors influencing IPL cricket scores using explainability and multimodal data. Journal of Quantitative Analysis in Sports. ISSN 1559-0410

Bhatnagar, Mohit and Huchhanavar, Shivaraj S (2025) Enhancing legal assistance with AI: A comprehensive approach to intent classification and domain specific model tuning. Artificial Intelligence and Law. ISSN 0924-8463 (In Press)

Book Section

Bhatnagar, Mohit ORCID: https://orcid.org/0000-0002-0821-9387 (2026) Multi-agentic Framework for Crafting Fantasy 11 Cricket Teams. In: Advances in Applied Operations Research and Analytics for Business Intelligence: Proceedings of International Conference on Emerging Trends in Business Analytics and Management Sciences 2024, Volume 2. Learning and Analytics in Intelligent Systems, 61 . Springer Nature, Singapore, pp. 457-473. ISBN 9789819554416

Bhatnagar, Mohit (2025) Enhancing career guidance through intent mining with large language models. In: Artificial Intelligence in Education Technologies: New Development and Innovative Practices. Lecture Notes on Data Engineering and Communications Technologies, 228 . Springer International Publishing AG, pp. 17-33. ISBN 9789819792559

Bhatnagar, Mohit and Huchhanavar, Shivaraj S (2024) Predicting delays in Indian lower courts using AutoML and decision forests. In: Computing, Internet of Things and Data Analytics : ICCIDA 2023. Studies in Computational Intelligence, 1145 . Springer, Cham, pp. 166-180. ISBN 978-3-031-53717-2