Artur Przelaskowski

563 total citations
46 papers, 260 citations indexed

About

Artur Przelaskowski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Artur Przelaskowski has authored 46 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Artur Przelaskowski's work include Advanced Data Compression Techniques (18 papers), Image and Signal Denoising Methods (15 papers) and AI in cancer detection (9 papers). Artur Przelaskowski is often cited by papers focused on Advanced Data Compression Techniques (18 papers), Image and Signal Denoising Methods (15 papers) and AI in cancer detection (9 papers). Artur Przelaskowski collaborates with scholars based in Poland, Canada and Saudi Arabia. Artur Przelaskowski's co-authors include Katarzyna Sklinda, Jerzy Walecki, Anna Wróblewska, Przemysław Biecek, Bartosz Mruk, Mariusz Duplaga, Z. Papir, Mikołaj Leszczuk, L. Mikhailov and Paweł Grieb and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Sensors.

In The Last Decade

Artur Przelaskowski

36 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Artur Przelaskowski Poland	8	123	81	60	49	40	46	260
Fandong Zhang China	10	94 0.8×	119 1.5×	112 1.9×	8 0.2×	56 1.4×	22	253
Xian Wu China	7	211 1.7×	46 0.6×	62 1.0×	14 0.3×	55 1.4×	10	327
Solon A. Peixoto Brazil	11	65 0.5×	121 1.5×	149 2.5×	38 0.8×	77 1.9×	15	359
Xin Shu China	10	86 0.7×	191 2.4×	141 2.4×	31 0.6×	18 0.5×	28	309
Vijaya Kumar Koppula India	8	55 0.4×	43 0.5×	72 1.2×	20 0.4×	69 1.7×	16	205
Lisa Di Jorio Canada	5	133 1.1×	102 1.3×	163 2.7×	13 0.3×	27 0.7×	9	319
Aaron Loh United States	3	86 0.7×	227 2.8×	189 3.1×	14 0.3×	32 0.8×	3	375
Hongchun Lu China	8	169 1.4×	123 1.5×	98 1.6×	19 0.4×	12 0.3×	13	307
Tarik Alafif Saudi Arabia	9	89 0.7×	157 1.9×	104 1.7×	11 0.2×	46 1.1×	21	303
Farida Mohsen Qatar	7	32 0.3×	125 1.5×	99 1.6×	17 0.3×	30 0.8×	17	316

Countries citing papers authored by Artur Przelaskowski

Since Specialization

Citations

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

Fields of papers citing papers by Artur Przelaskowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Przelaskowski

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

All Works

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20 of 20 papers shown

Przelaskowski, Artur, et al.. (2021). Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies. Pattern Recognition. 118. 108035–108035. 40 indexed citations

Przelaskowski, Artur. (2015). Recovery of CT stroke hypodensity – An adaptive variational approach. Computerized Medical Imaging and Graphics. 46. 131–141. 3 indexed citations

Przelaskowski, Artur, et al.. (2014). Hypodensity extractor: A phantom study. Computers in Biology and Medicine. 56. 124–131. 1 indexed citations

Alqarni, Mohammed, Yaseen M. Arabi, Waldemar W. Koczkodaj, et al.. (2011). Improving the predictability of ICU illness severity scales. Federated Conference on Computer Science and Information Systems. 11–17. 1 indexed citations

Przelaskowski, Artur, et al.. (2011). Conceptual improvements in computer-aided diagnosis of acute stroke. Journal of Medical Informatics & Technologies. 17. 3 indexed citations

Koczkodaj, Waldemar W., Artur Przelaskowski, & Kazimierz Szopiński. (2010). Medical knowledge mining from image data: synthesis of medical image assessments for early stroke detection. 19(3). 283–298. 1 indexed citations

Przelaskowski, Artur, et al.. (2009). Improving Diagnostic Value of CT Examinations in Hyperacute Ischemic Stroke. Acta neurochirurgica. Supplementum. 106. 165–170. 3 indexed citations

Walecki, Jerzy, et al.. (2009). CT diagnosis of early stroke : the initial approach to the new CAD tool based on multiscale estimation of ischemia. Jagiellonian University Repository (Jagiellonian University). 3 indexed citations

Przelaskowski, Artur, et al.. (2008). Monitor Udaru jako narzędzie wspomagania diagnostyki badań TK mózgu. Elektronika : konstrukcje, technologie, zastosowania. 49. 104–114. 1 indexed citations

10.

Przelaskowski, Artur, et al.. (2008). Kompresja i transkodowanie medycznego wideo : metody kontroli jakości danych. Elektronika : konstrukcje, technologie, zastosowania. 49. 145–150.

11.

Przelaskowski, Artur, et al.. (2008). Zintegrowany system wspomagania diagnostyki mammograficznej. Elektronika : konstrukcje, technologie, zastosowania. 49. 122–127.

12.

Przelaskowski, Artur, et al.. (2007). A framework for integrated, diagnosis supporting interface for mammograms description: advantages and pitfalls. International Conference on Human-Computer Interaction. 80–86. 1 indexed citations

13.

Przelaskowski, Artur, et al.. (2006). Improved early stroke detection: Wavelet-based perception enhancement of computerized tomography exams. Computers in Biology and Medicine. 37(4). 524–533. 47 indexed citations

14.

Przelaskowski, Artur. (2004). The JPEG2000 standard for medical image applications. SHILAP Revista de lepidopterología. 147–158. 2 indexed citations

15.

Wróblewska, Anna, et al.. (2003). Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms. Opto-Electronics Review. 227–235. 26 indexed citations

16.

Przelaskowski, Artur. (2003). Vector quality measure of lossy compressed medical images. Computers in Biology and Medicine. 34(3). 193–207. 19 indexed citations

17.

Przelaskowski, Artur. (2002). Falkowe metody kompresji danych obrazowych. 3–226. 2 indexed citations

18.

Przelaskowski, Artur. (2002). Performance evaluation of JPEG 2000-like data decomposition schemes in wavelet codec. 2. 788–791. 2 indexed citations

19.

Przelaskowski, Artur. (2001). Techniki optymalizacji falkowej reprezentacji obrazów medycznych. 123–142. 1 indexed citations

20.

Przelaskowski, Artur. (2000). Modelling and quantization of wavelet domain data in compression scheme. 379–388. 1 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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