Soyeb Nagori

8 papers and 121 indexed citations i.

About

Soyeb Nagori is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Soyeb Nagori has authored 8 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Soyeb Nagori’s work include Anomaly Detection Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Neural Network Applications (2 papers). Soyeb Nagori is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Neural Network Applications (2 papers). Soyeb Nagori collaborates with scholars based in United States and India. Soyeb Nagori's co-authors include Manu Mathew, Debapriya Maji, Hrushikesh Garud, Girish Varma and C. V. Jawahar and has published in prestigious journals such as 2021 International Conference on 3D Vision (3DV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Electronic Imaging.

In The Last Decade

Co-authorship network of co-authors of Soyeb Nagori i

Fields of papers citing papers by Soyeb Nagori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soyeb Nagori

Since Specialization
Citations

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