Kamath, R.S., Kaushik, M.R. & Ramakrishna, M. "Opinion mining using ensemble model for restaurant feedback analysis". Discov Computing 28, 125 (2025). https://doi.org/10.1007/s10791-025-09583-5. (Cite Score: Q2- 73%)
Fouzar Y, Lakhssassi A, and Mundugar R. "Secure Video Communication Using Multi-Equation Multi-Key Hybrid Cryptography". Future Internet. 2023; 15(12):387. https://doi.org/10.3390/fi15120387. (Impact Factor: 3.4, Cite Score: Q1- 85%)
Modi, N., Ramakrishna, M. "An investigation of camera movements and capture techniques on optical flow for real-time rendering and presentation". J Real-Time Image Proc 20, 60 (May 2023). https://doi.org/10.1007/s11554-023-01322-7 (Impact Factor: 2.293, Cite Score: Q2 - 70%)
Y. Fouzar, A. Lakhssassi and M. Ramakrishna, "A Novel Hybrid Multikey Cryptography Technique for Video Communication," in IEEE Access, vol. 11, pp. 15693-15700, Feb 2023, doi: 10.1109/ACCESS.2023.3242616. (Impact Factor: 3.367, Cite Score: Q1 - 90%)
Bijur, G., Ramakrishna, M. & Kotegar, K.A. Multicast tree construction algorithm for dynamic traffic on software-defined networks. Sci Rep 11, 23084 (2021). https://doi.org/10.1038/s41598-021-02292-1 (Impact Factor: 5.133, Cite Score: Q1 - 93%)
G. Bijur, R. Mundugar, V. Mantoor, and K. A Kotegar, “Estimation of Adaptation Parameters for Dynamic Video Adaptation in Wireless Network Using Experimental Method,” Computers, vol. 10, no. 4, p. 39, Mar. 2021. (Cite Score: Q2)
Ramakrishna, M and Karunakar, A K, "Rate adaptive multicast video streaming over software-defined network". Journal of Theoretical and Applied Information Technology, 96 (18), 2018. pp. 6163-6171. (Cite Score: Q4)
M Ramakrishna, Royce Charles Fernandes, A.K. Karunakar, "Estimation of Adaptation Parameters for Scalable Video Streaming over Software Defined Networks", Procedia Computer Science, Volume 115, 2017, Pages 715-722, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.09.144. (http://www.sciencedirect.com/science/article/pii/S1877050917319737)
M. Ramakrishna and A. K. Karunakar, "SIP and SDP based Content Adaptation during Real-time Video Streaming in Future Internets", Multimed Tools Appl (2017) 76: 21171. doi:10.1007/s11042-016-4017-7 (Impact Factor: 1.530, Cite Score: Q2)
Neha Nair, Jaideep Jagadeeshwar Rao, and Ramakrishna M. "Toward Phenotypic Personalized Medicine for Antimicrobial Resistance: An Interpretable Proof of Concept." International Conference on AI in Healthcare, Imperial College London, 2026.
T. Shreekumar, M. Ramakrishna, K. Sadhana, and M.B. Meghashree. "EcoChain: A Blockchain-Based Supply Chain Management." Smart Innovation, Systems and Technologies, Vol. 465, 2026, pp. 51–68. DOI: 10.1007/978-3-032-12830-0_5.
Chandan V., Sandhya Parasnath Dubey, Ramakrishna Mundugar, Tonika Reddy, and Shashank Angadi. "Enhancing Complex-Valued Neural Networks with Squeeze-and-Excitation and Residual Learning for Image Classification." 2026 6th International Conference on Intelligent Technologies (CONIT), 2026, pp. 1–5. DOI: 10.1109/CONIT69683.2026.11621339.
Ancita Maria Andrade, Tanvi Banerjee, and Ramakrishna Mundugar. "Exploring Gender Differences in Chronic Pain Discussions on Reddit." 17th International Conference on Social Networks Analysis and Mining (ASONAM), 2025, pp. 103–110.
A.S. Manjunatha, Venkatramana P. Bhat, M. Ramakrishna, and Ananya. "A Study on Machine Learning Techniques for Anomaly Detection in Wireless Sensor Networks: Enhancing Data Integrity and Reliability." Grenze Scientific Society, Vol. 2, 2025, pp. 12448–12452.
Neha Nair, Mukta Joshi, and M. Ramakrishna. "Advancing Contextual Understanding: Evaluating Polysemy Detection in Modern Natural Language Processing." IEEE Computer Society, 2025, pp. 112–119. DOI: 10.1109/ICMLC66258.2025.11280117.
Madhusmita Sahoo, M. Ramakrishna, and Tanvi Banerjee. "A Multimodal Approach to Geolocation Extraction: Leveraging Wikipedia, Person-Specific Data, and NLP for Enhanced Geographic Entity Recognition." IEEE, 2025, pp. 79–84. DOI: 10.1109/DISCOVER66922.2025.11258882.
Shravya, Manish, and M. Ramakrishna. "Revolutionizing Antifungal Treatment: Machine Learning Insights into Candida Species Antimicrobial Resistance Patterns for Informed Clinical Decisions." Lecture Notes in Networks and Systems, Vol. 1286, 2025, pp. 17–28. DOI: 10.1007/978-981-96-4008-9_2.
A.S. Manjunatha, P. Venkatramana Bhat, M. Ramakrishna, and Matti Nidhi Prabhu. "Robust Sensor Networks: Applying AI for Fault Identification in Challenging Operational Contexts." IEEE, 2024, pp. 1026–1032. DOI: 10.1109/ICICNIS64247.2024.10823256.
Gururaj Bijur, M. Ramakrishna, and A.K. Karunakar. "Efficient Mode Decision in HEVC." IEEE International Conference on Artificial Intelligence and Digital Engineering (AIDE), 2022, pp. 151–156. DOI: 10.1109/AIDE57180.2022.10060847.
Gururaj Bijur, M. Ramakrishna, and A.K. Karunakar. "Identification of the Video Level for Video Communication in a Resource-Constrained Network." IEEE International Conference on Artificial Intelligence and Digital Engineering (AIDE), 2022, pp. 208–211. DOI: 10.1109/AIDE57180.2022.10059868.
Royce Fernandes, M. Ramakrishna, and A.K. Karunakar. "Performance Evaluation of Scalable Video Stream over Bandwidth Constrained Network Using Software Defined Networks." International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017, pp. 1042–1047. DOI: 10.1109/ICACCI.2017.8125979.
M. Ramakrishna, Royce Charles Fernandes, and A.K. Karunakar. "Estimation of Adaptation Parameters for Scalable Video Streaming over Software Defined Networks." Procedia Computer Science, Vol. 115, 2017, pp. 715–722. DOI: 10.1016/j.procs.2017.09.144.
M. Ramakrishna and A.K. Karunakar. "Estimation of Scalable Video Adaptation Parameters for Media Aware Network Elements." International Conference on Communication Systems and Networks (COMSNETS), 2014. DOI: 10.1109/COMSNETS.2014.6734931.
Diana Olivia, M. Ramakrishna, and S. Divya. "Minimizing Energy of Scalable Distributed Least Squares Localization." Communications in Computer and Information Science (CCIS), Vol. 305, 2012, pp. 77–83. DOI: 10.1007/978-3-642-32112-2_10.
M. Ramakrishna. "DBR-LS: Distance Based Routing Protocol Using Location Service for VANETs." IEEE INDCON, 2011. DOI: 10.1109/INDCON.2011.6139413.
M., Ramakrishna, “DBR: Distance Based Routing algorithm for VANETs,” International Journal of Information and Electronics Engineering, Vol. 2, No. 2, March 2012.
Nayak, Sushma and M, Ramakrishna, “Certificate Path Discovery by Constructing Virtual Hierarchy to Administer Trust Relationship using Peer to Peer PKI in MANET ”, International Journal of Information and Electronics Engineering, Vol. 2, No. 2, March 2012.
M., Ramakrishna, Singh, Suryansh and Karunakar, A. K., "Estimation of Scalable Video Adaptation parameters for Wireless Networks", in Manipal International Conference on Technology Management (MiCTM '15), Dubai, U.A.E., 25-26th Mar. 2015.
M., Ramakrishna, “DBR: Distance Based Routing algorithm for VANETs,” Proceedings of 2011 International Conference on Network Communication and Computer, Delhi, INDIA, Mar 2011, pp 94 – 98.
Nayak, Sushma and M., Ramakrishna., “Certificate Path Discovery by Constructing Virtual Hierarchy to Administer Trust Relationship using Peer to Peer PKI in MANET ”, Proceedings of International Conference on Network Communication and Computer, Delhi, INDIA, Mar 2011, pp 175 – 178.