Arijit Ukil

31 papers and 284 indexed citations i.

About

Arijit Ukil is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Signal Processing. According to data from OpenAlex, Arijit Ukil has authored 31 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Signal Processing. Recurrent topics in Arijit Ukil’s work include ECG Monitoring and Analysis (11 papers), Time Series Analysis and Forecasting (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Arijit Ukil is often cited by papers focused on ECG Monitoring and Analysis (11 papers), Time Series Analysis and Forecasting (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Arijit Ukil collaborates with scholars based in India, Spain and Switzerland. Arijit Ukil's co-authors include Arpan Pal, Soma Bandyopadhyay, Chetanya Puri, Ayan Mukherjee, Soma Bandyopadhyay, Anirban Dutta Choudhury, Rohan Banerjee, Shreyasi Datta, Leandro Marín and Antonio J. Jara and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Arijit Ukil i

Fields of papers citing papers by Arijit Ukil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arijit Ukil

Since Specialization
Citations

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