Ankit Dhall

3 papers and 48 indexed citations i.

About

Ankit Dhall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Ankit Dhall has authored 3 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Automotive Engineering. Recurrent topics in Ankit Dhall’s work include Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Ankit Dhall is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Ankit Dhall collaborates with scholars based in Switzerland and India. Ankit Dhall's co-authors include Dengxin Dai, Luc Van Gool, Dario Pavllo and Andreas Krause and has published in prestigious journals such as Experimental Techniques, 2022 IEEE Intelligent Vehicles Symposium (IV) 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 Dhall i

Fields of papers citing papers by Ankit Dhall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ankit Dhall

Since Specialization
Citations

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