Jaz Kandola

8 papers and 444 indexed citations i.

About

Jaz Kandola is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Jaz Kandola has authored 8 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Jaz Kandola’s work include Face and Expression Recognition (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (1 paper). Jaz Kandola is often cited by papers focused on Face and Expression Recognition (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (1 paper). Jaz Kandola collaborates with scholars based in United Kingdom, United States and Finland. Jaz Kandola's co-authors include John Shawe‐Taylor, Nello Cristianini, Koby Crammer, Yoram Singer, Zoubin Ghahramani, Xiaojin Zhu, John Lafferty, Chris K. Williams, Yaoyong Li and Hugo Zaragoza and has published in prestigious journals such as IEEE Transactions on Information Theory, ACM Computing Surveys and JAMA Network Open.

In The Last Decade

Co-authorship network of co-authors of Jaz Kandola i

Fields of papers citing papers by Jaz Kandola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jaz Kandola

Since Specialization
Citations

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