Research output per year
Research output per year
Personal profile
Research interests
Data Science,
Machine Learning,
Social Network Analysis
Experience
13 Years of Teaching Experience
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Dive into the research topics where Raguru Jaya Krishna is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Detecting influencers in social networks through machine learning techniques
Makhija, R., Ali, S. & Jaya Krishna, R., 2021, Advanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2020. Hassanien, A. E., Bhatnagar, R. & Darwish, A. (eds.). Springer Gabler, p. 255-266 12 p. (Advances in Intelligent Systems and Computing; vol. 1141).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Citations (Scopus) -
Review of Parallel and Distributed Community Detection Algorithms
Jaya Krishna, R. & Sharma, D. P., 2021, Proceedings of the Second International Conference on Information Management and Machine Intelligence, ICIMMI 2020. Goyal, D., Gupta, A. K., Piuri, V., Ganzha, M. & Paprzycki, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 639-644 6 p. (Lecture Notes in Networks and Systems; vol. 166).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus) -
Secure Data Hiding Technique using Secret Image Scrambling
Sharma, V. K., Jaya Krishna, R., Singh, A. & Rathore, V. S., 05-11-2020, Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2020. Institute of Electrical and Electronics Engineers Inc., p. 831-836 6 p. 9297456. (Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus) -
Visual Analytics Toward Prediction of Employee Erosion Through Data Science Tools
Nair, P., Krishna, J. & Srivastava, D. K., 2020, Advances in Intelligent Systems and Computing. Springer Verlag, p. 705-713 9 p. (Advances in Intelligent Systems and Computing; vol. 933).Research output: Chapter in Book/Report/Conference proceeding › Chapter
4 Citations (Scopus) -
Faster load flow algorithm for radial distribution network using graph theory
Sharma, D. P., Chaturvedi, A., Saxena, R. & Krishna R, J., 01-02-2019, In: International Transactions on Electrical Energy Systems. 29, 2, e2705.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)