Amit Verma

13 papers and 346 indexed citations i.

About

Amit Verma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Amit Verma has authored 13 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Signal Processing. Recurrent topics in Amit Verma’s work include Advanced Steganography and Watermarking Techniques (4 papers), Digital Media Forensic Detection (2 papers) and Medical Image Segmentation Techniques (2 papers). Amit Verma is often cited by papers focused on Advanced Steganography and Watermarking Techniques (4 papers), Digital Media Forensic Detection (2 papers) and Medical Image Segmentation Techniques (2 papers). Amit Verma collaborates with scholars based in India, United States and China. Amit Verma's co-authors include Lalit Mohan Goyal, Mamta Mittal, Iqbaldeep Kaur, D. Jude Hemanth, Tai-hoon Kim, Sudipta Roy, Meenakshi Sharma, Lê Hoàng Sơn, Rohit Tanwar and Kulvinder Singh and has published in prestigious journals such as Sensors, IEEE Access and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Amit Verma i

Fields of papers citing papers by Amit Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Amit Verma

Since Specialization
Citations

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).

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.

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2025