J. Logeshwaran

5.2k total citations
108 papers, 1.5k citations indexed

About

J. Logeshwaran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, J. Logeshwaran has authored 108 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 27 papers in Electrical and Electronic Engineering. Recurrent topics in J. Logeshwaran's work include IoT and Edge/Fog Computing (19 papers), AI in cancer detection (12 papers) and Advanced MIMO Systems Optimization (11 papers). J. Logeshwaran is often cited by papers focused on IoT and Edge/Fog Computing (19 papers), AI in cancer detection (12 papers) and Advanced MIMO Systems Optimization (11 papers). J. Logeshwaran collaborates with scholars based in India, United States and Saudi Arabia. J. Logeshwaran's co-authors include T. Kiruthiga, Jaime Lloret, Shanmugasundaram Nallasamy, Nirmal Adhikari, G. Ramesh, Vaibhav Rajan, Shobhit K. Patel, Krishna Bikram Shah, S. Raja and Ammar Armghan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

J. Logeshwaran

87 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. Logeshwaran	565	526	327	248	115	108	1.5k
Salil Bharany	602 1.1×	339 0.6×	189 0.6×	302 1.2×	125 1.1×	113	1.3k
Umesh Kumar Lilhore	539 1.0×	325 0.6×	232 0.7×	529 2.1×	148 1.3×	133	1.8k
Vinu Sundararaj	554 1.0×	373 0.7×	324 1.0×	316 1.3×	340 3.0×	11	1.6k
Ashish Kr. Luhach	603 1.1×	386 0.7×	266 0.8×	325 1.3×	137 1.2×	95	1.4k
Radhya Sahal	481 0.9×	312 0.6×	228 0.7×	368 1.5×	131 1.1×	38	1.6k
Ahmad Ali AlZubi	374 0.7×	250 0.5×	186 0.6×	214 0.9×	158 1.4×	91	1.1k
M. Prakash	512 0.9×	360 0.7×	320 1.0×	374 1.5×	208 1.8×	79	1.5k
Anurag Shrivastava	315 0.6×	273 0.5×	333 1.0×	301 1.2×	169 1.5×	132	1.7k
Ali Nauman	709 1.3×	400 0.8×	683 2.1×	247 1.0×	157 1.4×	97	1.8k
Abdullah Ayub Khan	561 1.0×	808 1.5×	197 0.6×	433 1.7×	265 2.3×	93	1.8k

Countries citing papers authored by J. Logeshwaran

Since Specialization

Citations

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

Fields of papers citing papers by J. Logeshwaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Logeshwaran

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jain, Kurunandan, et al.. (2025). Toward Smart 5G and 6G: Standardization of AI-Native Network Architectures and Semantic Communication Protocols. IEEE Communications Standards Magazine. 1–12.

Baz, Abdullah, J. Logeshwaran, N. Yuvaraj, & Shobhit K. Patel. (2024). Enhancing mobility management in 5G networks using deep residual LSTM model. Applied Soft Computing. 165. 112103–112103. 14 indexed citations

Mahalingam, Mallik, et al.. (2024). A reliable inter-domain routing framework for autonomous systems using hybrid Blockchain. Computers & Electrical Engineering. 123. 110031–110031. 1 indexed citations

Baz, Abdullah, J. Logeshwaran, Yuvaraj Natarajan, & Shobhit K. Patel. (2024). Deep fuzzy nets approach for energy efficiency optimization in smart grids. Applied Soft Computing. 161. 111724–111724. 15 indexed citations

Bagwari, Ashish, et al.. (2024). Intelligent Computational Model for Energy Efficiency and AI Automation of Network Devices in 5G Communication Environment. Tsinghua Science & Technology. 29(6). 1728–1751. 11 indexed citations

Armghan, Ammar, J. Logeshwaran, S. Raja, et al.. (2024). Performance optimization of energy-efficient solar absorbers for thermal energy harvesting in modern industrial environments using a solar deep learning model. Heliyon. 10(4). e26371–e26371. 25 indexed citations

Logeshwaran, J., et al.. (2024). Improving crop production using an agro-deep learning framework in precision agriculture. BMC Bioinformatics. 25(1). 341–341. 21 indexed citations

Ramesh, G., J. Logeshwaran, & Avvaru Praveen Kumar. (2023). The Smart Network Management Automation Algorithm for Administration of Reliable 5G Communication Networks. Wireless Communications and Mobile Computing. 2023. 1–13. 23 indexed citations

Logeshwaran, J., et al.. (2023). An IoT Enabled Computational Model and Application Development for Monitoring Cardiovascular Risks. 410–417. 2 indexed citations

10.

Jiwani, Nasmin, et al.. (2023). The smart earlier prediction of conginental heart disease in pregnancy using deep learning model. 1–7.

11.

Logeshwaran, J., et al.. (2023). Evaluating Key Management Strategies for Applied Cryptography Protocols. 1–7.

12.

Logeshwaran, J., et al.. (2023). Clinical Resource Management with AI/ML-Driven Automated Diagnostics in Smart Healthcare. 1–6. 1 indexed citations

13.

Venkatasubramanian, S., et al.. (2023). Prediction of Alzheimer’s Disease Using DHO‐Based Pretrained CNN Model. Mathematical Problems in Engineering. 2023(1). 39 indexed citations

14.

Ramakrishnan, Rakesh, et al.. (2023). A Load Balancing Architecture to Improve the Security of Cloud Computing in the Disease Management Centers. 1299–1305. 4 indexed citations

15.

Logeshwaran, J., et al.. (2023). Enhancing Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function. Sustainability. 15(19). 14441–14441. 38 indexed citations

16.

Logeshwaran, J., et al.. (2023). The smart detection of neuro-pathological effects of alzheimer patients using neural networks. 11. 858–863. 5 indexed citations

17.

Sangeetha, R., J. Logeshwaran, Javier Rocher, & Jaime Lloret. (2023). An Improved Agro Deep Learning Model for Detection of Panama Wilts Disease in Banana Leaves. AgriEngineering. 5(2). 660–679. 43 indexed citations

18.

Logeshwaran, J. & T. Kiruthiga. (2022). The Enhanced Machine Learning Model for Device Prediction in Device-To-Device (D2D) Communications. 43–57. 7 indexed citations

19.

Adhikari, Nirmal, J. Logeshwaran, & T. Kiruthiga. (2021). The artificially intelligent switching framework for terminalaccess provides smart routing in modern computer networks. 2(1). 52–58. 25 indexed citations

20.

Logeshwaran, J. & T. Kiruthiga. (2021). Network Management Model for Device-To-Device Communication in Ultra Dense Mobile Networks. 25–38. 5 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.

Explore authors with similar magnitude of impact