Naeem Ullah
- Neurology top 5%
- Brain Tumor Detection and Classification 5
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- Advanced Neural Network Applications 4
- Digital Imaging for Blood Diseases 3
- Health Informatics top 10%
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- COVID-19 diagnosis using AI 9
- Artificial Intelligence top 5%
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- Streptococcal Infections and Treatments 3
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- Smart Agriculture and AI 3
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- Antibiotic Resistance in Bacteria 3
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- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Javed Ali KhanMuhammad Sohail KhanAsaf RazaWahab KhanAli JavedMuhammad Shahid AnwarSultan AlmakdiShaker El–Sappagh
- Partner nations
- PakistanUnited KingdomSaudi Arabia
In The Last Decade
Naeem Ullah
52 papers receiving 847 citations
Peers
Comparison fields: 5 of 134
- Neurology 194
- Computer Vision and Pattern Recognition 207
- Health Informatics 13
- Radiology, Nuclear Medicine and Imaging 221
- Artificial Intelligence 205
Countries citing papers authored by Naeem Ullah
This map shows the geographic impact of Naeem 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 Naeem Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naeem Ullah more than expected).
Fields of papers citing papers by Naeem Ullah
This network shows the impact of papers produced by Naeem 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 Naeem Ullah. The network helps show where Naeem Ullah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naeem 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 0 | |
| 15 | 2020 | 52 | |
| 16 | 2020 | 14 | |
| 17 | A Study on the Factors Associated with Non- Urgent Utilization of Emergency Department | 2018 | 1 |
| 18 | 2018 | 0 | |
| 19 | 2014 | 1 | |
| 20 | Augmentative Plate Fixation for the management of Femoral Non-union After intramedullary Nailing | 2011 | 2 |
About Naeem Ullah
Naeem Ullah is a scholar working on General Dentistry, Endocrinology, Periodontics, Neurology and Molecular Medicine, having authored 68 papers that have together received 885 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (4 papers), Digital Imaging for Blood Diseases (3 papers), Streptococcal Infections and Treatments (3 papers), Smart Agriculture and AI (3 papers), Antibiotic Resistance in Bacteria (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Neurology (194 citations), Computer Vision and Pattern Recognition (207 citations), Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Artificial Intelligence (205 citations). Naeem Ullah has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Javed Ali Khan, Muhammad Sohail Khan, Asaf Raza, Wahab Khan, Ali Javed, Muhammad Shahid Anwar, Sultan Almakdi, Shaker El–Sappagh, Nora El-Rashidy and Ahmed S. Salama. Their work appears in journals such as BMC Oral Health, Applied Sciences, Health Security, European Journal of Gastroenterology & Hepatology and Cell Death Discovery.
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.