Amiya Kumar Rath
- Plant Science top 2%
- Analytical Chemistry top 1%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Prabira Kumar SethySanti Kumari BeheraNalini Kanta BarpandaHitesh MohapatraDebahuti MishraRudra Kalyan NayakRakesh Kumar LenkaSuraj Sharma
- Topics
- Energy Efficient Wireless Sensor Networks (22 papers)Smart Agriculture and AI (17 papers)Spectroscopy and Chemometric Analyses (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Amiya Kumar Rath
82 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Plant Science 893
- Analytical Chemistry 443
- Computer Networks and Communications 343
- Electrical and Electronic Engineering 263
- Artificial Intelligence 200
Countries citing papers authored by Amiya Kumar Rath
This map shows the geographic impact of Amiya Kumar Rath'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 Amiya Kumar Rath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amiya Kumar Rath more than expected).
Fields of papers citing papers by Amiya Kumar Rath
This network shows the impact of papers produced by Amiya Kumar Rath. 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 Amiya Kumar Rath. The network helps show where Amiya Kumar Rath may publish in the future.
Co-authorship network of co-authors of Amiya Kumar Rath
This figure shows the co-authorship network connecting the top 25 collaborators of Amiya Kumar Rath. A scholar is included among the top collaborators of Amiya Kumar Rath 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 Amiya Kumar Rath. Amiya Kumar Rath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An optimized LSTM-based deep learning model for anomaly network intrusion detectionbreakdown → | 22 |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | Quantification of rice chalkiness using image processing | 1 |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 20 | |
| 17 | 20 | |
| 18 | 80 | |
| 19 | Finding Coherent Bi-clusters from Microarray Data by Imitating the Ecosystem: An Ant Colony Algorithmic Approach. | 1 |
| 20 | 1 |
About Amiya Kumar Rath
Amiya Kumar Rath is a scholar working on Computer Networks and Communications, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (22 papers), Smart Agriculture and AI (17 papers) and Spectroscopy and Chemometric Analyses (12 papers). The work is most often cited by research in Analytical Chemistry (443 citations), Plant Science (893 citations) and Computer Networks and Communications (343 citations). Amiya Kumar Rath has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Prabira Kumar Sethy, Santi Kumari Behera, Nalini Kanta Barpanda, Hitesh Mohapatra, Debahuti Mishra, Rudra Kalyan Nayak, Rakesh Kumar Lenka, Suraj Sharma, Debahuti Mishra and Saroja Kumar Rout. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.