Bilal Akhter Mateen
Bilal Akhter Mateen publishes mostly in Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health, on topics such as Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare and COVID-19 Clinical Research Studies.
- World rank
- #104,575 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #9,216 of 367,258
- Works
- 128
- Citations
- 8.5k
- Citations per work
- 66.5
What does Bilal Akhter Mateen research?
Bilal Akhter Mateen's work is mostly in Medicine (34%), Computer Science (10%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else7256.4%
- Health Sciences4333.7%
- Medicine4333.7%
- Physical Sciences139.9%
- Computer Science139.9%
- 1Health Informatics12% of their works
- 2Artificial Intelligence10% of their works
- 3Public Health, Environmental and Occupational Health7% of their works
- 4Infectious Diseases5% of their works
- 5Epidemiology5% of their works
- 6Endocrinology, Diabetes and Metabolism4% of their works
Research topics
- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- COVID-19 Clinical Research Studies
- Explainable Artificial Intelligence (XAI)
- Diabetes Treatment and Management
- COVID-19 and healthcare impacts
- Health Systems, Economic Evaluations, Quality of Life
- Ethics and Social Impacts of AI
Which keywords describe Bilal Akhter Mateen's research?
The keywords of their largest research topics: Healthcare, Precision Medicine, Artificial Intelligence, Machine Learning, Clinical Decision Support, Medical Imaging, Pandemic and Clinical Characteristics.
- Ethics
- Cost-effectiveness Analysis
- Machine Learning Interpretability
- Cardiovascular Outcomes
- COVID-19
- Electronic Health Records
- Clinical Characteristics
- Medical Imaging
- Machine Learning
- Precision Medicine
- Healthcare
- Artificial Intelligence
- Clinical Decision Support
- Pandemic
- Deep Learning
- SARS-CoV-2
- Cancer
- Interpretable Models
- Type 2 Diabetes
- Quality of Life
- Fairness
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Healthcare653 topics
- Precision Medicine552 topics
- Artificial Intelligence492 topics
- Machine Learning492 topics
- Clinical Decision Support411 topic
- Medical Imaging411 topic
- Pandemic242 topics
- Clinical Characteristics141 topic
- Deep Learning141 topic
- Electronic Health Records141 topic
- SARS-CoV-2141 topic
- COVID-19101 topic
- Cancer101 topic
- Cardiovascular Outcomes101 topic
- Interpretable Models101 topic
- Machine Learning Interpretability101 topic
- Type 2 Diabetes101 topic
- Cost-effectiveness Analysis91 topic
- Quality of Life91 topic
- Ethics81 topic
- Fairness81 topic
Where does Bilal Akhter Mateen work?
Bilal Akhter Mateen's main affiliation in the publication record is University College London, United Kingdom.
How many publications and citations does Bilal Akhter Mateen have?
OpenAlex counts 128 works and 8,516 citations for Bilal Akhter Mateen, an h-index of 25, ranking #104,575 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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