K. Frankiewicz
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
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- Particle physics theoretical and experimental studies 3
- Dark Matter and Cosmic Phenomena 2
- Particle Detector Development and Performance 1
- Astrophysics and Cosmic Phenomena 1
- Neutrino Physics Research 1
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- Scientific Research and Discoveries 1
- Co-authors
- Marcin Woźniak (1 shared paper)Dawid Połap (1 shared paper)Giacomo Capizzi (1 shared paper)Grazia Lo Sciuto (1 shared paper)Leon Kośmider (1 shared paper)J. M. Conrad (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Journal of Physics Conference Series (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- PolandItalyUnited States
In The Last Decade
K. Frankiewicz
4 papers receiving 92 citations
Peers
Comparison fields: 5 of 32
- Radiology, Nuclear Medicine and Imaging 53
- Health Informatics 3
- Nuclear and High Energy Physics 17
- Artificial Intelligence 30
- Pulmonary and Respiratory Medicine 29
Countries citing papers authored by K. Frankiewicz
This map shows the geographic impact of K. Frankiewicz'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 K. Frankiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Frankiewicz more than expected).
Fields of papers citing papers by K. Frankiewicz
This network shows the impact of papers produced by K. Frankiewicz. 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 K. Frankiewicz. The network helps show where K. Frankiewicz may publish in the future.
Co-authors
The 6 scholars most cited alongside K. Frankiewicz, 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 | 2018 | 75 | |
| 2 | The CosmicWatch Desktop Muon Detector: a self-contained, pocket sized particle detector | 2018 | 12 |
| 3 | 2017 | 4 | |
| 4 | 2015 | 3 |
About K. Frankiewicz
K. Frankiewicz is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 4 papers that have together received 94 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Dark Matter and Cosmic Phenomena (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Particle Detector Development and Performance (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Scientific Research and Discoveries (1 paper), Astrophysics and Cosmic Phenomena (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (53 citations), Health Informatics (3 citations), Nuclear and High Energy Physics (17 citations), Artificial Intelligence (30 citations) and Pulmonary and Respiratory Medicine (29 citations). K. Frankiewicz has collaborated with scholars based in Poland, Italy and United States. Frequent co-authors include Marcin Woźniak, Dawid Połap, Giacomo Capizzi, Grazia Lo Sciuto, Leon Kośmider and J. M. Conrad. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Journal of Physics Conference Series and DSpace@MIT (Massachusetts Institute of Technology).
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.