K. Manivannan
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Mechanical Engineering
- Co-authors
- Sathiyabhama BalasubramaniamS. DevendiranAshok KumarV. DevabhaktuniPriyanka AggarwalR. GnanadassHarish KumarL. Natrayan
- Topics
- Wireless Communication Networks Research (6 papers)Brain Tumor Detection and Classification (5 papers)Advanced MIMO Systems Optimization (4 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
K. Manivannan
19 papers receiving 274 citations
Peers
Comparison fields: 5 of 83
- Neurology 115
- Computer Vision and Pattern Recognition 110
- Artificial Intelligence 72
- Control and Systems Engineering 59
- Mechanical Engineering 49
Countries citing papers authored by K. Manivannan
This map shows the geographic impact of K. Manivannan'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. Manivannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Manivannan more than expected).
Fields of papers citing papers by K. Manivannan
This network shows the impact of papers produced by K. Manivannan. 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. Manivannan. The network helps show where K. Manivannan may publish in the future.
Co-authorship network of co-authors of K. Manivannan
This figure shows the co-authorship network connecting the top 25 collaborators of K. Manivannan. A scholar is included among the top collaborators of K. Manivannan 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. Manivannan. K. Manivannan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 102 | |
| 9 | 19 | |
| 10 | Diagnostics of gear faults using ensemble empirical mode decomposition, hybrid binary bat algorithm and machine learning algorithms | 10 |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 44 | |
| 14 | 28 | |
| 15 | 45 | |
| 16 | Differential Evolution-Based Algorithm for Congestion Management in a Deregulated Environment | 2 |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 2 |
About K. Manivannan
K. Manivannan is a scholar working on Health Informatics, Neurology and Computer Networks and Communications, having authored 25 papers that have together received 298 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (6 papers), Brain Tumor Detection and Classification (5 papers) and Advanced MIMO Systems Optimization (4 papers). The work is most often cited by research in Neurology (115 citations), Computer Vision and Pattern Recognition (110 citations) and Control and Systems Engineering (59 citations). K. Manivannan has collaborated with scholars based in India and United States. Frequent co-authors include Sathiyabhama Balasubramaniam, S. Devendiran, Ashok Kumar, V. Devabhaktuni, Priyanka Aggarwal, R. Gnanadass, Harish Kumar, L. Natrayan and Dankan Gowda. Their work appears in journals such as PLoS ONE, Journal of Hazardous Materials and Computer Methods and Programs in Biomedicine.
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.