Kalpna Guleria

63 papers and 659 indexed citations i.

About

Kalpna Guleria is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kalpna Guleria has authored 63 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kalpna Guleria’s work include COVID-19 diagnosis using AI (10 papers), Mobile Ad Hoc Networks (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Kalpna Guleria is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), Mobile Ad Hoc Networks (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Kalpna Guleria collaborates with scholars based in India, Nepal and Saudi Arabia. Kalpna Guleria's co-authors include Anil Kumar Verma, Shagun Sharma, Nitin Goyal, Sushil Kumar, Sunita Tiwari, Sunita Tiwari, Devendra Prasad, Surya Narayan Panda, Umesh Kumar Lilhore and Sarita Simaiya and has published in prestigious journals such as PLoS ONE, IEEE Access and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Kalpna Guleria i

Fields of papers citing papers by Kalpna Guleria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kalpna Guleria

Since Specialization
Citations

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