Artur Klepaczko
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- MRI in cancer diagnosis 10
- Advanced MRI Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 5
- Gastroenterology top 5%
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses 5
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- Medical Image Segmentation Techniques 12
- Image Retrieval and Classification Techniques 5
- Oral Surgery top 10%
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- Cerebrovascular and Carotid Artery Diseases 3
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- Smart Agriculture and AI 3
Artur Klepaczko
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 474
- Gastroenterology 84
- Analytical Chemistry 138
- Computer Vision and Pattern Recognition 154
- Oral Surgery 38
Countries citing papers authored by Artur Klepaczko
This map shows the geographic impact of Artur Klepaczko'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 Artur Klepaczko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artur Klepaczko more than expected).
Fields of papers citing papers by Artur Klepaczko
This network shows the impact of papers produced by Artur Klepaczko. 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 Artur Klepaczko. The network helps show where Artur Klepaczko may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Artur Klepaczko, 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 | 2023 | 0 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 6 | |
| 4 | 2018 | 3 | |
| 5 | 2018 | 0 | |
| 6 | 2018 | 0 | |
| 7 | 2018 | 0 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 15 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 15 | |
| 12 | Computer simulation of magnetic resonance angiography imaging. Parallel implementation in heterogeneous computing environment | 2012 | 1 |
| 13 | 2012 | 101 | |
| 14 | 2012 | 204 | |
| 15 | 2011 | 28 | |
| 16 | 2010 | 2 | |
| 17 | Clustering stability-based feature selection for unsupervised texture classification | 2009 | 4 |
| 18 | 2009 | 5 | |
| 19 | Applying cluster analysis to feature selection for data classification | 2007 | 2 |
| 20 | Clustering quality based feature selection method | 2004 | 1 |
About Artur Klepaczko
Artur Klepaczko is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Analytical Chemistry, Gastroenterology and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Image Retrieval and Classification Techniques (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (474 citations), Gastroenterology (84 citations), Analytical Chemistry (138 citations), Computer Vision and Pattern Recognition (154 citations) and Oral Surgery (38 citations). Artur Klepaczko has collaborated with scholars based in Poland, Norway and Germany. Frequent co-authors include Piotr M. Szczypiński, Andrzej Materka, Michał Strzelecki, Piotr Daniel, Piotr Zapotoczny, Marcin Kociołek, Arvid Lundervold, Martha Chekenya, Eli Eikefjord and Andreas Deistung. Their work appears in journals such as Computer Methods and Programs in Biomedicine, EJNMMI Physics, Pattern Analysis and Applications, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Cancers.
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.