Hanuman Verma

11 papers and 373 indexed citations i.

About

Hanuman Verma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Hanuman Verma has authored 11 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Hanuman Verma’s work include Multi-Criteria Decision Making (4 papers), Medical Image Segmentation Techniques (4 papers) and Remote-Sensing Image Classification (4 papers). Hanuman Verma is often cited by papers focused on Multi-Criteria Decision Making (4 papers), Medical Image Segmentation Techniques (4 papers) and Remote-Sensing Image Classification (4 papers). Hanuman Verma collaborates with scholars based in India, United Kingdom and Australia. Hanuman Verma's co-authors include R. K. Agrawal, Aditi Sharan, Dhirendra Kumar, Akshansh Gupta, Aparna Mehra, Naveen Kumar, Javier Andreu-Pérez, M. Tanveer, Mukesh Prasad and Chin‐Teng Lin and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Pattern Recognition Letters.

In The Last Decade

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

Fields of papers citing papers by Hanuman Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanuman 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 Hanuman Verma. The network helps show where Hanuman Verma may publish in the future.

Countries citing papers authored by Hanuman Verma

Since Specialization
Citations

This map shows the geographic impact of Hanuman 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 Hanuman Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanuman 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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