Brian Pogatchnik
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- COVID-19 diagnosis using AI 3
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- Lung Cancer Diagnosis and Treatment 3
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
- Co-authors
- Barbara M. Segal (3 shared papers)Kathy Moser Sivils (2 shared papers)Lisa L. Henn (1 shared paper)Kyle D. Rudser (1 shared paper)N.L. Rhodus (2 shared papers)Harmeet Bedi (2 shared papers)Husham Sharifi (1 shared paper)H. Henry Guo (3 shared papers)
- Journals
- Radiology Cardiothoracic Imaging (2 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Journal of Computer Assisted Tomography (1 paper)Lara D. Veeken (1 paper)Scandinavian Journal of Rheumatology (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Brian Pogatchnik
15 papers receiving 334 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 29
- Radiology, Nuclear Medicine and Imaging 111
- Physiology 123
- Sensory Systems 16
- Neurology 26
Countries citing papers authored by Brian Pogatchnik
This map shows the geographic impact of Brian Pogatchnik'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 Brian Pogatchnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Pogatchnik more than expected).
Fields of papers citing papers by Brian Pogatchnik
This network shows the impact of papers produced by Brian Pogatchnik. 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 Brian Pogatchnik. The network helps show where Brian Pogatchnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Pogatchnik, 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 | 2021 | 110 | |
| 2 | 2013 | 57 | |
| 3 | 2011 | 51 | |
| 4 | 2020 | 43 | |
| 5 | 2010 | 30 | |
| 6 | 2021 | 18 | |
| 7 | 2014 | 16 | |
| 8 | 2014 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2017 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2020 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2022 | 0 |
About Brian Pogatchnik
Brian Pogatchnik is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Physiology and Surgery, having authored 19 papers that have together received 339 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Salivary Gland Disorders and Functions (4 papers), COVID-19 diagnosis using AI (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Mechanical Circulatory Support Devices (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Physiology (123 citations), Sensory Systems (16 citations) and Neurology (26 citations). Brian Pogatchnik has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Barbara M. Segal, Kathy Moser Sivils, Lisa L. Henn, Kyle D. Rudser, N.L. Rhodus, Harmeet Bedi, Husham Sharifi, H. Henry Guo, Jeff A. Sloan and H. Liu. Their work appears in journals such as Radiology Cardiothoracic Imaging, American Journal of Respiratory and Critical Care Medicine, Journal of Computer Assisted Tomography, Lara D. Veeken and Scandinavian Journal of Rheumatology.
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.