Jacek Jakubowski

426 total citations
46 papers, 289 citations indexed

About

Jacek Jakubowski is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacek Jakubowski has authored 46 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 12 papers in Electrical and Electronic Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jacek Jakubowski's work include Flow Measurement and Analysis (11 papers), Voice and Speech Disorders (6 papers) and Electrical and Bioimpedance Tomography (5 papers). Jacek Jakubowski is often cited by papers focused on Flow Measurement and Analysis (11 papers), Voice and Speech Disorders (6 papers) and Electrical and Bioimpedance Tomography (5 papers). Jacek Jakubowski collaborates with scholars based in Poland, United States and Montenegro. Jacek Jakubowski's co-authors include A. Michalski, S. Osowski, Tomasz Drewniak, Andrzej Skalski, Monika Nojszewska, Anna Potulska‐Chromik, Anna Kostera‐Pruszczyk, A. Dobrowolski, J. Hoffman and Z. Szymański and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Physics in Medicine and Biology and Experimental Biology and Medicine.

In The Last Decade

Jacek Jakubowski

43 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacek Jakubowski Poland 10 80 69 63 50 35 46 289
Pietro Bonizzi Netherlands 11 56 0.7× 41 0.6× 48 0.8× 41 0.8× 59 1.7× 56 619
Munna Khan India 12 144 1.8× 22 0.3× 61 1.0× 16 0.3× 19 0.5× 65 444
Yiqing Hu China 11 26 0.3× 85 1.2× 51 0.8× 8 0.2× 25 0.7× 36 454
Faisal M. Kashif United States 10 83 1.0× 14 0.2× 45 0.7× 92 1.8× 13 0.4× 20 353
Alice N. Cheeran India 12 90 1.1× 21 0.3× 111 1.8× 9 0.2× 21 0.6× 58 413
Juan J. Pérez Spain 14 80 1.0× 18 0.3× 99 1.6× 12 0.2× 21 0.6× 46 464
Suxian Cai China 10 171 2.1× 33 0.5× 16 0.3× 11 0.2× 23 0.7× 14 340
Rupert Faltermeier Germany 12 53 0.7× 18 0.3× 37 0.6× 133 2.7× 30 0.9× 21 456
Tainsong Chen Taiwan 12 172 2.1× 16 0.2× 25 0.4× 23 0.5× 8 0.2× 47 460
M. Sasikala India 13 103 1.3× 126 1.8× 34 0.5× 17 0.3× 7 0.2× 40 518

Countries citing papers authored by Jacek Jakubowski

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Jakubowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Jakubowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Jakubowski. A scholar is included among the top collaborators of Jacek Jakubowski 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 Jacek Jakubowski. Jacek Jakubowski 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.
Potulska‐Chromik, Anna, et al.. (2024). Analysis of Handwriting for Recognition of Parkinson’s Disease: Current State and New Study. Electronics. 13(19). 3962–3962. 2 indexed citations
2.
Abràmoff, Michael D., Philip T. Lavin, Jacek Jakubowski, et al.. (2024). Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease. npj Digital Medicine. 7(1). 369–369. 4 indexed citations
3.
Jakubowski, Jacek, et al.. (2023). Application of imaging techniques to objectify the Finger Tapping test used in the diagnosis of Parkinson's disease. Bulletin of the Polish Academy of Sciences Technical Sciences. 144886–144886. 2 indexed citations
4.
Potulska‐Chromik, Anna, et al.. (2022). Analysis of hand and face images for the purpose of engineering support for Parkinson's disease diagnosis. 4(1). 13–20. 1 indexed citations
5.
Jakubowski, Jacek, et al.. (2021). D-Dot Sensor Response Improvement in the Evaluation of High-Power Microwave Pulses. Electronics. 10(2). 123–123. 10 indexed citations
6.
Jakubowski, Jacek, et al.. (2020). Selected problems of image data preprocessing used to perform examination in Parkinson’s disease. 24–24. 1 indexed citations
7.
Jakubowski, Jacek. (2020). A study on the calibration of an HPM meter based on a D-dot sensor and logarithmic RF power detector. Metrology and Measurement Systems. 673–685. 1 indexed citations
8.
9.
Skalski, Andrzej, Jacek Jakubowski, & Tomasz Drewniak. (2018). LEFMIS: locally-oriented evaluation framework for medical image segmentation algorithms. Physics in Medicine and Biology. 63(16). 165016–165016. 3 indexed citations
10.
Jakubowski, Jacek, et al.. (2018). Detection of driver fatigue symptoms using transfer learning. Bulletin of the Polish Academy of Sciences Technical Sciences. 869–874. 6 indexed citations
11.
Skalski, Andrzej, Jacek Jakubowski, & Tomasz Drewniak. (2016). Kidney tumor segmentation and detection on Computed Tomography data. 238–242. 15 indexed citations
12.
Jakubowski, Jacek, et al.. (2014). Ocena powtarzalności punktów kluczowych obrazów twarzy z zakresu światła widzialnego i podczerwieni. PRZEGLĄD ELEKTROTECHNICZNY. 205–208.
13.
Jakubowski, Jacek, et al.. (2013). Rozpoznawanie twarzy na podstawie cech lokalnych obrazów z zakresu światła widzialnego i podczerwieni. PRZEGLĄD ELEKTROTECHNICZNY. 144–147. 1 indexed citations
14.
Jakubowski, Jacek. (2012). Ocena możliwości wykorzystania deskryptorów cech lokalnych obrazu twarzy w zadaniu automatycznej identyfikacji osób. PRZEGLĄD ELEKTROTECHNICZNY. 217–221. 4 indexed citations
15.
Jakubowski, Jacek, et al.. (2012). Discussion on the development of low power off-grid electromagnetic sensor. PRZEGLĄD ELEKTROTECHNICZNY. 98–100. 1 indexed citations
16.
Jakubowski, Jacek & A. Michalski. (2011). Estimation of flow velocity in open channels with the use of electromagnetic flowmeter and neural network. PRZEGLĄD ELEKTROTECHNICZNY. 54–58. 2 indexed citations
17.
Jakubowski, Jacek & A. Michalski. (2008). Analiza możliwości zastosowania metody najmniejszych kwadratów w algorytmie pomiarowym przepływomierza elektromagnetycznego dla kanału otwartego. PRZEGLĄD ELEKTROTECHNICZNY. 126–131. 1 indexed citations
18.
Jakubowski, Jacek & A. Michalski. (2007). Estimation of Flow Parameters for the Needs of the Electromagnetic Measurement in Open Channels Based on a Concept of Inner Product Spaces. Conference proceedings - IEEE Instrumentation/Measurement Technology Conference. 1–5. 1 indexed citations
19.
Jakubowski, Jacek & A. Michalski. (2006). A new approach to the estimation of basic flow parameters within the electromagnetic measuring method for open channels. IEEE Instrumentation & Measurement Magazine. 9(3). 60–75. 7 indexed citations
20.
Jakubowski, Jacek, et al.. (2004). The measuring set and signal processing method for the characterization of human hand tremor. 149–154. 11 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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