Wiktoria Bartnikowska

422 total citations
10 papers, 220 citations indexed

About

Wiktoria Bartnikowska is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and General Health Professions. According to data from OpenAlex, Wiktoria Bartnikowska has authored 10 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Informatics, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in General Health Professions. Recurrent topics in Wiktoria Bartnikowska's work include Artificial Intelligence in Healthcare and Education (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (3 papers). Wiktoria Bartnikowska is often cited by papers focused on Artificial Intelligence in Healthcare and Education (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (3 papers). Wiktoria Bartnikowska collaborates with scholars based in Poland and United States. Wiktoria Bartnikowska's co-authors include Jakub Kufel, Łukasz Czogalik, Katarzyna Gruszczyńska, Iga Paszkiewicz, Anna Lis, Maciej Cebula, Maciej Koźlik and Zbigniew Nawrat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Medicine.

In The Last Decade

Wiktoria Bartnikowska

8 papers receiving 212 citations

Peers

Wiktoria Bartnikowska

HI

RNMI

AI

PRM

BE

Iga Paszkiewicz Poland

Łukasz Czogalik Poland

Maciej Koźlik Poland

Jakub Kufel Poland

Anna Lis Poland

Sharut Gupta India

Saad Khan United Kingdom

Krithika Rangarajan India

Yejin Park South Korea

Deborah Fazzini Italy

Iga Paszkiewicz Poland

Wiktoria Bartnikowska

60 ×0.9

HI

74 ×1.1

RNMI

44 ×1.0

AI

33 ×1.5

PRM

15 ×1.0

BE

Citations per year, relative to Wiktoria Bartnikowska Wiktoria Bartnikowska (= 1×) peers Iga Paszkiewicz

Countries citing papers authored by Wiktoria Bartnikowska

Since Specialization

Citations

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

Fields of papers citing papers by Wiktoria Bartnikowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiktoria Bartnikowska

This figure shows the co-authorship network connecting the top 25 collaborators of Wiktoria Bartnikowska. A scholar is included among the top collaborators of Wiktoria Bartnikowska 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 Wiktoria Bartnikowska. Wiktoria Bartnikowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

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

2.

Kufel, Jakub, et al.. (2024). An investigative analysis – ChatGPT’s capability to excel in the Polish speciality exam in pathology. Polish Journal of Pathology. 75(3). 236–240.

3.

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

4.

Kufel, Jakub, et al.. (2024). Evaluating ChatGPT-3.5 in allergology: performance in the Polish Specialist Examination. SHILAP Revista de lepidopterología. 11(1). 42–47. 5 indexed citations

5.

Kufel, Jakub, et al.. (2024). Exploring the performance of ChatGPT-3.5 in addressing dermatological queries: a research investigation into AI capabilities. SHILAP Revista de lepidopterología. 111(1). 26–30. 4 indexed citations

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.

Kufel, Jakub, et al.. (2023). Will ChatGPT pass the Polish specialty exam in radiology and diagnostic imaging? Insights into strengths and limitations. Polish Journal of Radiology. 88. 430–434. 26 indexed citations

10.

Kufel, Jakub, Maciej Koźlik, Łukasz Czogalik, et al.. (2022). Usability of Mobile Solutions Intended for Diagnostic Images—A Systematic Review. Healthcare. 10(10). 2040–2040. 7 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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