Mohib Ullah

37 papers and 232 indexed citations i.

About

Mohib Ullah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Mohib Ullah has authored 37 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Sociology and Political Science. Recurrent topics in Mohib Ullah’s work include Video Surveillance and Tracking Methods (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Mohib Ullah is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Mohib Ullah collaborates with scholars based in Pakistan, Saudi Arabia and Norway. Mohib Ullah's co-authors include Rafiullah Khan, Irfan Ullah Khan, Habib Ullah, Nicola Conci, Sumayh S. Aljameel, Nida Aslam, Atif Khan, M. Irfan Uddin, Nadeem Akhtar and Ihtesham Ul Islam and has published in prestigious journals such as Frontiers in Plant Science, IEEE Access and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Mohib Ullah i

Fields of papers citing papers by Mohib Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohib Ullah

Since Specialization
Citations

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