Laya Das

26 papers and 396 indexed citations i.

About

Laya Das is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Laya Das has authored 26 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Laya Das’s work include Fault Detection and Control Systems (8 papers), Neural Networks and Applications (4 papers) and Control Systems and Identification (4 papers). Laya Das is often cited by papers focused on Fault Detection and Control Systems (8 papers), Neural Networks and Applications (4 papers) and Control Systems and Identification (4 papers). Laya Das collaborates with scholars based in India, United States and Switzerland. Laya Das's co-authors include Babji Srinivasan, Balasubramaniam Natarajan, Sai Munikoti, Venkat Venkatasubramanian, Raghunathan Rengaswamy, Deepesh Agarwal, Mahantesh Halappanavar, Dinesh Garg, Amit M. Joshi and Blazhe Gjorgiev and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and AIChE Journal.

In The Last Decade

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

Fields of papers citing papers by Laya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laya Das

Since Specialization
Citations

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