M. Ndao
M. Ndao publishes mostly in Pulmonary and Respiratory Medicine, Infectious Diseases and Artificial Intelligence, on topics such as Tuberculosis Research and Epidemiology, Diagnosis and treatment of tuberculosis and Explainable Artificial Intelligence (XAI).
- World rank
- #6,339,675 of 7,710,434 ranked researchers
- Rank in Senegal
- #1,215 of 2,330
- Works
- 29
- Citations
- 33
- Citations per work
- 1.1
What does M. Ndao research?
M. Ndao's work is mostly in Medicine (47%), Computer Science (10%), Environmental Science (4%).
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
- Health Sciences1446.6%
- Medicine1446.6%
- Everything else1139.3%
- Physical Sciences414.1%
- Computer Science39.9%
- Environmental Science14.2%
- 1Pulmonary and Respiratory Medicine16% of their works
- 2Infectious Diseases13% of their works
- 3Artificial Intelligence10% of their works
- 4Epidemiology10% of their works
- 5Surgery8% of their works
- 6Health, Toxicology and Mutagenesis4% of their works
Research topics
- Tuberculosis Research and Epidemiology
- Diagnosis and treatment of tuberculosis
- Explainable Artificial Intelligence (XAI)
- Healthcare Systems and Practices
- Pneumocystis jirovecii pneumonia detection and treatment
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Statistical and Computational Modeling
Which keywords describe M. Ndao's research?
The keywords of their largest research topics: Diagnosis, Treatment, Mycobacterium tuberculosis, Tuberculosis, Abdominal Tuberculosis, Diagnostic Challenges, CT Screening and EGFR Mutations.
- Inductive Modeling
- Targeted Therapy
- Pneumonia
- Machine Learning Interpretability
- Interpretable Models
- EGFR Mutations
- Diagnostic Challenges
- Tuberculosis
- Treatment
- Diagnosis
- Mycobacterium tuberculosis
- Abdominal Tuberculosis
- CT Screening
- Healthcare Policy
- Lung Cancer
- Pneumocystis
- Public Health
- GMDH-type Neural Networks
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.
All 18 words, with their numbers
- Diagnosis92 topics
- Treatment92 topics
- Mycobacterium tuberculosis61 topic
- Tuberculosis61 topic
- Abdominal Tuberculosis41 topic
- Diagnostic Challenges41 topic
- CT Screening31 topic
- EGFR Mutations31 topic
- Healthcare Policy31 topic
- Interpretable Models31 topic
- Lung Cancer31 topic
- Machine Learning Interpretability31 topic
- Pneumocystis31 topic
- Pneumonia31 topic
- Public Health31 topic
- Targeted Therapy31 topic
- GMDH-type Neural Networks21 topic
- Inductive Modeling21 topic
Where does M. Ndao work?
M. Ndao's main affiliation in the publication record is Centre Hospitalier National Universitaire de Fann, Senegal.
How many publications and citations does M. Ndao have?
OpenAlex counts 29 works and 33 citations for M. Ndao, an h-index of 3, ranking #6,339,675 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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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