Justyna Skibińska

782 total citations
8 papers, 196 citations indexed

About

Justyna Skibińska is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Justyna Skibińska has authored 8 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Physiology. Recurrent topics in Justyna Skibińska's work include Parkinson's Disease Mechanisms and Treatments (3 papers), COVID-19 diagnosis using AI (3 papers) and Neurological disorders and treatments (2 papers). Justyna Skibińska is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), COVID-19 diagnosis using AI (3 papers) and Neurological disorders and treatments (2 papers). Justyna Skibińska collaborates with scholars based in Czechia, Finland and Poland. Justyna Skibińska's co-authors include Radim Bürget, Nirvana Popescu, Asma Channa, Czesława Paluszkiewicz, Tomasz P. Wróbel, Wojciech M. Kwiatek, Jiří Hošek and Yevgeni Koucheryavy and has published in prestigious journals such as Scientific Reports, IEEE Access and Analytica Chimica Acta.

In The Last Decade

Justyna Skibińska

8 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justyna Skibińska Czechia	6	55	31	29	26	22	8	196
Choon‐Hian Goh Malaysia	9	139 2.5×	22 0.7×	5 0.2×	17 0.7×	5 0.2×	29	310
Giada Acciaroli Italy	12	156 2.8×	18 0.6×	15 0.5×	45 1.7×	2 0.1×	16	496
Ali Shuaib Kuwait	9	30 0.5×	52 1.7×	3 0.1×	6 0.2×	8 0.4×	25	272
Tulsi Anna India	11	129 2.3×	54 1.7×	10 0.3×	48 1.8×	2 0.1×	23	285
Lianting Hu China	11	34 0.6×	41 1.3×	2 0.1×	26 1.0×	9 0.4×	34	354
Konstantinos Mitsis Greece	7	30 0.5×	37 1.2×	2 0.1×	8 0.3×	5 0.2×	11	275
Temiloluwa Prioleau United States	11	76 1.4×	10 0.3×	6 0.2×	13 0.5×	2 0.1×	26	382
Glauber Gean de Vasconcelos Brazil	5	164 3.0×	16 0.5×	4 0.1×	5 0.2×	4 0.2×	14	261
Ngoc-Bich Le Vietnam	9	84 1.5×	13 0.4×	15 0.5×	4 0.2×	2 0.1×	32	238

Countries citing papers authored by Justyna Skibińska

Since Specialization

Citations

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

Fields of papers citing papers by Justyna Skibińska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justyna Skibińska

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

All Works

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8 of 8 papers shown

Skibińska, Justyna & Jiří Hošek. (2023). Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease. Heliyon. 9(11). e21175–e21175. 12 indexed citations

Skibińska, Justyna & Radim Bürget. (2022). Is It Possible to Distinguish COVID-19 Cases and Influenza with Wearable Devices? Analysis with Machine Learning. Journal of Advances in Information Technology. 13(3). 2 indexed citations

Skibińska, Justyna, Radim Bürget, Asma Channa, Nirvana Popescu, & Yevgeni Koucheryavy. (2021). COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques. IEEE Access. 9. 119476–119491. 8 indexed citations

Skibińska, Justyna & Radim Bürget. (2021). The Transferable Methodologies of Detection Sleep Disorders Thanks to the Actigraphy Device for Parkinson's Disease Detection. Brno University of Technology Digital Library (Brno University of Technology). 1 indexed citations

Channa, Asma, Nirvana Popescu, Justyna Skibińska, & Radim Bürget. (2021). The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review. Sensors. 21(17). 5787–5787. 121 indexed citations

Skibińska, Justyna & Radim Bürget. (2020). Parkinson’s Disease Detection based on Changes of Emotions during Speech. Zenodo (CERN European Organization for Nuclear Research). 124–130. 7 indexed citations

Skibińska, Justyna, et al.. (2018). Comparison of spectral and spatial denoising techniques in the context of High Definition FT-IR imaging hyperspectral data. Scientific Reports. 8(1). 14351–14351. 35 indexed citations

Skibińska, Justyna, et al.. (2018). Denoising influence on discrete frequency classification results for quantum cascade laser based infrared microscopy. Analytica Chimica Acta. 1051. 24–31. 10 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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