K. Koszela

1.6k total citations
97 papers, 1.3k citations indexed

About

K. Koszela is a scholar working on Food Science, Mechanical Engineering and Plant Science. According to data from OpenAlex, K. Koszela has authored 97 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Food Science, 25 papers in Mechanical Engineering and 18 papers in Plant Science. Recurrent topics in K. Koszela's work include Food Drying and Modeling (15 papers), Spectroscopy and Chemometric Analyses (15 papers) and Surface Treatment and Coatings (12 papers). K. Koszela is often cited by papers focused on Food Drying and Modeling (15 papers), Spectroscopy and Chemometric Analyses (15 papers) and Surface Treatment and Coatings (12 papers). K. Koszela collaborates with scholars based in Poland, Netherlands and Iraq. K. Koszela's co-authors include P. Boniecki, M. Zaborowicz, Krzysztof Przybył, J. Przybył, W. Mueller, Andrzej Lewicki, Łukasz Gierz, H. Piekarska-Boniecka, Jacek Dach and Wojciech Czekała and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

K. Koszela

92 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Koszela Poland	22	415	288	272	269	168	97	1.3k
M. Zaborowicz Poland	22	273 0.7×	209 0.7×	219 0.8×	216 0.8×	178 1.1×	81	1.2k
P. Boniecki Poland	28	421 1.0×	343 1.2×	313 1.2×	342 1.3×	296 1.8×	158	1.9k
Krzysztof Przybył Poland	20	296 0.7×	182 0.6×	164 0.6×	145 0.5×	119 0.7×	68	770
Ahmad Banakar Iran	26	417 1.0×	338 1.2×	624 2.3×	336 1.2×	252 1.5×	90	1.9k
Amin Taheri‐Garavand Iran	24	296 0.7×	420 1.5×	556 2.0×	239 0.9×	390 2.3×	52	1.8k
J. Przybył Poland	20	167 0.4×	129 0.4×	179 0.7×	161 0.6×	149 0.9×	76	854
Soleiman Hosseinpour Iran	25	555 1.3×	296 1.0×	197 0.7×	412 1.5×	770 4.6×	47	1.9k
Reza Alimardani Iran	21	145 0.3×	256 0.9×	457 1.7×	333 1.2×	157 0.9×	96	1.5k
Mohsen Azadbakht Iran	18	508 1.2×	77 0.3×	235 0.9×	211 0.8×	144 0.9×	60	1.1k

Countries citing papers authored by K. Koszela

Since Specialization

Citations

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

Fields of papers citing papers by K. Koszela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Koszela

This figure shows the co-authorship network connecting the top 25 collaborators of K. Koszela. A scholar is included among the top collaborators of K. Koszela 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 K. Koszela. K. Koszela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Koszela, K., et al.. (2024). Measurements of the flow of a liquid–solid mixture/suspension through a segmented orifice. Scientific Reports. 14(1). 269–269. 2 indexed citations

Przybył, Krzysztof, Katarzyna Walkowiak, Aleksandra Jedlińska, et al.. (2023). Fruit Powder Analysis Using Machine Learning Based on Color and FTIR-ATR Spectroscopy—Case Study: Blackcurrant Powders. Applied Sciences. 13(16). 9098–9098. 6 indexed citations

Gierz, Łukasz, et al.. (2022). Measurements and Analysis of the Physical Properties of Cereal Seeds Depending on Their Moisture Content to Improve the Accuracy of DEM Simulation. Applied Sciences. 12(2). 549–549. 13 indexed citations

Gierz, Łukasz, et al.. (2020). Computer Aided Modeling of Wood Chips Transport by Means of a Belt Conveyor with Use of Discrete Element Method. Applied Sciences. 10(24). 9091–9091. 15 indexed citations

Gierz, Łukasz, Krzysztof Przybył, K. Koszela, & Piotr Markowski. (2020). The Effectiveness of the Application of a Chemical Agent (Dressing) to Seed Potatoes by Means of an Innovative Valve Enabling Intermittent Flow of a Liquid. Agriculture. 10(3). 85–85. 1 indexed citations

Przybył, Krzysztof, et al.. (2020). Application of artificial neural network for the quality-based classification of spray-dried rhubarb juice powders. Journal of Food Science and Technology. 60(3). 809–819. 23 indexed citations

Pilarski, Krzysztof, et al.. (2012). Neural estimation of methane emission level from typical agricultural substrates.. Journal of Research and Applications in Agricultural Engineering. 57(1). 115–119. 2 indexed citations

Koszela, K., et al.. (2012). Porównanie metody instrumentalnej i komputerowej analizy obrazu w ocenie jakościowej wybranych produktów rolniczych. Journal of Research and Applications in Agricultural Engineering. 57. 91–95. 1 indexed citations

Koszela, K.. (2012). Klasyfikacja suszu pietruszki z wykorzystaniem sztucznych sieci neuronowych. Journal of Research and Applications in Agricultural Engineering. 57. 87–90. 1 indexed citations

10.

Koszela, K.. (2012). CLASSIFICATION OF DRIED PARSNIP USING ARTIFICIAL NEURAL NETWORKS. Journal of Research and Applications in Agricultural Engineering. 57(1). 87–90. 6 indexed citations

11.

Mueller, W., et al.. (2012). Methodology of comparing the performance of SQL insert operations in selected RDBMS.. Journal of Research and Applications in Agricultural Engineering. 57(2). 134–137. 1 indexed citations

12.

Pilarski, Krzysztof, et al.. (2012). Neuronowa estymacja poziomu emisji biometanu z typowych substratów rolniczych. Journal of Research and Applications in Agricultural Engineering. 57. 115–119. 1 indexed citations

13.

Zaborowicz, M., K. Koszela, & P. Boniecki. (2011). The concept of artificial neural networks application in the process of evaluation of the quality of tomatoes.. Journal of Research and Applications in Agricultural Engineering. 56(1). 147–149. 1 indexed citations

14.

Zaborowicz, M., K. Koszela, & P. Boniecki. (2011). Koncepcja wykorzystania sztucznych sieci neuronowych w procesie oceny jakości pomidorów. Journal of Research and Applications in Agricultural Engineering. 56. 147–149. 4 indexed citations

15.

Boniecki, P., et al.. (2010). Klasyfikacja wybranych odmian jabłek oraz suszu marchwi z wykorzystaniem sieci neuronowych typu Kohonena. Journal of Research and Applications in Agricultural Engineering. 55. 11–15.

16.

Boniecki, P., et al.. (2010). Classification of selected apples varieties and dried carrots using neural network type Kohonen.. Journal of Research and Applications in Agricultural Engineering. 55(1). 11–15. 2 indexed citations

17.

Koszela, K. & J. Weres. (2009). Neuronowa klasyfikacja obrazów suszu warzywnego. Agricultural Engineering/Inżynieria Rolnicza. 61–67. 5 indexed citations

18.

Koszela, K. & J. Weres. (2005). ANALIZA I KLASYFIKACJA OBRAZÓW SUSZU WARZYWNEGO Z WYKORZYSTANIEM SZTUCZNYCH SIECI NEURONOWYCH. Agricultural Engineering/Inżynieria Rolnicza. 1 indexed citations

19.

Koszela, K., P. Boniecki, & J. Weres. (2005). Ocena efektywności neuronowego prognozowania w oparciu o wybrane metody na przykładzie dystrybucji produktów rolniczych. Agricultural Engineering/Inżynieria Rolnicza. 5 indexed citations

20.

Koszela, K., et al.. (2004). Vozmoznosti coversenstvovania tehnologii mehaniceskoj obrabotki pocvy pri biologiceskom vyrasivanii kartofela. Journal of Research and Applications in Agricultural Engineering. 49. 22–23. 3 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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