M. Borecki

447 citations
81 papers · 347 · h-index 10

Impact in

Papers in

M. Borecki

52 papers receiving 272 citations

Peers

M. Borecki
Comparison fields: 5 of 61
  • Bioengineering 51
  • Analytical Chemistry 36
  • Biomedical Engineering 136
  • Electrical and Electronic Engineering 164
  • Fluid Flow and Transfer Processes 16
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A. Agoston Austria
Mei Liu China
Anton Leidl Germany
Shiraz Sohail India
T. Sogorb Spain
Hong Siang Chua Malaysia
P. Corcoran United Kingdom
Can Liu China
Paweł Wierzba Poland
Rosane Falate Brazil
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Citations per field
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Citations per year

Countries citing papers authored by M. Borecki

Since Specialization
Citations

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

Fields of papers citing papers by M. Borecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside M. Borecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Borecki Line = papers co-authored together M. Borecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201032
2 200727
3
A method of testing the quality of milk using optical capillaries
200917
4 200816
5 201314
6 201313
7 201911
8
Intelligent high resolution sensor for detecting of liquid mediums
20019
9 20219
10 20059
11
Sensing Method and Fiber Optic Capillary Sensor for Testing the Quality of Biodiesel Fuel
20138
12 20077
13 20067
14
Capillary Sensor with UV-VIS Reading of Effects of Diesel and Biodiesel Fuel Degradation in Storage
20166
15 20206
16 20046
17 20186
18 20076
19 20106
20 20166

About M. Borecki

M. Borecki is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Bioengineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 81 papers that have together received 347 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (16 papers), Analytical Chemistry and Sensors (12 papers), Advanced Fiber Optic Sensors (11 papers), Water Quality Monitoring and Analysis (9 papers), Photonic and Optical Devices (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Advanced Chemical Sensor Technologies (7 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). The work is most often cited by research in Bioengineering (51 citations), Analytical Chemistry (36 citations), Biomedical Engineering (136 citations), Electrical and Electronic Engineering (164 citations) and Fluid Flow and Transfer Processes (16 citations). M. Borecki has collaborated with scholars based in Poland and Canada. Frequent co-authors include Michael L. Korwin-Pawlowski, J. Szmidt, A. Jakubowski, Maciej Szmidt, Tomasz Niemiec, Mariusz Sochacki, Krzysztof Kopczyński, Z Szczepański, Kaja Urbańska and B. Więcek. Their work appears in journals such as Sensors, Materials, Measurement Science and Technology, IEEE Sensors Journal and Microelectronic Engineering.

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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