E. Laxmi Lydia
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- K. ShankarMohamed ElhosenyIrina V. PustokhinaDenis A. PustokhinA. Francis Saviour DevarajS. DhanasekaranCh. Usha KumariSachi Nandan Mohanty
- Topics
- Network Security and Intrusion Detection (11 papers)Anomaly Detection Techniques and Applications (9 papers)Artificial Intelligence in Healthcare (8 papers)
- Partner nations
- IndiaSaudi ArabiaEgypt
In The Last Decade
E. Laxmi Lydia
102 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 374
- Computer Networks and Communications 372
- Information Systems 323
- Computer Vision and Pattern Recognition 225
- Electrical and Electronic Engineering 143
Countries citing papers authored by E. Laxmi Lydia
This map shows the geographic impact of E. Laxmi Lydia'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 E. Laxmi Lydia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Laxmi Lydia more than expected).
Fields of papers citing papers by E. Laxmi Lydia
This network shows the impact of papers produced by E. Laxmi Lydia. 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 E. Laxmi Lydia. The network helps show where E. Laxmi Lydia may publish in the future.
Co-authorship network of co-authors of E. Laxmi Lydia
This figure shows the co-authorship network connecting the top 25 collaborators of E. Laxmi Lydia. A scholar is included among the top collaborators of E. Laxmi Lydia 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 E. Laxmi Lydia. E. Laxmi Lydia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 21 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | Design and Implementation of a Process of Risk-Based Criticality for Network Utilities Asset Management | 0 |
| 20 | Measuring Quality of Management to Predict Success of Portfolio- A Review of Factors Effect Project Portfolio Success | 2 |
About E. Laxmi Lydia
E. Laxmi Lydia is a scholar working on Health Information Management, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Artificial Intelligence in Healthcare (8 papers). The work is most often cited by research in Computer Networks and Communications (372 citations), Information Systems (323 citations) and Artificial Intelligence (374 citations). E. Laxmi Lydia has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include K. Shankar, Mohamed Elhoseny, Irina V. Pustokhina, Denis A. Pustokhin, A. Francis Saviour Devaraj, S. Dhanasekaran, Ch. Usha Kumari, Sachi Nandan Mohanty, N. Arun Vignesh and M. Sivaram. Their work appears in journals such as Scientific Reports, IEEE Access and Computer Networks.
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.