Muhammad Umer
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
Papers in
-
- Artificial Intelligence in Healthcare 16
-
- Sentiment Analysis and Opinion Mining 15
- AI in cancer detection 9
- Co-authors
- Saima Sadiq (27 shared papers)Saleem Ullah (15 shared papers)Imran Ashraf (59 shared papers)Michele Nappi (19 shared papers)Arif Mehmood (10 shared papers)Gyu Sang Choi (10 shared papers)Abid Ishaq (12 shared papers)Seyedali Mirjalili (4 shared papers)
- Journals
- IEEE Access (12 papers)PeerJ Computer Science (9 papers)Image and Vision Computing (8 papers)Multimedia Tools and Applications (8 papers)Journal of Ambient Intelligence and Humanized Computing (5 papers)
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Muhammad Umer
102 papers receiving 2.8k citations
Muhammad Umer's Hit Papers
Peers
Comparison fields: 5 of 137
- Health Information Management 407
- Artificial Intelligence 764
- Health Informatics 37
- Computer Science Applications 73
- Computer Vision and Pattern Recognition 272
Countries citing papers authored by Muhammad Umer
This map shows the geographic impact of Muhammad Umer'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 Muhammad Umer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umer more than expected).
Fields of papers citing papers by Muhammad Umer
This network shows the impact of papers produced by Muhammad Umer. 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 Muhammad Umer. The network helps show where Muhammad Umer may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umer, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques Hit paper breakdown → | 2021 | 298 |
| 2 | Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM) Hit paper breakdown → | 2020 | 230 |
| 3 | 2022 | 112 | |
| 4 | 2022 | 111 | |
| 5 | 2020 | 93 | |
| 6 | 2021 | 87 | |
| 7 | 2020 | 83 | |
| 8 | 2021 | 83 | |
| 9 | 2021 | 80 | |
| 10 | 2021 | 78 | |
| 11 | 2020 | 69 | |
| 12 | 2020 | 63 | |
| 13 | 2022 | 58 | |
| 14 | 2019 | 57 | |
| 15 | 2024 | 54 | |
| 16 | 2022 | 53 | |
| 17 | 2022 | 52 | |
| 18 | 2021 | 51 | |
| 19 | 2020 | 47 | |
| 20 | 2023 | 46 |
About Muhammad Umer
Muhammad Umer is a scholar working on Health Information Management, Artificial Intelligence, Computer Science Applications, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 112 papers that have together received 3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (16 papers), Sentiment Analysis and Opinion Mining (15 papers), AI in cancer detection (9 papers), IoT-based Smart Home Systems (6 papers), Network Security and Intrusion Detection (5 papers), Misinformation and Its Impacts (5 papers), Online Learning and Analytics (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Health Information Management (407 citations), Artificial Intelligence (764 citations), Health Informatics (37 citations), Computer Science Applications (73 citations) and Computer Vision and Pattern Recognition (272 citations). Muhammad Umer has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Saima Sadiq, Saleem Ullah, Imran Ashraf, Michele Nappi, Arif Mehmood, Gyu Sang Choi, Abid Ishaq, Seyedali Mirjalili, Vaibhav Rupapara and Shtwai Alsubai. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Image and Vision Computing, Multimedia Tools and Applications and Journal of Ambient Intelligence and Humanized Computing.
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.