Mohib Ullah
Impact in
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
- AI in cancer detection
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- Video Surveillance and Tracking Methods
- Digital Imaging for Blood Diseases
Papers in
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- Privacy-Preserving Technologies in Data 11
- Internet Traffic Analysis and Secure E-voting 9
- Anomaly Detection Techniques and Applications 7
- AI in cancer detection 5
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- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 4
- Co-authors
- Rafiullah Khan (22 shared papers)Nicola Conci (3 shared papers)Muhammad Arshad Islam (7 shared papers)Nida Aslam (3 shared papers)Irfan Ullah Khan (4 shared papers)Sumayh S. Aljameel (3 shared papers)M. Irfan Uddin (5 shared papers)Habib Ullah (6 shared papers)
- Journals
- Complexity (5 papers)IEEE Access (4 papers)Computers in Biology and Medicine (2 papers)Multimedia Systems (1 paper)Frontiers in Chemistry (1 paper)
- Partner nations
- PakistanSaudi ArabiaNorway
In The Last Decade
Mohib Ullah
50 papers receiving 459 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 232
- Computer Vision and Pattern Recognition 134
- Health Informatics 3
- Computer Networks and Communications 50
- Health Information Management 9
Countries citing papers authored by Mohib Ullah
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).
Fields of papers citing papers by Mohib Ullah
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.
Co-authors
The 25 scholars most cited alongside Mohib Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 16 | |
| 7 | 2014 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2014 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 8 |
About Mohib Ullah
Mohib Ullah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 53 papers that have together received 470 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (11 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Privacy, Security, and Data Protection (9 papers), Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (7 papers), AI in cancer detection (5 papers), Human Pose and Action Recognition (4 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Artificial Intelligence (232 citations), Computer Vision and Pattern Recognition (134 citations), Health Informatics (3 citations), Computer Networks and Communications (50 citations) and Health Information Management (9 citations). Mohib Ullah has collaborated with scholars based in Pakistan, Saudi Arabia and Norway. Frequent co-authors include Rafiullah Khan, Nicola Conci, Muhammad Arshad Islam, Nida Aslam, Irfan Ullah Khan, Sumayh S. Aljameel, M. Irfan Uddin, Habib Ullah, Faouzi Alaya Cheikh and Atif Khan. Their work appears in journals such as Complexity, IEEE Access, Computers in Biology and Medicine, Multimedia Systems and Frontiers in Chemistry.
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.