Neha Agarwal

18 papers and 106 indexed citations i.

About

Neha Agarwal is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Neha Agarwal has authored 18 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Neha Agarwal’s work include Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (5 papers) and Cloud Computing and Resource Management (5 papers). Neha Agarwal is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (5 papers) and Cloud Computing and Resource Management (5 papers). Neha Agarwal collaborates with scholars based in India, United States and Saudi Arabia. Neha Agarwal's co-authors include Thomas F. Wenisch, Ajay Rana, J. P. Pandey, Amit Agarwal, David Nellans, Mike O’Connor, Mark W. Stephenson, Stephen W. Keckler, Uday K. Chakraborty and Tanmay De and has published in prestigious journals such as ACM SIGPLAN Notices, Electronics and ACM SIGOPS Operating Systems Review.

In The Last Decade

Co-authorship network of co-authors of Neha Agarwal i

Fields of papers citing papers by Neha Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neha Agarwal

Since Specialization
Citations

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