Amit Verma
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Signal Processing
- Radiology, Nuclear Medicine and Imaging
- Plant Science
- Co-authors
- Toshanlal MeenpalYashvir SinghEkta WaliaIqbaldeep KaurBibhudendra AcharyaGurpreet SinghJaspreet SinghSiddharth Arora
- Topics
- Video Surveillance and Tracking Methods (6 papers)Face and Expression Recognition (6 papers)Face recognition and analysis (5 papers)
- Partner nations
- IndiaUnited Arab EmiratesSaudi Arabia
In The Last Decade
Amit Verma
39 papers receiving 309 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 55
- Signal Processing 43
- Radiology, Nuclear Medicine and Imaging 38
- Plant Science 37
Countries citing papers authored by Amit Verma
This map shows the geographic impact of Amit Verma'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 Amit Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Verma more than expected).
Fields of papers citing papers by Amit Verma
This network shows the impact of papers produced by Amit Verma. 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 Amit Verma. The network helps show where Amit Verma may publish in the future.
Co-authorship network of co-authors of Amit Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Verma. A scholar is included among the top collaborators of Amit Verma 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 Amit Verma. Amit Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | Robust Secret Sharing for Image Encryption in Fractional Fourier Transform Domain | 0 |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | A survey on image processing techniques for tumor detection in mammograms | 1 |
| 17 | 8 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 7 |
About Amit Verma
Amit Verma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 44 papers that have together received 350 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Face and Expression Recognition (6 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Signal Processing (43 citations) and Media Technology (27 citations). Amit Verma has collaborated with scholars based in India, United Arab Emirates and Saudi Arabia. Frequent co-authors include Toshanlal Meenpal, Yashvir Singh, Ekta Walia, Iqbaldeep Kaur, Bibhudendra Acharya, Gurpreet Singh, Jaspreet Singh, Siddharth Arora, Prasanta K. Panigrahi and Bhaskar Pant. Their work appears in journals such as Pattern Recognition Letters, Plant Cell Reports and Computational Intelligence.
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.