Megha P. Arakeri
- Analytical Chemistry top 5%
- Neurology top 10%
- Brain Tumor Detection and Classification 5
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- Image Retrieval and Classification Techniques 6
- Medical Image Segmentation Techniques 4
- Face recognition and analysis 4
- Face and Expression Recognition 3
- Advanced Image and Video Retrieval Techniques 3
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- Smart Agriculture and AI 4
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- AI in cancer detection 3
- Co-authors
- Ram Mohana Reddy GuddetiSuresh SeshadriM. MenakaSriraam NatarajanB. VenkatramanH. Ravishankar
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Advances in Materials Science and Engineering (1 paper)
In The Last Decade
Megha P. Arakeri
21 papers receiving 314 citations
Peers
Comparison fields: 5 of 77
- Analytical Chemistry 101
- Neurology 67
- Computer Vision and Pattern Recognition 116
- Plant Science 151
- Industrial and Manufacturing Engineering 26
Countries citing papers authored by Megha P. Arakeri
This map shows the geographic impact of Megha P. Arakeri'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 Megha P. Arakeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megha P. Arakeri more than expected).
Fields of papers citing papers by Megha P. Arakeri
This network shows the impact of papers produced by Megha P. Arakeri. 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 Megha P. Arakeri. The network helps show where Megha P. Arakeri may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Megha P. Arakeri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 148 | |
| 14 | 2015 | 9 | |
| 15 | 2013 | 58 | |
| 16 | An Effective and Efficient Approach to 3D Reconstruction and Quantification of Brain Tumor on Magnetic Resonance Images | 2013 | 9 |
| 17 | 2012 | 6 | |
| 18 | 2012 | 4 | |
| 19 | 2011 | 2 | |
| 20 | 2010 | 4 |
About Megha P. Arakeri
Megha P. Arakeri is a scholar working on Horticulture, Computer Vision and Pattern Recognition and Neurology, having authored 26 papers that have together received 346 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Brain Tumor Detection and Classification (5 papers), Medical Image Segmentation Techniques (4 papers), Face recognition and analysis (4 papers), Smart Agriculture and AI (4 papers), AI in cancer detection (3 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Analytical Chemistry (101 citations), Neurology (67 citations) and Computer Vision and Pattern Recognition (116 citations). Megha P. Arakeri has collaborated with scholars based in India, Canada and Ethiopia. Frequent co-authors include Ram Mohana Reddy Guddeti, Suresh Seshadri, M. Menaka, Sriraam Natarajan, B. Venkatraman and H. Ravishankar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Advances in Materials Science and Engineering.
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.