Preeti Arora

14 papers and 397 indexed citations i.

About

Preeti Arora is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Preeti Arora has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Preeti Arora’s work include Data Mining Algorithms and Applications (3 papers), Advanced Clustering Algorithms Research (2 papers) and Disaster Response and Management (2 papers). Preeti Arora is often cited by papers focused on Data Mining Algorithms and Applications (3 papers), Advanced Clustering Algorithms Research (2 papers) and Disaster Response and Management (2 papers). Preeti Arora collaborates with scholars based in India, Canada and United Arab Emirates. Preeti Arora's co-authors include Deepali, Rajesh Arora, Rajeev K. Goel, Rakesh Kumar Sharma, Raman Chawla, M. Silambarasan, R. P. Tripathi, Vinod Kumar, Deepali Virmani and Sarita Jaiswal and has published in prestigious journals such as Value in Health, Evidence-based Complementary and Alternative Medicine and Materials Today Proceedings.

In The Last Decade

Co-authorship network of co-authors of Preeti Arora i

Fields of papers citing papers by Preeti Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Preeti Arora

Since Specialization
Citations

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