W. Marek

990 total citations
51 papers, 567 citations indexed

About

W. Marek is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, W. Marek has authored 51 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 11 papers in Artificial Intelligence. Recurrent topics in W. Marek's work include Air Quality Monitoring and Forecasting (11 papers), Logic, Reasoning, and Knowledge (9 papers) and Advanced Chemical Sensor Technologies (7 papers). W. Marek is often cited by papers focused on Air Quality Monitoring and Forecasting (11 papers), Logic, Reasoning, and Knowledge (9 papers) and Advanced Chemical Sensor Technologies (7 papers). W. Marek collaborates with scholars based in Poland, Iceland and United States. W. Marek's co-authors include Bogdan Pankiewicz, Stanisław Szczepański, Yichuang Sun, Anil Nerode, V. S. Subrahmanian, Jeffrey B. Remmel, Mirosław Truszczyński, Sławomir Kozieł, Anna Pietrenko‐Dabrowska and Michał T. Tomczak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

W. Marek

45 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Marek Poland 14 195 184 176 123 48 51 567
Nitish Patel New Zealand 16 88 0.5× 109 0.6× 345 2.0× 42 0.3× 42 0.9× 109 797
Benyue Su China 12 82 0.4× 189 1.0× 39 0.2× 53 0.4× 139 2.9× 52 546
Janet Roveda United States 11 92 0.5× 93 0.5× 94 0.5× 11 0.1× 65 1.4× 45 377
Xiaolei Zhu China 11 137 0.7× 186 1.0× 425 2.4× 26 0.2× 21 0.4× 48 611
Zhenhua Jia China 10 49 0.3× 147 0.8× 97 0.6× 8 0.1× 165 3.4× 30 459
Zhongliang Zhou China 13 112 0.6× 92 0.5× 218 1.2× 11 0.1× 16 0.3× 60 551
Xiaoyi Liu China 14 85 0.4× 20 0.1× 189 1.1× 36 0.3× 42 0.9× 75 531
Se Jin Kwon South Korea 13 94 0.5× 26 0.1× 95 0.5× 18 0.1× 26 0.5× 53 485
Vacius Jusas Lithuania 12 89 0.5× 50 0.3× 135 0.8× 7 0.1× 59 1.2× 74 558
Mahmoud Masadeh Jordan 12 89 0.5× 48 0.3× 117 0.7× 13 0.1× 48 1.0× 41 584

Countries citing papers authored by W. Marek

Since Specialization
Citations

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

Fields of papers citing papers by W. Marek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Marek

This figure shows the co-authorship network connecting the top 25 collaborators of W. Marek. A scholar is included among the top collaborators of W. Marek 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 W. Marek. W. Marek 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.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2025). Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement. Sensors. 25(8). 2352–2352.
2.
3.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2024). Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction. Measurement. 230. 114529–114529. 10 indexed citations
4.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2024). Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing. Engineering Science and Technology an International Journal. 54. 101729–101729. 3 indexed citations
5.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2024). On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction. Knowledge-Based Systems. 290. 111564–111564. 6 indexed citations
6.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2024). Efficient calibration of cost-efficient particulate matter sensors using machine learning and time-series alignment. Knowledge-Based Systems. 295. 111879–111879. 7 indexed citations
7.
Pietrenko‐Dabrowska, Anna, et al.. (2024). Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring. Measurement. 237. 115168–115168. 5 indexed citations
8.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2024). High-performance machine-learning-based calibration of low-cost nitrogen dioxide sensor using environmental parameter differentials and global data scaling. Scientific Reports. 14(1). 26120–26120. 7 indexed citations
9.
Kozieł, Sławomir, Anna Pietrenko‐Dabrowska, W. Marek, & Bogdan Pankiewicz. (2024). Statistical data pre-processing and time series incorporation for high-efficacy calibration of low-cost NO2 sensor using machine learning. Scientific Reports. 14(1). 9152–9152. 1 indexed citations
10.
Schneider, Philipp, et al.. (2024). Data fusion of sparse, heterogeneous, and mobile sensor devices using adaptive distance attention. SHILAP Revista de lepidopterología. 3. 1 indexed citations
11.
Bekasiewicz, Adrian, et al.. (2021). Application of Open-Hardware-Based Solutions for Rapid Transition From Stationary to the Remote Teaching Model During Pandemic. IEEE Transactions on Education. 64(3). 299–307. 10 indexed citations
12.
Tomczak, Michał T., et al.. (2020). Stress Monitoring System for Individuals With Autism Spectrum Disorders. IEEE Access. 8. 228236–228244. 27 indexed citations
13.
Marek, W. & Bogdan Pankiewicz. (2020). Photoplethysmographic Time-Domain Heart Rate Measurement Algorithm for Resource-Constrained Wearable Devices and its Implementation. Sensors. 20(6). 1783–1783. 34 indexed citations
14.
Pankiewicz, Bogdan, et al.. (2014). Cyfrowy akcelerator wybranych modułów standardu kompresji wideo H.264. PRZEGLĄD ELEKTROTECHNICZNY. 54–57.
15.
Pankiewicz, Bogdan, Stanisław Szczepański, & W. Marek. (2014). Bulk linearized CMOS differential pair transconductor for continuous-time OTA-C filter design. Bulletin of the Polish Academy of Sciences Technical Sciences. 62(1). 77–84. 4 indexed citations
16.
Marek, W. & Bogdan Pankiewicz. (2013). ASIC Design Example of Complex SoC with FPGA Prototyping. PRZEGLĄD ELEKTROTECHNICZNY. 156–158. 1 indexed citations
17.
Musiał, Michał, et al.. (2010). Hardware realization of shadow detection algorithm in FPGA. 201–204. 1 indexed citations
18.
Marek, W., et al.. (1992). How complicated is the set of stable models of a recursive logic program?. Annals of Pure and Applied Logic. 56(1-3). 119–135. 18 indexed citations
19.
Marek, W. & V. S. Subrahmanian. (1992). The relationship between stable, supported, default and autoepistemic semantics for general logic programs. Theoretical Computer Science. 103(2). 365–386. 44 indexed citations
20.
Marek, W., et al.. (1974). Gaps in the contructable universe. Annals of Mathematical Logic. 6(3-4). 359–394. 5 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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