Iga Paszkiewicz

426 total citations
6 papers, 225 citations indexed

About

Iga Paszkiewicz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics. According to data from OpenAlex, Iga Paszkiewicz has authored 6 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Health Informatics. Recurrent topics in Iga Paszkiewicz's work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Iga Paszkiewicz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Iga Paszkiewicz collaborates with scholars based in Poland, Austria and Jordan. Iga Paszkiewicz's co-authors include Jakub Kufel, Łukasz Czogalik, Katarzyna Gruszczyńska, Wiktoria Bartnikowska, Maciej Cebula, Zbigniew Nawrat, Anna Lis, Maciej Koźlik, David D‘Andrea and Marco Moschini and has published in prestigious journals such as Cancers, Journal of Clinical Medicine and Journal of Personalized Medicine.

In The Last Decade

Iga Paszkiewicz

6 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iga Paszkiewicz Poland	4	74	60	44	33	17	6	225
Łukasz Czogalik Poland	6	94 1.3×	72 1.2×	50 1.1×	38 1.2×	17 1.0×	16	252
Wiktoria Bartnikowska Poland	5	67 0.9×	69 1.1×	43 1.0×	22 0.7×	15 0.9×	10	220
Maciej Koźlik Poland	5	56 0.8×	37 0.6×	41 0.9×	33 1.0×	14 0.8×	12	246
Jakub Kufel Poland	7	109 1.5×	73 1.2×	52 1.2×	41 1.2×	18 1.1×	26	301
Anna Lis Poland	4	41 0.6×	32 0.5×	35 0.8×	20 0.6×	14 0.8×	11	198
Maciej Cebula Poland	7	85 1.1×	38 0.6×	45 1.0×	49 1.5×	17 1.0×	26	291
Sharut Gupta India	4	97 1.3×	49 0.8×	75 1.7×	15 0.5×	7 0.4×	5	214
Yuqi Wang China	9	85 1.1×	19 0.3×	30 0.7×	25 0.8×	8 0.5×	32	254
Jiayi Yin China	8	64 0.9×	106 1.8×	75 1.7×	24 0.7×	5 0.3×	27	329
Yejin Park South Korea	11	47 0.6×	38 0.6×	54 1.2×	22 0.7×	14 0.8×	35	465

Countries citing papers authored by Iga Paszkiewicz

Since Specialization

Citations

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

Fields of papers citing papers by Iga Paszkiewicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iga Paszkiewicz

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

All Works

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6 of 6 papers shown

1.

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

2.

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

3.

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

4.

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

5.

Kufel, Jakub, Maciej Cebula, Iga Paszkiewicz, et al.. (2023). Multi-Label Classification of Chest X-ray Abnormalities Using Transfer Learning Techniques. Journal of Personalized Medicine. 13(10). 1426–1426. 20 indexed citations

6.

Rajwa, Paweł, Iga Paszkiewicz, Hadi Mostafaei, et al.. (2022). Online Crowdfunding for Urologic Cancer Care. Cancers. 14(17). 4104–4104. 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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