Ajinkya Kale

About

Ajinkya Kale is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ajinkya Kale has authored 8 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Ajinkya Kale’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Ajinkya Kale is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Ajinkya Kale collaborates with scholars based in United States, India and The Netherlands. Ajinkya Kale's co-authors include Zhe Lin, Jianming Zhang, Xin Yuan, Yilin Wang, Jason Kuen, Michael Maire, Trung Bui, Handong Zhao, Jaemin Cho and Franck Dernoncourt and has published in prestigious journals such as Language Resources and Evaluation, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and DOAJ (DOAJ: Directory of Open Access Journals).

In The Last Decade

Co-authorship network of co-authors of Ajinkya Kale i

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Fields of papers citing papers by Ajinkya Kale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ajinkya Kale

Since Specialization

Citations

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