Vikram Aditya
Impact in
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- Advanced Malware Detection Techniques
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- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
Papers in
- Ecology 10
- Wildlife Ecology and Conservation 9
- Animal Ecology and Behavior Studies 4
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- Ecology and Vegetation Dynamics Studies 3
- Co-authors
- Mohana (3 shared papers)T. Ganesh (6 shared papers)Ayush Jain (1 shared paper)Harsh Jain (1 shared paper)S. C. Saxena (1 shared paper)M.N.S. Swamy (1 shared paper)Mukesh Sharma (1 shared paper)Nishtha Yadav (2 shared papers)
- Journals
- Biotropica (2 papers)Current Science (1 paper)Scientific Reports (1 paper)Oryx (1 paper)Operative Neurosurgery (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Vikram Aditya
17 papers receiving 165 citations
Peers
Comparison fields: 5 of 70
- Signal Processing 29
- Artificial Intelligence 78
- Computer Networks and Communications 51
- Ecological Modeling 9
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Vikram Aditya
This map shows the geographic impact of Vikram Aditya'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 Vikram Aditya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Aditya more than expected).
Fields of papers citing papers by Vikram Aditya
This network shows the impact of papers produced by Vikram Aditya. 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 Vikram Aditya. The network helps show where Vikram Aditya may publish in the future.
Co-authors
The 17 scholars most cited alongside Vikram Aditya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2020 | 50 | |
| 3 | 2021 | 16 | |
| 4 | 2018 | 12 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 1974 | 3 | |
| 13 | Occurrence of Indian Giant Flying Squirrel in the northern Eastern Ghats of Andhra Pradesh, India | 2021 | 2 |
| 14 | 1969 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Vikram Aditya
Vikram Aditya is a scholar working on Ecology, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 25 papers that have together received 203 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (9 papers), Animal Ecology and Behavior Studies (4 papers), Insect Pest Control Strategies (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Anomaly Detection Techniques and Applications (2 papers), Agricultural Practices and Plant Genetics (2 papers), Bat Biology and Ecology Studies (2 papers) and Conservation, Biodiversity, and Resource Management (2 papers). The work is most often cited by research in Signal Processing (29 citations), Artificial Intelligence (78 citations), Computer Networks and Communications (51 citations), Ecological Modeling (9 citations) and Computer Vision and Pattern Recognition (38 citations). Vikram Aditya has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Mohana, T. Ganesh, Ayush Jain, Harsh Jain, S. C. Saxena, M.N.S. Swamy, Mukesh Sharma, Nishtha Yadav, Yad Ram Yadav and Vijay Parihar. Their work appears in journals such as Biotropica, Current Science, Scientific Reports, Oryx and Operative Neurosurgery.
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.