Mayank Arya Chandra
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Biomedical Engineering
- Computer Networks and Communications
- Co-authors
- S. S. BediMohit KumarKalka Dubey
- Topics
- Face and Expression Recognition (2 papers)IoT and Edge/Fog Computing (1 paper)Spam and Phishing Detection (1 paper)
- Journals
- International Journal of Information TechnologyInternational Journal of Business Intelligence and Data MiningInternational Journal of Innovative Technology and Exploring Engineering
- Partner nations
- India
In The Last Decade
Mayank Arya Chandra
6 papers receiving 319 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 79
- Computer Vision and Pattern Recognition 73
- Information Systems 37
- Biomedical Engineering 37
- Computer Networks and Communications 31
Countries citing papers authored by Mayank Arya Chandra
This map shows the geographic impact of Mayank Arya Chandra'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 Mayank Arya Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Arya Chandra more than expected).
Fields of papers citing papers by Mayank Arya Chandra
This network shows the impact of papers produced by Mayank Arya Chandra. 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 Mayank Arya Chandra. The network helps show where Mayank Arya Chandra may publish in the future.
Co-authorship network of co-authors of Mayank Arya Chandra
This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Arya Chandra. A scholar is included among the top collaborators of Mayank Arya Chandra 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 Mayank Arya Chandra. Mayank Arya Chandra 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 | 0 | |
| 3 | 2 | |
| 4 | Survey on SVM and their application in image classificationbreakdown → | 313 |
| 5 | 3 | |
| 6 | 14 | |
| 7 | Data Hiding using Lazy Wavelet Transform Strategy | 4 |
About Mayank Arya Chandra
Mayank Arya Chandra is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry, having authored 7 papers that have together received 337 indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), IoT and Edge/Fog Computing (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (73 citations), Media Technology (28 citations) and Analytical Chemistry (31 citations). Mayank Arya Chandra has collaborated with scholars based in India. Frequent co-authors include S. S. Bedi, Mohit Kumar and Kalka Dubey. Their work appears in journals such as International Journal of Information Technology, International Journal of Business Intelligence and Data Mining and International Journal of Innovative Technology and Exploring 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.