Noman Mohammed
Impact in
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Health Informatics top 2%
Papers in
-
- Privacy-Preserving Technologies in Data 57
- Cryptography and Data Security 45
- Machine Learning in Healthcare 7
- Co-authors
- Benjamin C. M. FungRui ChenMourad DebbabiMd Momin Al AzizBipin C. DesaiPhilip S. YuXiaoqian JiangPatrick C. K. Hung
- Journals
- BMC Medical Genomics (3 papers)Journal of Biomedical Informatics (3 papers)BMC Medical Informatics and Decision Making (3 papers)Scientific Reports (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- CanadaUnited StatesUnited Arab Emirates
In The Last Decade
Noman Mohammed
78 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 1.7k
- Health Informatics 56
- Computer Science Applications 178
- Signal Processing 328
- Computer Networks and Communications 447
Countries citing papers authored by Noman Mohammed
This map shows the geographic impact of Noman Mohammed'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 Noman Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noman Mohammed more than expected).
Fields of papers citing papers by Noman Mohammed
This network shows the impact of papers produced by Noman Mohammed. 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 Noman Mohammed. The network helps show where Noman Mohammed may publish in the future.
Co-authors
The 25 scholars most cited alongside Noman Mohammed, 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 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 38 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 5 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 21 | |
| 17 | 2017 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2012 | 39 | |
| 20 | 2007 | 58 |
About Noman Mohammed
Noman Mohammed is a scholar working on Artificial Intelligence, Signal Processing, Health Informatics, Information Systems and Management Science and Operations Research, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (57 papers), Cryptography and Data Security (45 papers), Privacy, Security, and Data Protection (8 papers), Cancer Genomics and Diagnostics (7 papers), Machine Learning in Healthcare (7 papers), Mobile Ad Hoc Networks (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Data Quality and Management (6 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Health Informatics (56 citations), Computer Science Applications (178 citations), Signal Processing (328 citations) and Computer Networks and Communications (447 citations). Noman Mohammed has collaborated with scholars based in Canada, United States and United Arab Emirates. Frequent co-authors include Benjamin C. M. Fung, Rui Chen, Mourad Debbabi, Md Momin Al Aziz, Bipin C. Desai, Philip S. Yu, Xiaoqian Jiang, Patrick C. K. Hung, Dima Alhadidi and Shuang Wang. Their work appears in journals such as BMC Medical Genomics, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, Scientific Reports and IEEE Journal of Biomedical and Health Informatics.
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.