Tomasz Czakiert

1.6k total citations
41 papers, 1.3k citations indexed

About

Tomasz Czakiert is a scholar working on Biomedical Engineering, Mechanical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Tomasz Czakiert has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 26 papers in Mechanical Engineering and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Tomasz Czakiert's work include Thermochemical Biomass Conversion Processes (19 papers), Chemical Looping and Thermochemical Processes (14 papers) and Iron and Steelmaking Processes (9 papers). Tomasz Czakiert is often cited by papers focused on Thermochemical Biomass Conversion Processes (19 papers), Chemical Looping and Thermochemical Processes (14 papers) and Iron and Steelmaking Processes (9 papers). Tomasz Czakiert collaborates with scholars based in Poland, United Kingdom and Japan. Tomasz Czakiert's co-authors include W. Nowak, Jarosław Krzywański, W. Muskała, Anna Żyłka, Marcin Sosnowski, Karolina Grabowska, Karol Sztekler, Zbigniew Bis, Pawel Kozołub and Gabriel Węcel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Fuel.

In The Last Decade

Tomasz Czakiert

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomasz Czakiert Poland 22 796 692 425 235 162 41 1.3k
Jouni Ritvanen Finland 17 606 0.8× 582 0.8× 341 0.8× 151 0.6× 82 0.5× 49 1.0k
Timo Hyppänen Finland 24 1.0k 1.3× 934 1.3× 813 1.9× 174 0.7× 119 0.7× 73 1.8k
Gyungmin Choi South Korea 23 694 0.9× 322 0.5× 692 1.6× 218 0.9× 60 0.4× 65 1.4k
Yunhan Xiao China 25 637 0.8× 855 1.2× 789 1.9× 175 0.7× 126 0.8× 129 1.9k
Guangxi Yue China 25 748 0.9× 781 1.1× 902 2.1× 115 0.5× 69 0.4× 88 1.7k
David Pallarès Sweden 26 1.1k 1.3× 892 1.3× 1.1k 2.5× 133 0.6× 69 0.4× 97 1.8k
Linbo Yan China 19 687 0.9× 585 0.8× 262 0.6× 130 0.6× 76 0.5× 47 1.1k
Lei Jia China 21 724 0.9× 516 0.7× 207 0.5× 130 0.6× 70 0.4× 57 1.3k
Junfu Lyu China 25 933 1.2× 743 1.1× 770 1.8× 195 0.8× 39 0.2× 128 1.8k
David Patiño Spain 26 1.5k 1.9× 414 0.6× 957 2.3× 157 0.7× 84 0.5× 66 2.0k

Countries citing papers authored by Tomasz Czakiert

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Czakiert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Czakiert

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Czakiert. A scholar is included among the top collaborators of Tomasz Czakiert 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 Tomasz Czakiert. Tomasz Czakiert 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.
Krzywański, Jarosław, Tomasz Czakiert, W. Nowak, et al.. (2024). Towards cleaner energy: An innovative model to minimize NOx emissions in chemical looping and CO2 capture technologies. Energy. 312. 133397–133397. 30 indexed citations
2.
Krzywański, Jarosław, W. Nowak, Dorian Skrobek, et al.. (2024). Modeling of bed-to-wall heat transfer coefficient in fluidized adsorption bed by gene expression programming approach. Powder Technology. 449. 120392–120392. 12 indexed citations
3.
Grabowska, Karolina, Jarosław Krzywański, Anna Żyłka, et al.. (2024). Implementation of Fluidized Bed Concept to Improve Heat Transfer in Ecological Adsorption Cooling and Desalination Systems. Energies. 17(2). 379–379. 4 indexed citations
4.
Żyłka, Anna, Jarosław Krzywański, Tomasz Czakiert, et al.. (2020). Modeling of the Chemical Looping Combustion of Hard Coal and Biomass Using Ilmenite as the Oxygen Carrier. Energies. 13(20). 5394–5394. 24 indexed citations
5.
Czakiert, Tomasz, et al.. (2019). Studies on Solids Flow in a Cold Model of a Dual Fluidized Bed Reactor for Chemical Looping Combustion of Solid Fuels. Journal of Energy Resources Technology. 142(2). 4 indexed citations
6.
Żyłka, Anna, Jarosław Krzywański, Tomasz Czakiert, et al.. (2017). Symulacje numeryczne spalania biomasy w pętli chemicznej. 1 indexed citations
7.
Żyłka, Anna, et al.. (2016). Modelowanie procesu fluidalnego spalania paliw stałych w pętli chemicznej. Rynek Energii. 1 indexed citations
8.
Czakiert, Tomasz, et al.. (2016). First experience in operation of cold model of fb-clc-sf (fluidized-bed chemical-looping-combustion solid-fuels) facility. 1 indexed citations
9.
Czakiert, Tomasz, et al.. (2015). Charakterystyka pracy zimnego modelu układu fluidalnego spalania w pętli chemicznej. Rynek Energii.
10.
Krzywański, Jarosław, et al.. (2015). A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach. Fuel Processing Technology. 137. 66–74. 55 indexed citations
11.
Czakiert, Tomasz & W. Nowak. (2013). Spalanie tlenowe w układach z kotłami PC, CFB i PCFB. Energetyka. 1 indexed citations
12.
Adamczyk, Wojciech, Adam Klimanek, Ryszard A. Białecki, et al.. (2013). Comparison of the standard Euler–Euler and hybrid Euler–Lagrange approaches for modeling particle transport in a pilot-scale circulating fluidized bed. Particuology. 15. 129–137. 80 indexed citations
13.
Nowak, W., W. Muskała, Jarosław Krzywański, & Tomasz Czakiert. (2011). The Research of CFB Boiler Operation for Oxygen Enhanced Dried Lignite Combustion. Rynek Energii. 172–176. 39 indexed citations
14.
Czakiert, Tomasz, et al.. (2010). Oxy-fuel circulating fluidized bed combustion in a small pilot-scale test rig. Fuel Processing Technology. 91(11). 1617–1623. 103 indexed citations
15.
Krzywański, Jarosław, Tomasz Czakiert, W. Muskała, R. Sekret, & W. Nowak. (2010). Modeling of solid fuel combustion in oxygen-enriched atmosphere in circulating fluidized bed boiler. Fuel Processing Technology. 91(3). 364–368. 44 indexed citations
16.
Krzywański, Jarosław, Tomasz Czakiert, W. Muskała, R. Sekret, & W. Nowak. (2009). Modeling of solid fuels combustion in oxygen-enriched atmosphere in circulating fluidized bed boiler. Fuel Processing Technology. 91(3). 290–295. 50 indexed citations
17.
Czakiert, Tomasz, W. Nowak, & Zbigniew Bis. (2008). Spalanie w atmosferach modyfikowanych tlenem kierunkiem rozwoju dla kotłów CWF. Energetyka. 713–718. 5 indexed citations
18.
Muskała, W., Jarosław Krzywański, Tomasz Czakiert, R. Sekret, & W. Nowak. (2008). Spalanie w atmosferach modyfikowanych O2 i CO2. 177–178. 4 indexed citations
19.
Bis, Zbigniew & Tomasz Czakiert. (2006). Fluidalne spalanie węgla w atmosferze wzbogaconej tlenem. Polityka Energetyczna – Energy Policy Journal. 329–342. 2 indexed citations
20.
Czakiert, Tomasz. (2005). Badania doświadczalne fluidalnego spalania węgla brunatnego w atmosferze wzbogaconej tlenem. Chemical and Process Engineering New Frontiers. 831–845. 2 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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