Lakshmi Rajamani
- Information Systems top 10%
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Industrial and Manufacturing Engineering top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Data Mining Algorithms and Applications (12 papers)Cloud Computing and Resource Management (7 papers)IoT and Edge/Fog Computing (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringInformation SystemsComputational Theory and Mathematics
- Journals
- International Journal of Advanced Science and TechnologyInternational Journal of Internet Technology and Secured TransactionsarXiv (Cornell University)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Lakshmi Rajamani
32 papers receiving 252 citations
Peers
Comparison fields: 5 of 51
- Information Systems 104
- Artificial Intelligence 80
- Computer Networks and Communications 74
- Industrial and Manufacturing Engineering 59
- Computational Theory and Mathematics 52
Countries citing papers authored by Lakshmi Rajamani
This map shows the geographic impact of Lakshmi Rajamani'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 Lakshmi Rajamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lakshmi Rajamani more than expected).
Fields of papers citing papers by Lakshmi Rajamani
This network shows the impact of papers produced by Lakshmi Rajamani. 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 Lakshmi Rajamani. The network helps show where Lakshmi Rajamani may publish in the future.
Co-authorship network of co-authors of Lakshmi Rajamani
This figure shows the co-authorship network connecting the top 25 collaborators of Lakshmi Rajamani. A scholar is included among the top collaborators of Lakshmi Rajamani 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 Lakshmi Rajamani. Lakshmi Rajamani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | Decision tree induction: Priority classification | 5 |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | Decision Tree Induction: Data Classification using Height-Balanced Tree. | 4 |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 2 | |
| 19 | NON-DOMINATED RANKED GENETIC ALGORITHM FOR SOLVING CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS | 13 |
| 20 | 3 |
About Lakshmi Rajamani
Lakshmi Rajamani is a scholar working on Information Systems, Computational Theory and Mathematics and Signal Processing, having authored 34 papers that have together received 282 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Cloud Computing and Resource Management (7 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (59 citations), Information Systems (104 citations) and Computational Theory and Mathematics (52 citations). Lakshmi Rajamani has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include C. Raghavendra Rao, C. Mallikarjuna Rao and A. Govardhan. Their work appears in journals such as International Journal of Advanced Science and Technology, International Journal of Internet Technology and Secured Transactions and arXiv (Cornell University).
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.