K.E. ArunKumar

8 papers and 406 indexed citations i.

About

K.E. ArunKumar is a scholar working on Modeling and Simulation, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K.E. ArunKumar has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Mechanical Engineering and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K.E. ArunKumar’s work include COVID-19 epidemiological studies (3 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 Pandemic Impacts (2 papers). K.E. ArunKumar is often cited by papers focused on COVID-19 epidemiological studies (3 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 Pandemic Impacts (2 papers). K.E. ArunKumar collaborates with scholars based in United States and India. K.E. ArunKumar's co-authors include Masahiro Kawaji, Dinesh V. Kalaga, Timothy M. Brenza, Ch. Mohan Sai Kumar, Govinda Chilkoor, Bharat K. Jasthi, Nikhil Koratkar, M. Meyyappan, Grigoriy Sereda and Venkataramana Gadhamshetty and has published in prestigious journals such as Carbon, Chemical Engineering Journal and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of K.E. ArunKumar i

Fields of papers citing papers by K.E. ArunKumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.E. ArunKumar. 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 K.E. ArunKumar. The network helps show where K.E. ArunKumar may publish in the future.

Countries citing papers authored by K.E. ArunKumar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025