Anuja Arora

58 papers and 839 indexed citations i.

About

Anuja Arora is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Anuja Arora has authored 58 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Sociology and Political Science. Recurrent topics in Anuja Arora’s work include Complex Network Analysis Techniques (13 papers), Sentiment Analysis and Opinion Mining (9 papers) and Recommender Systems and Techniques (7 papers). Anuja Arora is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Sentiment Analysis and Opinion Mining (9 papers) and Recommender Systems and Techniques (7 papers). Anuja Arora collaborates with scholars based in India, Singapore and United Kingdom. Anuja Arora's co-authors include Shivam Bansal, Yogesh K. Dwivedi, Reema Aswani, Arti Jain, Aman Srivastava, Divakar Yadav, Colm O'Moráin, E Mathai, C. T. Keane and M Cafferkey and has published in prestigious journals such as Expert Systems with Applications, Alimentary Pharmacology & Therapeutics and International Journal of Information Management.

In The Last Decade

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

Fields of papers citing papers by Anuja Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anuja Arora

Since Specialization
Citations

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