Mohammad Ashraf Ottom
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Adversarial Robustness in Machine Learning 1
-
- Artificial Intelligence in Healthcare 3
- Co-authors
- Ivo D. Dinov (5 shared papers)Hanif Abdul Rahman (5 shared papers)Yazan Al-Issa (1 shared paper)Ahmed Tamrawi (1 shared paper)Bilal H. Abed-alguni (1 shared paper)Khalid M.O. Nahar (3 shared papers)Khadizah H. Abdul‐Mumin (2 shared papers)Michael Rosenberg (2 shared papers)
- Journals
- BMC Cancer (1 paper)Earth Systems and Environment (1 paper)BMC Public Health (1 paper)Bioengineering (2 papers)Journal of Computer Science (1 paper)
- Partner nations
- JordanUnited StatesBrunei
In The Last Decade
Mohammad Ashraf Ottom
17 papers receiving 357 citations
Peers
Comparison fields: 5 of 89
- Neurology 100
- Health Informatics 9
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 112
- Information Systems 77
Countries citing papers authored by Mohammad Ashraf Ottom
This map shows the geographic impact of Mohammad Ashraf Ottom'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 Mohammad Ashraf Ottom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ashraf Ottom more than expected).
Fields of papers citing papers by Mohammad Ashraf Ottom
This network shows the impact of papers produced by Mohammad Ashraf Ottom. 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 Mohammad Ashraf Ottom. The network helps show where Mohammad Ashraf Ottom may publish in the future.
Co-authors
The 18 scholars most cited alongside Mohammad Ashraf Ottom, 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 | 2019 | 122 | |
| 2 | 2022 | 102 | |
| 3 | 2019 | 29 | |
| 4 | 2023 | 25 | |
| 5 | Double Delayed Q-learning | 2018 | 23 |
| 6 | 2023 | 20 | |
| 7 | 2019 | 15 | |
| 8 | AIR QUALITY INDEX USING MACHINE LEARNING – A JORDAN CASE STUDY | 2020 | 13 |
| 9 | 2022 | 9 | |
| 10 | 2021 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 1 |
About Mohammad Ashraf Ottom
Mohammad Ashraf Ottom is a scholar working on Artificial Intelligence, Health Information Management, Global and Planetary Change, Oncology and Neurology, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Brain Tumor Detection and Classification (2 papers), Climate variability and models (2 papers), Plant Water Relations and Carbon Dynamics (1 paper), Halal products and consumer behavior (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Neurology (100 citations), Health Informatics (9 citations), Computer Vision and Pattern Recognition (90 citations), Artificial Intelligence (112 citations) and Information Systems (77 citations). Mohammad Ashraf Ottom has collaborated with scholars based in Jordan, United States and Brunei. Frequent co-authors include Ivo D. Dinov, Hanif Abdul Rahman, Yazan Al-Issa, Ahmed Tamrawi, Bilal H. Abed-alguni, Khalid M.O. Nahar, Khadizah H. Abdul‐Mumin, Michael Rosenberg, Rami Mohawesh and Haythem Bany Salameh. Their work appears in journals such as BMC Cancer, Earth Systems and Environment, BMC Public Health, Bioengineering and Journal of Computer 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.