Akib Mohi Ud Din Khanday

18 papers and 313 indexed citations i.

About

Akib Mohi Ud Din Khanday is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Akib Mohi Ud Din Khanday has authored 18 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 5 papers in Social Psychology. Recurrent topics in Akib Mohi Ud Din Khanday’s work include Sentiment Analysis and Opinion Mining (8 papers), Misinformation and Its Impacts (6 papers) and Mental Health via Writing (5 papers). Akib Mohi Ud Din Khanday is often cited by papers focused on Sentiment Analysis and Opinion Mining (8 papers), Misinformation and Its Impacts (6 papers) and Mental Health via Writing (5 papers). Akib Mohi Ud Din Khanday collaborates with scholars based in India, United Arab Emirates and Canada. Akib Mohi Ud Din Khanday's co-authors include Syed Tanzeel Rabani, Qamar Rayees Khan, Nusrat Rouf, Ali Shariq Imran, Mudasir Ahmad Wani, Pankaj Verma, Zenun Kastrati, Tasleem Arif, Bharat Bhushan and Rutvij H. Jhaveri and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Akib Mohi Ud Din Khanday i

Fields of papers citing papers by Akib Mohi Ud Din Khanday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akib Mohi Ud Din Khanday. 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 Akib Mohi Ud Din Khanday. The network helps show where Akib Mohi Ud Din Khanday may publish in the future.

Countries citing papers authored by Akib Mohi Ud Din Khanday

Since Specialization
Citations

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