Zbigniew Krzemianowski

515 total citations · 1 hit paper
26 papers, 359 citations indexed

About

Zbigniew Krzemianowski is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Zbigniew Krzemianowski has authored 26 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanics of Materials, 13 papers in Mechanical Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Zbigniew Krzemianowski's work include Cavitation Phenomena in Pumps (16 papers), Hydraulic and Pneumatic Systems (10 papers) and Water Systems and Optimization (6 papers). Zbigniew Krzemianowski is often cited by papers focused on Cavitation Phenomena in Pumps (16 papers), Hydraulic and Pneumatic Systems (10 papers) and Water Systems and Optimization (6 papers). Zbigniew Krzemianowski collaborates with scholars based in Poland, United States and China. Zbigniew Krzemianowski's co-authors include Mahmoud A. El‐Emam, Ling Bai, Ramesh K. Agarwal, Ling Zhou, Janusz Steller, Adam Adamkowski, K. Tesch, Mariusz Lewandowski, Dariusz Borkowski and A. Krella and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Energy.

In The Last Decade

Zbigniew Krzemianowski

25 papers receiving 345 citations

Hit Papers

Application of entropy production theory for energy losse... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zbigniew Krzemianowski Poland 9 264 213 88 87 79 26 359
Feng Hong China 11 315 1.2× 270 1.3× 96 1.1× 72 0.8× 97 1.2× 35 398
Zhenmu Chen China 12 301 1.1× 238 1.1× 157 1.8× 87 1.0× 87 1.1× 58 387
Weixuan Jiao China 13 311 1.2× 246 1.2× 115 1.3× 104 1.2× 136 1.7× 53 423
Minggao Tan China 11 234 0.9× 180 0.8× 77 0.9× 46 0.5× 105 1.3× 51 308
Yongfei Yang China 13 372 1.4× 305 1.4× 131 1.5× 61 0.7× 145 1.8× 41 490
Won-Gu Joo South Korea 11 250 0.9× 268 1.3× 93 1.1× 67 0.8× 101 1.3× 25 357
Quanwei Liang China 11 239 0.9× 207 1.0× 112 1.3× 103 1.2× 91 1.2× 23 356
Qinghong Tang China 14 405 1.5× 245 1.2× 132 1.5× 92 1.1× 174 2.2× 29 537
Mohammad Hadi Sotoude Haghighi Iran 7 282 1.1× 209 1.0× 106 1.2× 53 0.6× 77 1.0× 8 369
Jiajian Zhou China 8 285 1.1× 200 0.9× 99 1.1× 61 0.7× 163 2.1× 12 365

Countries citing papers authored by Zbigniew Krzemianowski

Since Specialization
Citations

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

Fields of papers citing papers by Zbigniew Krzemianowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zbigniew Krzemianowski

This figure shows the co-authorship network connecting the top 25 collaborators of Zbigniew Krzemianowski. A scholar is included among the top collaborators of Zbigniew Krzemianowski 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 Zbigniew Krzemianowski. Zbigniew Krzemianowski 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
2.
Krzemianowski, Zbigniew, et al.. (2024). Similarity Model of a Rotary Lobe Expander Working with Various Fluids. Applied Sciences. 15(1). 120–120. 1 indexed citations
3.
Krzemianowski, Zbigniew & Janusz Steller. (2024). Basic performance, cavitation and runaway investigations of a high specific speed Francis turbine with emphasis on cavitation analysis: A case study. Energy Conversion and Management. 314. 118653–118653. 7 indexed citations
4.
Zhou, Ling, et al.. (2022). Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review. Applied Energy. 318. 119211–119211. 198 indexed citations breakdown →
5.
Krzemianowski, Zbigniew, et al.. (2022). Low-head high specific speed Kaplan turbine for small hydropower – design, CFD loss analysis and basic, cavitation and runaway investigations: A case study. Energy Conversion and Management. 276. 116558–116558. 24 indexed citations
6.
Szwaba, Ryszard, et al.. (2021). Open low speed wind tunnel – design and testing. Archives of Thermodynamics. 57–70.
7.
Krella, A., et al.. (2021). Degradation of Armco iron caused by cavitation: Part II – Correlation with stress analysis. Engineering Failure Analysis. 128. 105621–105621. 2 indexed citations
8.
Krella, A., et al.. (2021). Degradation of Armco iron caused by cavitation: Part I – Correlation with flow. Engineering Failure Analysis. 128. 105586–105586. 1 indexed citations
9.
Krzemianowski, Zbigniew, M. Lackowski, Tomasz Ochrymiuk, & Paweł Flaszyński. (2020). Substitute model and CFD Investigations of a Coalescer in a Three-Phase Crude Oil Gravity Separator. Journal of Applied Fluid Mechanics. 13(3). 805–813. 1 indexed citations
10.
Adamkowski, Adam, et al.. (2019). Flow rate measurements in hydropower plants using the pressure-time method – Experiences and improvements. Flow Measurement and Instrumentation. 68. 101584–101584. 8 indexed citations
11.
Krzemianowski, Zbigniew. (2019). Engineering design of the low-head Kaplan hydraulic turbine blades using the inverse problem method. Bulletin of the Polish Academy of Sciences Technical Sciences. 1133–1147. 7 indexed citations
12.
Steller, Janusz, et al.. (2015). Discharge measurement and performance tests of hydraulic units in low-head small hydropower installations. 1 indexed citations
13.
Krzemianowski, Zbigniew, et al.. (2014). 3D computations of flow field in a guide vane blading designed by means of 2D model for a low head hydraulic turbine. Journal of Physics Conference Series. 530. 12031–12031. 1 indexed citations
14.
Krzemianowski, Zbigniew, et al.. (2013). Impact of Blade Quality on Maximum Efficiency of Low Head Hydraulic Turbine. Mechanics and Mechanical Engineering. 17. 1 indexed citations
15.
Krzemianowski, Zbigniew, et al.. (2011). Experimental Validation of Numerical Model within a Flow Configuration of the Model Kaplan Turbine. Mechanics and Mechanical Engineering. 15. 297–307. 5 indexed citations
16.
Krzemianowski, Zbigniew, et al.. (2011). Computational fluid dynamics simulations of small capacity Kaplan turbines. 71–84. 11 indexed citations
17.
Krzemianowski, Zbigniew, et al.. (2010). A complete design of tandem co-rotating propellers using the new computer system. Polish Maritime Research. 17(4). 8 indexed citations
18.
Adamkowski, Adam, et al.. (2009). Improved Discharge Measurement Using the Pressure-Time Method in a Hydropower Plant Curved Penstock. Journal of Engineering for Gas Turbines and Power. 131(5). 12 indexed citations
19.
Krzemianowski, Zbigniew, et al.. (2009). A complete design of ship propellers using the new computer system. Polish Maritime Research. 16(1). 3 indexed citations
20.
Krzemianowski, Zbigniew, et al.. (2007). Investigations of influence of screw propeller operation on water flow around stern part of ship hull. Polish Maritime Research. 14(1). 3–8. 7 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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