Qamar Rayees Khan

About

Qamar Rayees Khan is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Qamar Rayees Khan has authored 14 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 4 papers in Social Psychology. Recurrent topics in Qamar Rayees Khan’s work include Misinformation and Its Impacts (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Mental Health via Writing (4 papers). Qamar Rayees Khan is often cited by papers focused on Misinformation and Its Impacts (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Mental Health via Writing (4 papers). Qamar Rayees Khan collaborates with scholars based in India, Saudi Arabia and Norway. Qamar Rayees Khan's co-authors include Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Nusrat Rouf, Ali Shariq Imran, Mudasir Ahmad Wani, Zenun Kastrati, Bharat Bhushan, Rutvij H. Jhaveri, Roshani Raut and Ahmed A. Abd El‐Latif and has published in prestigious journals such as PLoS ONE, Sustainability and International Journal of Information Management Data Insights.

In The Last Decade

Co-authorship network of co-authors of Qamar Rayees Khan i

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Fields of papers citing papers by Qamar Rayees Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qamar Rayees Khan. 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 Qamar Rayees Khan. The network helps show where Qamar Rayees Khan may publish in the future.

Countries citing papers authored by Qamar Rayees Khan

Since Specialization

Citations

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