Nilaksh Das

13 papers and 173 indexed citations i.

About

Nilaksh Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nilaksh Das has authored 13 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Nilaksh Das’s work include Anomaly Detection Techniques and Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Nilaksh Das is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Nilaksh Das collaborates with scholars based in United States and United Kingdom. Nilaksh Das's co-authors include Duen Horng Chau, Fred Hohman, Haekyu Park, Omar Shaikh, Zijie J. Wang, Minsuk Kahng, Sundararajan Srinivasan, Rahul Duggal, Siwei Li and Madhuri Shanbhogue and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Data and Information Quality and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Nilaksh Das i

Fields of papers citing papers by Nilaksh Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nilaksh Das

Since Specialization
Citations

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