Haidar Khan

14 papers and 254 indexed citations i.

About

Haidar Khan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haidar Khan has authored 14 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haidar Khan’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (3 papers). Haidar Khan is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (3 papers). Haidar Khan collaborates with scholars based in United States. Haidar Khan's co-authors include Bülent Yener, Lara Marcuse, Madeline Fields, Wael Hamza, Qile Zhu, Saleh Soltan, Stephen Rawls, Ivan Bulyko, Xinyue Liu and Ankur Gandhe and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Gastrointestinal Endoscopy and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Haidar Khan i

Fields of papers citing papers by Haidar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haidar Khan

Since Specialization
Citations

This map shows the geographic impact of Haidar 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 Haidar Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haidar 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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2025