K. Lakshmi Narayanan
- Electrical and Electronic Engineering
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Co-authors
- R. Santhana KrishnanHarold RobinsonE. Golden JulieChih How BongS. VimalS. KannanK.R. NalinakumariThomas Abraham
- Topics
- IoT-based Smart Home Systems (15 papers)IoT and GPS-based Vehicle Safety Systems (10 papers)Video Surveillance and Tracking Methods (8 papers)
- Cited by
- OtorhinolaryngologyComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
K. Lakshmi Narayanan
61 papers receiving 686 citations
Peers
Comparison fields: 5 of 122
- Electrical and Electronic Engineering 178
- Mechanical Engineering 129
- Computer Networks and Communications 104
- Computer Vision and Pattern Recognition 104
- Plant Science 100
Countries citing papers authored by K. Lakshmi Narayanan
This map shows the geographic impact of K. Lakshmi Narayanan'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. Lakshmi Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Lakshmi Narayanan more than expected).
Fields of papers citing papers by K. Lakshmi Narayanan
This network shows the impact of papers produced by K. Lakshmi Narayanan. 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. Lakshmi Narayanan. The network helps show where K. Lakshmi Narayanan may publish in the future.
Co-authorship network of co-authors of K. Lakshmi Narayanan
This figure shows the co-authorship network connecting the top 25 collaborators of K. Lakshmi Narayanan. A scholar is included among the top collaborators of K. Lakshmi Narayanan 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. Lakshmi Narayanan. K. Lakshmi Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 36 | |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | Comparative in vitro Anticancer Activity of Two Siddha Formulations: Neeradi Muthu Vallathymezugu and Thamira Kattu Chendooram | 0 |
| 20 | 63 |
About K. Lakshmi Narayanan
K. Lakshmi Narayanan is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Safety, Risk, Reliability and Quality, having authored 63 papers that have together received 737 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (15 papers), IoT and GPS-based Vehicle Safety Systems (10 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Otorhinolaryngology (50 citations), Computer Vision and Pattern Recognition (104 citations) and Safety, Risk, Reliability and Quality (43 citations). K. Lakshmi Narayanan has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include R. Santhana Krishnan, Harold Robinson, E. Golden Julie, Chih How Bong, S. Vimal, S. Kannan, K.R. Nalinakumari, Thomas Abraham, Kizhakke Mattada Sathyan and Elizabeth Abraham. Their work appears in journals such as Annals of Oncology, Modern Pathology and Applied Sciences.
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.