| Content based image retrieval systems VN Gudivada, VV Raghavan Computer 28 (9), 18-22, 1995 | 1402 | 1995 |
| Information retrieval on the world wide web VN Gudivada, VV Raghavan, WI Grosky, R Kasanagottu IEEE Internet Computing 1 (5), 58-68, 1997 | 505 | 1997 |
| Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations V Gudivada, A Apon, J Ding International Journal on Advances in Software 10 (1), 1-20, 2017 | 489 | 2017 |
| Design and evaluation of algorithms for image retrieval by spatial similarity VN Gudivada, VV Raghavan ACM Transactions on Information Systems (TOIS) 13 (2), 115-144, 1995 | 443 | 1995 |
| Big data: Promises and problems VN Gudivada, R Baeza-Yates, VV Raghavan Computer 48 (03), 20-23, 2015 | 203 | 2015 |
| NoSQL systems for big data management VN Gudivada, D Rao, VV Raghavan 2014 IEEE World congress on services, 190-197, 2014 | 161 | 2014 |
| Understanding search-engine optimization VN Gudivada, D Rao, J Paris Computer 48 (10), 43-52, 2015 | 152 | 2015 |
| Cognitive analytics: Going beyond big data analytics and machine learning VN Gudivada, MT Irfan, E Fathi, DL Rao Handbook of statistics 35, 169-205, 2016 | 121 | 2016 |
| A survey of text representation and embedding techniques in nlp R Patil, S Boit, V Gudivada, J Nandigam IEEE Access 11, 36120-36146, 2023 | 111 | 2023 |
| Computational analysis and understanding of natural languages: principles, methods and applications CR Rao, VN Gudivada Elsevier, 2018 | 106 | 2018 |
| Modeling and retrieving images by content VN Gudivada, VV Raghavan Information processing & management 33 (4), 427-452, 1997 | 87 | 1997 |
| Big data driven natural language processing research and applications VN Gudivada, D Rao, VV Raghavan Handbook of statistics 33, 203-238, 2015 | 67 | 2015 |
| Cognitive computing: Theory and applications VV Raghavan, VN Gudivada, V Govindaraju, CR Rao Elsevier, 2016 | 63 | 2016 |
| /spl Theta//spl Rfr/-string: A geometry-based representation for efficient and effective retrieval of images by spatial similarity VN Gudivada IEEE Transactions on Knowledge and Data Engineering 10 (3), 504-512, 1998 | 63* | 1998 |
| A review of current trends, techniques, and challenges in large language models (llms) R Patil, V Gudivada Applied Sciences 14 (5), 2074, 2024 | 62 | 2024 |
| A machine learning based framework for verification and validation of massive scale image data J Ding, XH Hu, V Gudivada IEEE Transactions on Big Data 7 (2), 451-467, 2017 | 54 | 2017 |
| A unified approach to data modeling and retrieval for a class of image database applications VN Gudivada, VV Raghavan, K Vanapipat Multimedia database systems: issues and research directions, 37-78, 1996 | 52 | 1996 |
| Data analytics: fundamentals VN Gudivada Data analytics for intelligent transportation systems, 27-66, 2025 | 48 | 2025 |
| Augmentation and evaluation of training data for deep learning J Ding, XC Li, VN Gudivada 2017 IEEE international conference on big data (big data), 2603-2611, 2017 | 47 | 2017 |
| Data quality issues in big data D Rao, VN Gudivada, VV Raghavan 2015 IEEE International Conference on Big Data (Big Data), 2654-2660, 2015 | 46 | 2015 |
Vijay V RaghavanAlfred and Helen Lamson Endowed Professor in Computer Science, University of Louisiana at LafayetteVerified email at louisiana.edu
