Kamalika Datta

9 papers and 157 indexed citations i.

About

Kamalika Datta is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Kamalika Datta has authored 9 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Kamalika Datta’s work include Quantum-Dot Cellular Automata (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Neuroscience and Neural Engineering (3 papers). Kamalika Datta is often cited by papers focused on Quantum-Dot Cellular Automata (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Neuroscience and Neural Engineering (3 papers). Kamalika Datta collaborates with scholars based in India. Kamalika Datta's co-authors include Indranil Sengupta, Hafizur Rahaman and Rangababu Peesapati and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Co-authorship network of co-authors of Kamalika Datta i

Fields of papers citing papers by Kamalika Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kamalika Datta

Since Specialization
Citations

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