Pooja Rani

20 papers and 142 indexed citations i.

About

Pooja Rani is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Pooja Rani has authored 20 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health Information Management, 9 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Pooja Rani’s work include Artificial Intelligence in Healthcare (15 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Data Classification (3 papers). Pooja Rani is often cited by papers focused on Artificial Intelligence in Healthcare (15 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Data Classification (3 papers). Pooja Rani collaborates with scholars based in India, Saudi Arabia and United Arab Emirates. Pooja Rani's co-authors include Rajneesh Kumar, Anurag Jain, Rakesh Ahuja, Tarun Gulati, Vinay Kukreja, Manoj Kumar, Heena Dhiman, Celestine Iwendi, G S Pradeep Ghantasala and Ashish Mishra and has published in prestigious journals such as Neural Computing and Applications, Archives of Computational Methods in Engineering and International Journal of Environmental Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Pooja Rani i

Fields of papers citing papers by Pooja Rani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pooja Rani

Since Specialization
Citations

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