Novi Quadrianto

42 papers and 848 indexed citations i.

About

Novi Quadrianto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Novi Quadrianto has authored 42 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Safety Research. Recurrent topics in Novi Quadrianto’s work include Advanced Image and Video Retrieval Techniques (8 papers), Machine Learning and Data Classification (7 papers) and Ethics and Social Impacts of AI (6 papers). Novi Quadrianto is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Machine Learning and Data Classification (7 papers) and Ethics and Social Impacts of AI (6 papers). Novi Quadrianto collaborates with scholars based in United Kingdom, Australia and United States. Novi Quadrianto's co-authors include Viktoriia Sharmanska, Christoph H. Lampert, Alex Smola, Tibério S. Caetano, Ping Xue, Tran Huy Dat, Cuntai Guan, Quoc V. Le, Zoubin Ghahramani and Oliver Thomas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Novi Quadrianto i

Fields of papers citing papers by Novi Quadrianto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Novi Quadrianto

Since Specialization
Citations

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