Saurabh Raj Sangwan

17 papers and 253 indexed citations i.

About

Saurabh Raj Sangwan is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Saurabh Raj Sangwan has authored 17 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Saurabh Raj Sangwan’s work include Sentiment Analysis and Opinion Mining (5 papers), Spam and Phishing Detection (4 papers) and Text and Document Classification Technologies (4 papers). Saurabh Raj Sangwan is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Spam and Phishing Detection (4 papers) and Text and Document Classification Technologies (4 papers). Saurabh Raj Sangwan collaborates with scholars based in India, China and United Kingdom. Saurabh Raj Sangwan's co-authors include Akshi Kumar, M. P. S. Bhatia, Anand Nayyar, Anshika Arora, Lê Hoàng Sơn, Mohamed Abdel-Basset, Deepak Kumar Jain, Varun G. Menon, Prayag Tiwari and Gia Nhu Nguyen and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Saurabh Raj Sangwan i

Fields of papers citing papers by Saurabh Raj Sangwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saurabh Raj Sangwan. 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 Saurabh Raj Sangwan. The network helps show where Saurabh Raj Sangwan may publish in the future.

Countries citing papers authored by Saurabh Raj Sangwan

Since Specialization
Citations

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