Ankit Shukla

6 papers and 12 indexed citations i.

About

Ankit Shukla is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ankit Shukla has authored 6 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Ankit Shukla’s work include Advanced Image Processing Techniques (2 papers), Advanced Image Fusion Techniques (2 papers) and Advanced Software Engineering Methodologies (1 paper). Ankit Shukla is often cited by papers focused on Advanced Image Processing Techniques (2 papers), Advanced Image Fusion Techniques (2 papers) and Advanced Software Engineering Methodologies (1 paper). Ankit Shukla collaborates with scholars based in India and United States. Ankit Shukla's co-authors include Avinash Upadhyay, Viswanathan Chinnusamy, Sudhir Kumar, Manoj Sharma, Manoj Kumar Sharma, William C. Regli, Manoj Sharma, Arquimedes Canedo, Rudrabha Mukhopadhyay and Avinash Upadhyay and has published in prestigious journals such as IEEE Transactions on Automation Science and Engineering, Mathematical Problems in Engineering and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Ankit Shukla i

Fields of papers citing papers by Ankit Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ankit Shukla

Since Specialization
Citations

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