Chander Prabha

70 papers and 369 indexed citations i.

About

Chander Prabha is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chander Prabha has authored 70 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 13 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Chander Prabha’s work include IoT and Edge/Fog Computing (5 papers), COVID-19 diagnosis using AI (5 papers) and Caching and Content Delivery (4 papers). Chander Prabha is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), COVID-19 diagnosis using AI (5 papers) and Caching and Content Delivery (4 papers). Chander Prabha collaborates with scholars based in India, Saudi Arabia and United States. Chander Prabha's co-authors include Lynn Silipigni Connaway, Edward T. O’Neill, Shiva Gorjian, H. Sharon, Jaspreet Singh, D. S. Wagle, Ammar Almomani, Meena Malik, Y. K. Arora and Nitin Mittal and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Environmental Management.

In The Last Decade

Co-authorship network of co-authors of Chander Prabha i

Fields of papers citing papers by Chander Prabha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chander Prabha

Since Specialization
Citations

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