Grzegorz Kłosowski

1.5k total citations
80 papers, 924 citations indexed

About

Grzegorz Kłosowski is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Geophysics. According to data from OpenAlex, Grzegorz Kłosowski has authored 80 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 23 papers in Mechanical Engineering and 20 papers in Geophysics. Recurrent topics in Grzegorz Kłosowski's work include Electrical and Bioimpedance Tomography (49 papers), Geophysical and Geoelectrical Methods (20 papers) and Flow Measurement and Analysis (17 papers). Grzegorz Kłosowski is often cited by papers focused on Electrical and Bioimpedance Tomography (49 papers), Geophysical and Geoelectrical Methods (20 papers) and Flow Measurement and Analysis (17 papers). Grzegorz Kłosowski collaborates with scholars based in Poland, United Kingdom and United States. Grzegorz Kłosowski's co-authors include Tomasz Rymarczyk, Edward Kozłowski, Arkadiusz Gola, Anna Hoła, Łukasz Skowron, Antoni Świć, J. Sikora, Dariusz Wójcik, Amila Thibbotuwawa and Monika Kulisz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Grzegorz Kłosowski

72 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grzegorz Kłosowski Poland 17 505 214 197 171 161 80 924
Tomasz Rymarczyk Poland 22 1.0k 2.0× 363 1.7× 416 2.1× 381 2.2× 295 1.8× 221 1.6k
Dong Han China 12 417 0.8× 221 1.0× 400 2.0× 113 0.7× 25 0.2× 43 1.4k
Haibo Liang China 12 171 0.3× 224 1.0× 128 0.6× 76 0.4× 17 0.1× 45 893
Ekin Özer United States 15 225 0.4× 152 0.7× 124 0.6× 27 0.2× 46 0.3× 27 1.2k
Lei Si China 19 84 0.2× 530 2.5× 344 1.7× 121 0.7× 61 0.4× 90 1.3k
Angelo Trotta Italy 21 906 1.8× 83 0.4× 51 0.3× 175 1.0× 23 0.1× 99 1.6k
Yanfeng Geng China 17 280 0.6× 103 0.5× 261 1.3× 207 1.2× 17 0.1× 77 1.1k
Joon-Young Park South Korea 19 232 0.5× 407 1.9× 51 0.3× 76 0.4× 20 0.1× 74 914
Samit Ray‐Chaudhuri India 21 142 0.3× 160 0.7× 204 1.0× 32 0.2× 32 0.2× 93 1.6k

Countries citing papers authored by Grzegorz Kłosowski

Since Specialization
Citations

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

Fields of papers citing papers by Grzegorz Kłosowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grzegorz Kłosowski

This figure shows the co-authorship network connecting the top 25 collaborators of Grzegorz Kłosowski. A scholar is included among the top collaborators of Grzegorz Kłosowski 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 Grzegorz Kłosowski. Grzegorz Kłosowski 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.
Kłosowski, Grzegorz, et al.. (2025). Application of machine learning in electrical process tomography with variable frequency measurement sequences. Measurement. 247. 116770–116770.
2.
Gasiński, Alan, Dawid Mikulski, Grzegorz Kłosowski, & Joanna Kawa‐Rygielska. (2024). Influence of malting procedure on the isoflavonoid content of soybeans. Scientific Reports. 14(1). 7184–7184. 2 indexed citations
3.
Kłosowski, Grzegorz. (2023). Combining electrical capacitance and impedance tomography in monitoring processes. PRZEGLĄD ELEKTROTECHNICZNY. 1(2). 163–166. 3 indexed citations
4.
Kłosowski, Grzegorz, et al.. (2023). Using Machine Learning in Electrical Tomography for Building Energy Efficiency through Moisture Detection. Energies. 16(4). 1818–1818. 8 indexed citations
5.
Kłosowski, Grzegorz, et al.. (2022). The use of heterogeneous deep neural network system in radio tomography to detect people indoors. 859–861. 2 indexed citations
6.
Kłosowski, Grzegorz, et al.. (2022). Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls. 861–862. 2 indexed citations
7.
Kłosowski, Grzegorz & Tomasz Rymarczyk. (2022). APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN WALL MOISTURE IDENTIFICATION BY EIT METHOD. SHILAP Revista de lepidopterología. 12(1). 20–23. 1 indexed citations
8.
Kłosowski, Grzegorz, et al.. (2022). Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings. Energies. 16(1). 275–275. 5 indexed citations
9.
Kłosowski, Grzegorz & Tomasz Rymarczyk. (2022). Ensemble learning for monitoring process in electrical impedance tomography. International Journal of Applied Electromagnetics and Mechanics. 69(2). 169–178. 2 indexed citations
10.
Kłosowski, Grzegorz, et al.. (2021). Comparison of Machine Learning Methods for Image Reconstruction Using the LSTM Classifier in Industrial Electrical Tomography. Energies. 14(21). 7269–7269. 14 indexed citations
11.
Rymarczyk, Tomasz, et al.. (2019). Process Analysis with Electrical Impedance and Capacitance Tomography Data. 161–165. 2 indexed citations
12.
Pizoń, Jakub, et al.. (2019). Key role and potential of Industrial Internet of Things (IIoT) in modern production monitoring applications. SHILAP Revista de lepidopterología. 252. 9003–9003. 7 indexed citations
13.
Rymarczyk, Tomasz, et al.. (2019). Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. Sensors. 19(7). 1521–1521. 69 indexed citations
14.
Kłosowski, Grzegorz, et al.. (2019). Maintenance of industrial reactors supported by deep learning driven ultrasound tomography. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 22(1). 138–147. 38 indexed citations
15.
Rymarczyk, Tomasz, Edward Kozłowski, & Grzegorz Kłosowski. (2019). Electrical impedance tomography in 3D flood embankments testing – elastic net approach. Transactions of the Institute of Measurement and Control. 42(4). 680–690. 18 indexed citations
16.
Kłosowski, Grzegorz, et al.. (2018). NEUR AL CONTROLLER FOR THE SELECTION OF RECYCL ED COMPONENTS IN POLYMER - GYPSY MORTARS. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Kłosowski, Grzegorz, et al.. (2018). NEURAL CONTROLLER FOR THE SELECTION OF RECYCLED COMPONENTS IN POLYMER-GYPSY MORTARS. Applied Computer Science. 14(2). 48–59. 2 indexed citations
18.
Rymarczyk, Tomasz, et al.. (2017). IDEA OF PARAMETRIC AND SEMANTIC OPEN PLATFORM SMART DEVICES SENSOR. SHILAP Revista de lepidopterología. 7(1). 96–100. 1 indexed citations
19.
Rymarczyk, Tomasz, et al.. (2017). THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS. SHILAP Revista de lepidopterología. 7(4). 24–27. 1 indexed citations
20.
Kłosowski, Grzegorz. (2010). Design for a hybrid single multi-load AGV1 simulation system with artifficial intelligence controller. Applied Computer Science. 6(2).

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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