Abubakar Abid
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- AI in cancer detection
- Adversarial Robustness in Machine Learning
- Topic Modeling
Papers in
-
- AI in cancer detection 3
- Natural Language Processing Techniques 2
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 3
- Respiratory Support and Mechanisms 2
- Inhalation and Respiratory Drug Delivery 2
- Co-authors
- James Zou (15 shared papers)Amirata Ghorbani (2 shared papers)Maheen Farooqi (2 shared papers)Pejman Mohammadi (1 shared paper)Amalio Telenti (1 shared paper)Mikael Huss (1 shared paper)Ali Torkamani (1 shared paper)Bryan He (3 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Nature Genetics (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- United StatesSwedenEgypt
In The Last Decade
Abubakar Abid
22 papers receiving 2.0k citations
Abubakar Abid's Hit Papers
Peers
Comparison fields: 5 of 171
- Health Informatics 197
- Artificial Intelligence 808
- Biophysics 101
- Radiology, Nuclear Medicine and Imaging 321
- General Social Sciences 41
Countries citing papers authored by Abubakar Abid
This map shows the geographic impact of Abubakar Abid'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 Abubakar Abid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abubakar Abid more than expected).
Fields of papers citing papers by Abubakar Abid
This network shows the impact of papers produced by Abubakar Abid. 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 Abubakar Abid. The network helps show where Abubakar Abid may publish in the future.
Co-authors
The 25 scholars most cited alongside Abubakar Abid, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A primer on deep learning in genomics Hit paper breakdown → | 2018 | 525 |
| 2 | Interpretation of Neural Networks Is Fragile Hit paper breakdown → | 2019 | 343 |
| 3 | Deep learning interpretation of echocardiograms Hit paper breakdown → | 2020 | 288 |
| 4 | Integrating spatial gene expression and breast tumour morphology via deep learning Hit paper breakdown → | 2020 | 261 |
| 5 | Persistent Anti-Muslim Bias in Large Language Models Hit paper breakdown → | 2021 | 234 |
| 6 | 2018 | 106 | |
| 7 | 2021 | 83 | |
| 8 | 2017 | 47 | |
| 9 | Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. | 2019 | 44 |
| 10 | 2022 | 15 | |
| 11 | 2017 | 13 | |
| 12 | 2018 | 11 | |
| 13 | Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders | 2018 | 10 |
| 14 | 2023 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2015 | 2 | |
| 20 | Wireless Power Transfer to Millimeter-Sized Gastrointestinal Electronics Validated in a Swine Model | 2017 | 1 |
About Abubakar Abid
Abubakar Abid is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Molecular Biology and Biomedical Engineering, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cell Image Analysis Techniques (2 papers), Natural Language Processing Techniques (2 papers), Respiratory Support and Mechanisms (2 papers), Wireless Body Area Networks (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Health Informatics (197 citations), Artificial Intelligence (808 citations), Biophysics (101 citations), Radiology, Nuclear Medicine and Imaging (321 citations) and General Social Sciences (41 citations). Abubakar Abid has collaborated with scholars based in United States, Sweden and Egypt. Frequent co-authors include James Zou, Amirata Ghorbani, Maheen Farooqi, Pejman Mohammadi, Amalio Telenti, Mikael Huss, Ali Torkamani, Bryan He, David Liang and Euan A. Ashley. Their work appears in journals such as Nature Machine Intelligence, Nature Genetics, Scientific Reports, Nature Communications and Cell Reports Methods.
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.