B. Pattanaik, S. Mandal, R. M. Tripathy, A. A. Sekh (2025) Ensemble approach to rumor detection with BERT, GPT, and POS features, International Journal of Informatics and Communication Technology (IJ-ICT) Vol. 14, No. 1, April 2025, pp. 276∼286 ISSN: 2252-8776, DOI: http://doi.org/10.11591/ijict.v14i1.pp276-286

S. K. Patra, S. K. Paikray and R. M. Tripathy (2025), A retailers inventory model for deteriorating items under power pattern demand with shortages partially backlogged in both crisp and fuzzy environments, International Journal of Industrial and Systems Engineering, 2025 Vol.49 No.1, pp.96 - 118, https://doi.org/10.1504/IJISE.2025.144083

B. Pattanaik, S. Mandal, R. M. Tripathy, and A. A. Sekh (2024) Rumor detection using dual embeddings and text-based graph convolutional network. Discover Artificial Intelligence 4, 86 https://doi.org/10.1007/s44163-024-00193-6

P. K. Pattanayak, R. M. Tripathy, and S. Padhy (2024) A Semi-supervised Approach of Cluster-Based Topic Modeling for Effective Tweet Hashtag Recommendation. SN COMPUTER SCIENCE. 5, 951 https://doi.org/10.1007/s42979-024-03299-x

P. Pattanayak, R.M. Tripathy and S.Padhy (2024), A semi-supervised approach of short text topic modeling using embedded fuzzy clustering for Twitter hashtag recommendation, Discover Sustainability, Volume 5, article number 56, https://doi.org/10.1007/s43621-024-00218-1

P. Pattanayak, R.M. Tripathy and S. Padhy, (2024) A Novel Heuristic For Graph-based Topic Modeling Using Spectral Clustering, Journal of Theoretical and Applied Information Technology, Vol-102, No-2

B. Pattanaik, S. Mandal and R. M. Tripathy, (2023). A survey on rumor detection and prevention in social media using deep learning. Knowl Inf Syst. https://doi.org/10.1007/s10115-023-01902-w

R. M. Tripathy, A. Bagchi and S. Mehta (2013), Towards combating rumors in social networks: Models and metrics, Intelligent Data Analysis, vol. 17, no. 1, pp. 149-175, 2013, https://dl.acm.org/doi/10.5555/2595545.2595553

Rudra M. Tripathy, 2018, Topic Diffusion and Emergence of Virality in Social Networks,

Construction and Analysis of Disaster Image Datasets from Social Media for Open World Few Shot Settings, N Sen, S Chattopadhyay, RM Tripathy, AA Sekh 2025 International Conference on Artificial intelligence and Emerging Technologies (ICAIET)

MythBuster: A Comparative Analysis of Few Machine Learning and Deep Learning Models for Fake News Detection, B Pattanaik, P Mukherjee, S Mandal, R Basak, RM Tripathy, International Conference on Computational Technologies and Electronics, P184-195, 2023

Om Patra and Rudra M. Tripathy, (2021, Dec 16-18) A Comparative Survey on Face Recognition Techniques, 19th OITS International Conference on Information Technology

Theme Based Clustering of Tweets, Rudra M. Tripathy, Sameep Mehta, Sachindra Joshi, Shashank Sharma and Amitabha Bagchi, In CoDS ’14: Proceedings of the 1st IKDD Conference on Data Sciences, pp 1-5, March 2014.

Temporal Analysis of User Behavior and Topic Evolution on Twitter, Mona Jain, S. Rajyalakshmi, Rudra M. Tripathy and Amitabha Bagch, In BDA ’13: Proceedings of the 2nd International Conference on Big Data Analytics, Lecture Notes in Computer Science Volume 8302, pp 22-36, December 2013.

Complex Network Characteristics and Performance in Cricket, Rudra M. Tripathy, Amitabha Bagchi and Mona Jain, In BDA ’13: Proceedings of the 2nd International Conference on Big Data Analytics, Lecture Notes in Computer Science Volume 8302, pp 133-150, December 2013.

Spatio-Temporal and Events based Analysis of Topic Popularity in Twitter, Sebastien Ardon, Amitabha Bagchi, Anirban Mahanti, Amit Ruhela, Aaditeshwar Seth, Rudra M. Tripathy and Sipat Triukose, In CIKM ’13: Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, pp 219-228, November 2013.

Towards the use of Online Social Networks for Efficient Internet Content Distribution, Amit Ruhela, Rudra M. Tripathy, Sipat Triukose, Amitabha Bagchi, Sebastien Ardon, Aaditeshwar Seth, In ANTS ’11: Proceedings of 5th IEEE International Conference on Advance Networks and Telecommunication, pp 1-6, Bangalore, India, 2011.

A study of rumor control strategies on social networks, Rudra M. Tripathy, Amitabha Bagchi, Sameep Mehta, In CIKM ’10: Proceedings of 19th ACM International Conference on Information and Knowledge Management, pp 1817-1820, Toronto, Canada, 2010.

B. Pattanaik, S. Mandal, R.M. Tripathy, A.A. Sekh (2026). Explainable Rumor Detection Using Topic Modeling. In: D.K. Kole, S. Saha, S. Basu, P. Górecki, D. Bhattacharjee (eds) Proceedings of 5th International Conference on Frontiers in Computing and Systems. COMSYS 2024. Lecture Notes in Networks and Systems, vol 1488. Springer, Singapore.