Hester A. Gietema
-
- Radiomics and Machine Learning in Medical Imaging 31
- COVID-19 diagnosis using AI 6
-
- Lung Cancer Diagnosis and Treatment 42
- Chronic Obstructive Pulmonary Disease (COPD) Research 14
- Lung Cancer Treatments and Mutations 8
- Medical Imaging and Pathology Studies 8
- Respiratory Support and Mechanisms 7
- Health Informatics top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 6
- Co-authors
- Mathias ProkopBram van GinnekenBartjan de HoopRob J. van KlaverenKeelin MurphyCornelia Schaefer‐ProkopArnold M. R. SchilhamPieter Zanen
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineCritical Care and Intensive Care Medicine
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Hester A. Gietema
65 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 1.8k
- Pulmonary and Respiratory Medicine 2.2k
- Critical Care and Intensive Care Medicine 192
- Health Informatics 32
- Infectious Diseases 413
Countries citing papers authored by Hester A. Gietema
This map shows the geographic impact of Hester A. Gietema'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 Hester A. Gietema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hester A. Gietema more than expected).
Fields of papers citing papers by Hester A. Gietema
This network shows the impact of papers produced by Hester A. Gietema. 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 Hester A. Gietema. The network helps show where Hester A. Gietema may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hester A. Gietema, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 13 | |
| 6 | CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19—Definition and Evaluationbreakdown → | 2020 | 550 |
| 7 | 2020 | 38 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 28 | |
| 10 | 2014 | 93 | |
| 11 | 2013 | 21 | |
| 12 | 2012 | 110 | |
| 13 | 2012 | 11 | |
| 14 | 2011 | 36 | |
| 15 | 2010 | 35 | |
| 16 | 2010 | 62 | |
| 17 | 2009 | 17 | |
| 18 | 2007 | 57 | |
| 19 | 2006 | 94 | |
| 20 | 2006 | 264 |
About Hester A. Gietema
Hester A. Gietema is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 68 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (42 papers), Radiomics and Machine Learning in Medical Imaging (31 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers), Lung Cancer Treatments and Mutations (8 papers), Medical Imaging and Pathology Studies (8 papers), Respiratory Support and Mechanisms (7 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Pulmonary and Respiratory Medicine (2.2k citations) and Critical Care and Intensive Care Medicine (192 citations). Hester A. Gietema has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Mathias Prokop, Bram van Ginneken, Bartjan de Hoop, Rob J. van Klaveren, Keelin Murphy, Cornelia Schaefer‐Prokop, Arnold M. R. Schilham, Pieter Zanen, Matthijs Oudkerk and Harry J. de Koning. Their work appears in journals such as JAMA, Journal of Clinical Oncology and PLoS ONE.
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.