M. Krishnamurthy

13.3k total citations
34 papers, 149 citations indexed

About

M. Krishnamurthy is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, M. Krishnamurthy has authored 34 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in M. Krishnamurthy's work include Data Mining Algorithms and Applications (11 papers), Advanced Algebra and Geometry (7 papers) and Algebraic Geometry and Number Theory (6 papers). M. Krishnamurthy is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Advanced Algebra and Geometry (7 papers) and Algebraic Geometry and Number Theory (6 papers). M. Krishnamurthy collaborates with scholars based in India, United States and United Kingdom. M. Krishnamurthy's co-authors include Andrew R. Booker, A. Kannan, M. Selvi, K. Thangaramya, R. Baskaran, M. Kavitha, P. Saranya, K. Manivannan and S. V. N. Santhosh Kumar and has published in prestigious journals such as Advances in Mathematics, Bulletin of the London Mathematical Society and Biomedical Signal Processing and Control.

In The Last Decade

M. Krishnamurthy

32 papers receiving 134 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Krishnamurthy India 7 51 44 37 30 29 34 149
Jeffrey Young United States 9 45 0.9× 3 0.1× 36 1.2× 7 0.2× 45 173
Cheol‐Min Park South Korea 7 183 3.6× 22 0.6× 110 3.7× 12 0.4× 26 283
Marc Girault France 8 109 2.1× 14 0.4× 26 0.9× 11 175
Vinícius F. dos Santos Brazil 7 50 1.0× 10 0.3× 4 0.1× 39 148
Yoshitaka Morikawa Japan 8 95 1.9× 12 0.3× 62 2.1× 1 0.0× 57 157
Yasuyoshi Inagaki Japan 9 199 3.9× 3 0.1× 3 0.1× 4 0.1× 1 0.0× 45 276
Roshidi Din Malaysia 10 93 1.8× 6 0.1× 57 1.9× 69 346
Aleksandra Mileva North Macedonia 8 136 2.7× 5 0.1× 43 1.4× 32 256

Countries citing papers authored by M. Krishnamurthy

Since Specialization
Citations

This map shows the geographic impact of M. Krishnamurthy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Krishnamurthy more than expected).

Fields of papers citing papers by M. Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Krishnamurthy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Krishnamurthy. The network helps show where M. Krishnamurthy may publish in the future.

Co-authorship network of co-authors of M. Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of M. Krishnamurthy. A scholar is included among the top collaborators of M. Krishnamurthy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Krishnamurthy. M. Krishnamurthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Krishnamurthy, M., et al.. (2025). Recommendation system for frequent item sets using multi-objective chaotic optimization with convolutional BiLSTM model. Applied Intelligence. 55(7). 1 indexed citations
2.
3.
Krishnamurthy, M., et al.. (2024). Intrusion detection system extended CNN and artificial bee colony optimization in wireless sensor networks. Peer-to-Peer Networking and Applications. 17(3). 1237–1262. 10 indexed citations
4.
Krishnamurthy, M., et al.. (2024). Elliptic curve encryption-based energy-efficient secured ACO routing protocol for wireless sensor networks. The Journal of Supercomputing. 80(13). 18866–18899. 6 indexed citations
5.
Krishnamurthy, M., et al.. (2023). Revolutionizing cardiovascular risk prediction: A novel image-based approach using fundus analysis and deep learning. Biomedical Signal Processing and Control. 90. 105781–105781. 3 indexed citations
6.
Krishnamurthy, M., et al.. (2021). Frequent Itemset Generation Using Association Rule Mining Based on Hybrid Neural Network Based Billiard Inspired Optimization. Journal of Circuits Systems and Computers. 31(8). 1 indexed citations
7.
Krishnamurthy, M., et al.. (2020). User Preference and Reviews Analysis with Neural Networks for Travel Recommender Systems. International Journal of Engineering Research and Technology. 13(8). 1896–1896. 7 indexed citations
8.
Krishnamurthy, M., et al.. (2020). Novel OGBEE-based feature selection and feature-level fusion with MLP neural network for social media multimodal sentiment analysis. Soft Computing. 24(24). 18431–18445. 21 indexed citations
9.
Booker, Andrew R., et al.. (2019). Test vectors for Rankin–Selberg L-functions. Journal of Number Theory. 209. 37–48. 3 indexed citations
10.
Krishnamurthy, M., et al.. (2019). Efficient Intelligent Generic Recommendation Knowledge Graph in Education Domain using Association Rule Mining and Machine Learning. International Journal of Innovative Technology and Exploring Engineering. 8(10). 2291–2296. 3 indexed citations
11.
Krishnamurthy, M., et al.. (2019). Social Networking Data Research Using Frequent Pattern Mining and Machine Learning Data. International Journal of Engineering and Advanced Technology. 8(6). 4784–4789. 3 indexed citations
12.
Krishnamurthy, M., et al.. (2017). Developmental features of biomedical bibliographic databases. ePrints@Bangalore University (Bangalore University). 64(1). 16–20. 1 indexed citations
13.
Booker, Andrew R. & M. Krishnamurthy. (2016). A converse theorem for GL(n). Advances in Mathematics. 296. 154–180. 1 indexed citations
14.
Krishnamurthy, M., et al.. (2015). Extracting the User’s Interests by Using Web Log Data Based on Web Usage Mining. Journal of Computational and Theoretical Nanoscience. 12(12). 5031–5040. 2 indexed citations
15.
Booker, Andrew R. & M. Krishnamurthy. (2013). Further refinements of the GL(2) converse theorem. Bulletin of the London Mathematical Society. 45(5). 987–1003. 3 indexed citations
16.
Booker, Andrew R. & M. Krishnamurthy. (2013). Weil's Converse Theorem with Poles. International Mathematics Research Notices. 2014(19). 5328–5339. 5 indexed citations
17.
18.
Krishnamurthy, M., et al.. (2012). Frequent Itemset Generation using Double Hashing Technique. Procedia Engineering. 38. 1467–1478. 6 indexed citations
19.
Krishnamurthy, M., A. Kannan, R. Baskaran, & M. Kavitha. (2011). Cluster based bit vector mining algorithm for finding frequent itemsets in temporal databases. Procedia Computer Science. 3. 513–523. 3 indexed citations
20.
Krishnamurthy, M., et al.. (2009). Temporal-Hmine-rev algorithm for Mining Frequent Patterns in Temporal Databases. 1(1). 10–14. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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