Kunal Chaturvedi

About

Kunal Chaturvedi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Kunal Chaturvedi has authored 12 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in Kunal Chaturvedi’s work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Human Pose and Action Recognition (2 papers). Kunal Chaturvedi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Human Pose and Action Recognition (2 papers). Kunal Chaturvedi collaborates with scholars based in Australia, India and Ghana. Kunal Chaturvedi's co-authors include Dinesh Kumar Vishwakarma, Nidhi Singh, Mukesh Prasad, Ali Braytee, Dinesh Kumar Vishwakarma, Jun Li, Peter Appiahene, Ali Anaissi, Chhavi Dhiman and Domingo Mery and has published in prestigious journals such as Scientific Reports, Sensors and Children and Youth Services Review.

In The Last Decade

Co-authorship network of co-authors of Kunal Chaturvedi i

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Fields of papers citing papers by Kunal Chaturvedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kunal Chaturvedi

Since Specialization

Citations

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