Debaditya Acharya
About
In The Last Decade
Debaditya Acharya
22 papers receiving 637 citations
Peers
Comparison fields: 5 of 69
- Geology 292
- Aerospace Engineering 291
- Computer Vision and Pattern Recognition 272
- Electrical and Electronic Engineering 182
- Environmental Engineering 155
Countries citing papers authored by Debaditya Acharya
This map shows the geographic impact of Debaditya Acharya'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 Debaditya Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debaditya Acharya more than expected).
Fields of papers citing papers by Debaditya Acharya
This network shows the impact of papers produced by Debaditya Acharya. 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 Debaditya Acharya. The network helps show where Debaditya Acharya may publish in the future.
Co-authorship network of co-authors of Debaditya Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Debaditya Acharya. A scholar is included among the top collaborators of Debaditya Acharya 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 Debaditya Acharya. Debaditya Acharya 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 | 2 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 22 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 131 | |
| 10 | 29 | |
| 11 | 7 | |
| 12 | 44 | |
| 13 | Real-time image-based parking occupancy detection using deep learning | 44 |
| 14 | 20 | |
| 15 | Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network | 15 |
| 16 | 83 | |
| 17 | 20 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 80 |
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.