K. Lakshmanan

873 total citations
38 papers, 555 citations indexed

About

K. Lakshmanan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, K. Lakshmanan has authored 38 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 8 papers in Management Science and Operations Research. Recurrent topics in K. Lakshmanan's work include Optimization and Search Problems (6 papers), Machine Learning and Algorithms (4 papers) and Reinforcement Learning in Robotics (3 papers). K. Lakshmanan is often cited by papers focused on Optimization and Search Problems (6 papers), Machine Learning and Algorithms (4 papers) and Reinforcement Learning in Robotics (3 papers). K. Lakshmanan collaborates with scholars based in India, United States and Canada. K. Lakshmanan's co-authors include Sanjay Kumar Singh, Abhinav Kumar, Sonal Saxena, Sameer Shrivastava, Shalabh Bhatnagar, Raj Kumar Singh, Ashwini Kumar Singh, Arun Kumar Sangaiah, Himanshu Chauhan and K. Thulasiraman and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

K. Lakshmanan

36 papers receiving 521 citations

Peers

Countries citing papers authored by K. Lakshmanan

Since Specialization

Citations

This map shows the geographic impact of K. Lakshmanan'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 K. Lakshmanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Lakshmanan more than expected).

Fields of papers citing papers by K. Lakshmanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Lakshmanan. 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 K. Lakshmanan. The network helps show where K. Lakshmanan may publish in the future.

Co-authorship network of co-authors of K. Lakshmanan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Lakshmanan. A scholar is included among the top collaborators of K. Lakshmanan 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 K. Lakshmanan. K. Lakshmanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep Learning-Based Diagnosis of Rice Sheath Rot Disease: A Wavelet-Filtered Approach for Feature Extraction and Analysis 2024 ·(unknown), Maheshkumar Kuppusamy, (unknown), (unknown), K. Lakshmanan, (unknown)	1
2	Investigating the behavioural intention towards electric vehicle: A dual factor approach using Sweeney and Soutar's PERVAL scale and technology acceptance model 2024 ·Journal of Cleaner Production ·K. Lakshmanan, (unknown), (unknown), Mallika Prem Senthil	2
3	A deep actor critic reinforcement learning framework for learning to rank 2023 ·Neurocomputing ·(unknown), K. Lakshmanan	19
4	A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things 2022 ·IEEE Access ·(unknown), Ruchir Gupta, K. Lakshmanan, (unknown)	18
5	Comment on “Federated Learning With Differential Privacy: Algorithms and Performance Analysis” 2022 ·IEEE Transactions on Information Forensics and Security ·(unknown), (unknown), K. Lakshmanan, Ruchir Gupta	7
6	Proximal policy optimization based hybrid recommender systems for large scale recommendations 2022 ·Multimedia Tools and Applications ·(unknown), K. Lakshmanan, Amrita Chaturvedi	5
7	Context-Aware Influential Nodes Tracking in Online Social Networks 2021 ·Journal of the Association for Information Systems ·Ashwini Kumar Singh, K. Lakshmanan, Tribikram Pradhan, Deepti Gupta	0
8	A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images 2021 ·ACM Transactions on Internet Technology ·Abhinav Kumar, Sanjay Kumar Singh, K. Lakshmanan, Sonal Saxena, Sameer Shrivastava	13
9	Link prediction-based influence maximization in online social networks 2021 ·Neurocomputing ·Ashwini Kumar Singh, K. Lakshmanan	25
10	PILHNB: Popularity, interests, location used hidden Naive Bayesian-based model for link prediction in dynamic social networks 2021 ·Neurocomputing ·Ashwini Kumar Singh, K. Lakshmanan	23
11	Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning 2021 ·Symmetry ·(unknown), Ruchir Gupta, K. Lakshmanan, Atul Gupta	2
12	A fault diagnosis methodology for an external gear pump with the use of Machine Learning classification algorithms: Support Vector Machine and Multilayer Perceptron 2020 ·Figshare ·K. Lakshmanan, (unknown), Ferdinando Auricchio, (unknown)	7
13	CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density 2020 ·IEEE Transactions on Fuzzy Systems ·Abhinav Kumar, Sanjay Kumar Singh, Sonal Saxena, Amit Kumar Singh, Sameer Shrivastava, K. Lakshmanan, Neeraj Kumar, Raj Kumar Singh	32
14	An Online Actor–Critic Algorithm with Function Approximation for Constrained Markov Decision Processes 2012 ·Journal of Optimization Theory and Applications ·Shalabh Bhatnagar, K. Lakshmanan	39
15	Recursive merge sort with erroneous comparisons 2011 ·Discrete Applied Mathematics ·(unknown), K. Lakshmanan	5
16	Alarm placement in systems with fault propagation 2000 ·Theoretical Computer Science ·K. Lakshmanan, Daniel J. Rosenkrantz, S. S. Ravi	8
17	Properties of control-flow complexity measures 1991 ·IEEE Transactions on Software Engineering ·K. Lakshmanan, (unknown), (unknown)	43
18	An efficient distributed protocol for finding shortest paths in networks with negative weights 1989 ·IEEE Transactions on Software Engineering ·K. Lakshmanan, K. Thulasiraman, (unknown)	10
19	Compound hypothesis testing with finite memory 1979 ·Information and Control ·K. Lakshmanan, Bharath Chandrasekaran	2
20	Decision making with finite memory devices / 1977 ·OhioLink ETD Center (Ohio Library and Information Network) ·K. Lakshmanan	1

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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