Matthew Arentz
Matthew Arentz publishes mostly in Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging, on topics such as Tuberculosis Research and Epidemiology, COVID-19 diagnosis using AI and Pneumocystis jirovecii pneumonia detection and treatment.
- World rank
- #2,279,886 of 7,710,434 ranked researchers
- Rank in United States
- #680,899 of 1,627,098
- Works
- 31
- Citations
- 4.2k
- Citations per work
- 135.5
What does Matthew Arentz research?
Matthew Arentz's work is mostly in Medicine (62%), Immunology and Microbiology (8%).
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 Sciences1962.1%
- Medicine1962.1%
- Everything else930.1%
- Life Sciences27.8%
- 1Infectious Diseases23% of their works
- 2Epidemiology12% of their works
- 3Radiology, Nuclear Medicine and Imaging11% of their works
- 4Surgery11% of their works
- 5Immunology8% of their works
- 6Health Informatics4% of their works
Research topics
- Tuberculosis Research and Epidemiology
- COVID-19 diagnosis using AI
- Pneumocystis jirovecii pneumonia detection and treatment
- Mycobacterium research and diagnosis
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases and Tuberculosis
- Diverse Scientific Research Studies
- COVID-19 Clinical Research Studies
Which keywords describe Matthew Arentz's research?
The keywords of their largest research topics: Epidemiology, Treatment, Diagnosis, Immune Response, Vaccine, Mycobacterium tuberculosis, Tuberculosis and Artificial Intelligence.
- SARS-CoV-2
- Coronavirus
- Tuberculous Meningitis
- Nontuberculous Mycobacteria
- Machine Learning
- Pneumonia
- Pandemic
- Convolutional Neural Networks
- Antiretroviral Therapy
- Artificial Intelligence
- Mycobacterium tuberculosis
- Immune Response
- Treatment
- Epidemiology
- Diagnosis
- Vaccine
- Tuberculosis
- Medical Imaging
- COVID-19
- Deep Learning
- Pneumocystis
- Healthcare
- Mycobacterium avium
- Spinal Epidural Abscess
- Clinical Characteristics
- Health
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 26 words, with their numbers
- Epidemiology274 topics
- Treatment274 topics
- Diagnosis243 topics
- Immune Response182 topics
- Vaccine182 topics
- Mycobacterium tuberculosis151 topic
- Tuberculosis151 topic
- Artificial Intelligence102 topics
- Medical Imaging102 topics
- Antiretroviral Therapy92 topics
- COVID-1992 topics
- Convolutional Neural Networks61 topic
- Deep Learning61 topic
- Pandemic62 topics
- Pneumocystis51 topic
- Pneumonia51 topic
- Healthcare41 topic
- Machine Learning41 topic
- Mycobacterium avium41 topic
- Nontuberculous Mycobacteria41 topic
- Spinal Epidural Abscess41 topic
- Tuberculous Meningitis41 topic
- Clinical Characteristics31 topic
- Coronavirus31 topic
- Health31 topic
- SARS-CoV-231 topic
Where does Matthew Arentz work?
Matthew Arentz's main affiliation in the publication record is University of Washington, United States.
How many publications and citations does Matthew Arentz have?
OpenAlex counts 31 works and 4,201 citations for Matthew Arentz, an h-index of 13, ranking #2,279,886 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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