Mohib Ullah
Impact in
- Artificial Intelligence top 10%
- AI in cancer detection
- Internet Traffic Analysis and Secure E-voting
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
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- Digital Imaging for Blood Diseases
- Video Surveillance and Tracking Methods
Papers in
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- Privacy-Preserving Technologies in Data 9
- Internet Traffic Analysis and Secure E-voting 6
- Anomaly Detection Techniques and Applications 5
- AI in cancer detection 5
- Sentiment Analysis and Opinion Mining 3
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- Video Surveillance and Tracking Methods 6
- Co-authors
- Rafiullah Khan (22 shared papers)Irfan Ullah Khan (3 shared papers)Nida Aslam (3 shared papers)Sumayh S. Aljameel (3 shared papers)M. Irfan Uddin (5 shared papers)Atif Khan (4 shared papers)Nicola Conci (2 shared papers)Habib Ullah (6 shared papers)
- Journals
- Complexity (5 papers)IEEE Access (4 papers)Computers in Biology and Medicine (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- PakistanSaudi ArabiaNorway
In The Last Decade
Mohib Ullah
46 papers receiving 362 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 175
- Computer Vision and Pattern Recognition 107
- Health Informatics 3
- Water Science and Technology 24
- Computer Networks and Communications 36
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2021 | 39 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 16 | |
| 7 | 2015 | 14 | |
| 8 | 2014 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 5 |
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 47 papers that have together received 374 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (7 papers), Video Surveillance and Tracking Methods (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Anomaly Detection Techniques and Applications (5 papers), AI in cancer detection (5 papers), Spam and Phishing Detection (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Artificial Intelligence (175 citations), Computer Vision and Pattern Recognition (107 citations), Health Informatics (3 citations), Water Science and Technology (24 citations) and Computer Networks and Communications (36 citations). Mohib Ullah has collaborated with scholars based in Pakistan, Saudi Arabia and Norway. Frequent co-authors include Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel, M. Irfan Uddin, Atif Khan, Nicola Conci, Habib Ullah, Muhammad Arshad Islam and Talha Anwar. Their work appears in journals such as Complexity, IEEE Access, Computers in Biology and Medicine, Frontiers in Bioengineering and Biotechnology and Frontiers in Plant Science.
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.