Maciej Cebula

543 total citations
26 papers, 291 citations indexed

About

Maciej Cebula is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Surgery. According to data from OpenAlex, Maciej Cebula has authored 26 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Maciej Cebula's work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Maciej Cebula is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Maciej Cebula collaborates with scholars based in Poland, Italy and Germany. Maciej Cebula's co-authors include Jakub Kufel, Katarzyna Gruszczyńska, Łukasz Czogalik, Maciej Koźlik, Zbigniew Nawrat, Iga Paszkiewicz, Wiktoria Bartnikowska, Anna Lis, Arkadiusz Z. Dudek and Jan Baron and has published in prestigious journals such as Scientific Reports, Liver International and Journal of Clinical Medicine.

In The Last Decade

Maciej Cebula

23 papers receiving 282 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maciej Cebula Poland 7 85 49 45 39 38 26 291
Jakub Kufel Poland 7 109 1.3× 41 0.8× 52 1.2× 26 0.7× 73 1.9× 26 301
Maciej Koźlik Poland 5 56 0.7× 33 0.7× 41 0.9× 18 0.5× 37 1.0× 12 246
Vikash Gupta United States 10 108 1.3× 52 1.1× 26 0.6× 31 0.8× 52 1.4× 28 265
Suguru Yasutomi Japan 8 147 1.7× 32 0.7× 83 1.8× 70 1.8× 82 2.2× 18 347
Dongjun Choi South Korea 9 78 0.9× 23 0.5× 46 1.0× 42 1.1× 50 1.3× 14 323
Łukasz Czogalik Poland 6 94 1.1× 38 0.8× 50 1.1× 15 0.4× 72 1.9× 16 252
Kevin J. Little United States 8 171 2.0× 48 1.0× 65 1.4× 64 1.6× 55 1.4× 20 440
Yuming Chong China 9 77 0.9× 54 1.1× 21 0.5× 19 0.5× 20 0.5× 39 293
Gleb Danilov Russia 10 74 0.9× 18 0.4× 58 1.3× 115 2.9× 62 1.6× 102 408
Iga Paszkiewicz Poland 4 74 0.9× 33 0.7× 44 1.0× 15 0.4× 60 1.6× 6 225

Countries citing papers authored by Maciej Cebula

Since Specialization
Citations

This map shows the geographic impact of Maciej Cebula'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 Maciej Cebula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Cebula more than expected).

Fields of papers citing papers by Maciej Cebula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maciej Cebula. 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 Maciej Cebula. The network helps show where Maciej Cebula may publish in the future.

Co-authorship network of co-authors of Maciej Cebula

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Cebula. A scholar is included among the top collaborators of Maciej Cebula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maciej Cebula. Maciej Cebula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Osiewicz, Magdalena, Mieszko Więckiewicz, Anna Olchowy, et al.. (2025). Exploring the link between temporomandibular disorders and infectious diseases: A systematic review of comorbidities and underlying mechanisms. Dental and Medical Problems. 62(6). 1189–1200.
2.
Kufel, Jakub, Łukasz Czogalik, Wiktoria Bartnikowska, et al.. (2024). Measurement of Cardiothoracic Ratio on Chest X-rays Using Artificial Intelligence—A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 13(16). 4659–4659. 2 indexed citations
3.
Cebula, Maciej, et al.. (2024). Evaluation of Various Methods of Liver Measurement in Comparison to Volumetric Segmentation Based on Computed Tomography. Journal of Clinical Medicine. 13(13). 3634–3634. 1 indexed citations
4.
Kufel, Jakub, Iga Paszkiewicz, Anna Lis, et al.. (2024). Deep Learning in Cardiothoracic Ratio Calculation and Cardiomegaly Detection. Journal of Clinical Medicine. 13(14). 4180–4180. 2 indexed citations
5.
6.
Kufel, Jakub, Maciej Koźlik, Wiktoria Bartnikowska, et al.. (2023). What Is Machine Learning, Artificial Neural Networks and Deep Learning?—Examples of Practical Applications in Medicine. Diagnostics. 13(15). 2582–2582. 170 indexed citations
7.
Kufel, Jakub, Maciej Koźlik, Wiktoria Bartnikowska, et al.. (2023). Mobile applications in radiology: own study based on polish data. Scientific Reports. 13(1). 20049–20049.
8.
Kufel, Jakub, Maciej Koźlik, Łukasz Czogalik, et al.. (2023). Chest X-ray Foreign Objects Detection Using Artificial Intelligence. Journal of Clinical Medicine. 12(18). 5841–5841. 4 indexed citations
9.
Żorniak, Michał, Paweł Madej, Susanne N. Weber, et al.. (2023). Liver phenotypes in PCOS: Analysis of exogenous and inherited risk factors for liver injury in two European cohorts. Liver International. 43(5). 1080–1088. 4 indexed citations
10.
Bułdak, Łukasz, Marcin Basiak, Witold Szkróbka, et al.. (2023). Initial clinical, laboratory and radiological features of SARS-CoV-2-infected patients and their impact on the course of the disease. Advances in Clinical and Experimental Medicine. 32(10). 1125–1132. 1 indexed citations
11.
Koźlik, Maciej, et al.. (2023). Quality of Life 6 Months after COVID-19 Hospitalisation: A Single-Centre Polish Registry. Journal of Clinical Medicine. 12(16). 5327–5327. 4 indexed citations
12.
Cebula, Maciej, Jan Baron, Katarzyna Gruszczyńska, et al.. (2023). Technical aspects of inter-recti distance measurement with ultrasonographic imaging for physiotherapy purposes: the scoping review. Insights into Imaging. 14(1). 92–92. 8 indexed citations
13.
14.
Kufel, Jakub, et al.. (2022). Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review. International Journal of Medical Sciences. 19(12). 1743–1752. 12 indexed citations
15.
Cebula, Maciej, et al.. (2022). Intestinal Elastography in the Diagnostics of Ulcerative Colitis: A Narrative Review. Diagnostics. 12(9). 2070–2070. 3 indexed citations
16.
Woźniak, Magdalena, et al.. (2022). Epilepsy in Pediatric Patients—Evaluation of Brain Structures’ Volume Using VolBrain Software. Journal of Clinical Medicine. 11(16). 4657–4657. 8 indexed citations
17.
Więcek, Sabina, et al.. (2022). Assessment of Liver Fibrosis with the Use of Elastography in Paediatric Patients with Diagnosed Cystic Fibrosis. Disease Markers. 2022. 1–8. 3 indexed citations
18.
Cebula, Maciej, et al.. (2021). Muscle Ultrasonographic Elastography in Children: Review of the Current Knowledge and Application. Children. 8(11). 1042–1042. 4 indexed citations
19.
Cebula, Maciej, et al.. (2020). Hand Injuries in the Polish Silesian Paediatric Population—An Exploratory Cross-Sectional Study of Post-Traumatic X-rays. Medicina. 56(10). 550–550. 3 indexed citations
20.
Cebula, Maciej, et al.. (2018). Impact of Window Computed Tomography (CT) Parameters on Measurement of Inflammatory Changes in Paranasal Sinuses. Polish Journal of Radiology. 82. 567–570. 3 indexed citations

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.

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