P. Boniecki

2.3k total citations
158 papers, 1.9k citations indexed

About

P. Boniecki is a scholar working on Mechanical Engineering, Food Science and Plant Science. According to data from OpenAlex, P. Boniecki has authored 158 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Mechanical Engineering, 45 papers in Food Science and 28 papers in Plant Science. Recurrent topics in P. Boniecki's work include Surface Treatment and Coatings (44 papers), Spectroscopy and Chemometric Analyses (23 papers) and Engine and Fuel Emissions (20 papers). P. Boniecki is often cited by papers focused on Surface Treatment and Coatings (44 papers), Spectroscopy and Chemometric Analyses (23 papers) and Engine and Fuel Emissions (20 papers). P. Boniecki collaborates with scholars based in Poland, Norway and Finland. P. Boniecki's co-authors include M. Zaborowicz, K. Koszela, Jacek Dach, J. Przybył, Andrzej Lewicki, K. Nowakowski, Krzysztof Pilarski, H. Piekarska-Boniecka, Wojciech Czekała and Sebastian Kujawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Atmospheric Environment.

In The Last Decade

P. Boniecki

126 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Boniecki Poland 28 421 343 342 341 313 158 1.9k
K. Koszela Poland 22 415 1.0× 288 0.8× 269 0.8× 99 0.3× 272 0.9× 97 1.3k
M. Zaborowicz Poland 22 273 0.6× 209 0.6× 216 0.6× 135 0.4× 219 0.7× 81 1.2k
Mohammad Hossein Abbaspour‐Fard Iran 25 235 0.6× 193 0.6× 544 1.6× 119 0.3× 364 1.2× 108 2.2k
Krzysztof Pilarski Poland 21 142 0.3× 96 0.3× 131 0.4× 377 1.1× 166 0.5× 92 1.1k
Danilo Monarca Italy 27 243 0.6× 403 1.2× 265 0.8× 64 0.2× 618 2.0× 120 2.1k
Oliver Hensel Germany 30 1.3k 3.1× 373 1.1× 273 0.8× 103 0.3× 1.1k 3.5× 207 3.7k
Jacek Dach Poland 30 250 0.6× 129 0.4× 289 0.8× 785 2.3× 252 0.8× 166 3.0k
J. Przybył Poland 20 167 0.4× 129 0.4× 161 0.5× 134 0.4× 179 0.6× 76 854
Mehdi Khojastehpour Iran 24 306 0.7× 196 0.6× 208 0.6× 179 0.5× 374 1.2× 89 1.6k
Morteza Sadeghi Iran 29 725 1.7× 223 0.7× 553 1.6× 65 0.2× 474 1.5× 112 2.4k

Countries citing papers authored by P. Boniecki

Since Specialization
Citations

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

Fields of papers citing papers by P. Boniecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Boniecki

This figure shows the co-authorship network connecting the top 25 collaborators of P. Boniecki. A scholar is included among the top collaborators of P. Boniecki 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 P. Boniecki. P. Boniecki 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.
Boniecki, P., et al.. (2023). Neural Modelling from the Perspective of Selected Statistical Methods on Examples of Agricultural Applications. Agriculture. 13(4). 762–762. 4 indexed citations
3.
Pilarska, Agnieszka A., Karol Bula, Krzysztof Pilarski, et al.. (2022). Polylactide (PLA) as a Cell Carrier in Mesophilic Anaerobic Digestion—A New Strategy in the Management of PLA. Materials. 15(22). 8113–8113. 2 indexed citations
4.
Dach, Jacek, et al.. (2017). Relevant Biogas Substrate - Maize Silage vs Slaughterhouse Waste.. 196–204. 5 indexed citations
5.
Pilarska, Agnieszka A., Jacek Dach, & P. Boniecki. (2013). Produkcja i wykorzystywanie pasz w Polsce: stan aktualny i tendencje. 1 indexed citations
6.
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
7.
Boniecki, P., M. Zaborowicz, Krzysztof Przybył, & Krzysztof Pilarski. (2012). COMPUTER SYSTEM PiAO2 AS A TOOL FOR ASSIST NEURAL CLASSIFICATION OF TOMATOES WITHOUT SUPERVISION. Journal of Research and Applications in Agricultural Engineering. 57(1). 26–28. 1 indexed citations
8.
Zaborowicz, M., et al.. (2010). System informatyczny piao jako narzędzie do przetwarzania obrazów cyfrowych wspomagające proces generowania zbiorów uczących przeznaczonych do budowy modeli neuronowych. Journal of Research and Applications in Agricultural Engineering. 55. 128–133. 3 indexed citations
9.
Boniecki, P., et al.. (2008). Neuronowa analiza wplywu sposobu doju i wybranych cech zootechnicznych krow na liczbe komorek somatycznych w mleku. 22–24.
10.
Boniecki, P. & K. Nowakowski. (2008). Classification of maize's kernels with supporting neuronal identification of shape. Journal of Research and Applications in Agricultural Engineering. 2 indexed citations
11.
Mueller, W., et al.. (2008). Internetowy system wspomagający zarządzanie usługami rolniczymi. Agricultural Engineering/Inżynieria Rolnicza. 227–233. 1 indexed citations
12.
Dach, Jacek, et al.. (2007). Zastosowanie sztucznych sieci neuronowych do modelowania procesu emisji amoniaku z pól nawożonych gnojowicą. Agricultural Engineering/Inżynieria Rolnicza. 235–242. 3 indexed citations
13.
Nowakowski, K., et al.. (2007). Wybór reprezentatywnej struktury zbiorów uczących dla potrzeb neuronowych modeli identyfikacyjnych wykorzystywanych w inżynierii rolniczej. Agricultural Engineering/Inżynieria Rolnicza. 183–188. 1 indexed citations
14.
Dach, Jacek, et al.. (2007). Badania wpływu aeracji na dynamikę procesu kompostowania osadów ściekowych w bioreaktorze. Journal of Research and Applications in Agricultural Engineering. 52. 68–72. 1 indexed citations
15.
Boniecki, P., et al.. (2006). NEURALNET 2005: Education computer system supporting the use of artificial neural networks in agriculture. Journal of Research and Applications in Agricultural Engineering. 51. 10–13.
16.
Boniecki, P.. (2005). The Kohonen neural network in classification problems solving in agricultural engineering. Journal of Research and Applications in Agricultural Engineering. 50. 37–40. 13 indexed citations
17.
Boniecki, P.. (2005). Liniowe sieci neuronowe a metody analizy regresji w aspekcie ich wykorzystania w inżynierii rolniczej. Agricultural Engineering/Inżynieria Rolnicza. 1 indexed citations
18.
Niedbała, Gniewko, et al.. (2005). Analiza założeń dla modelowania plonu buraka cukrowego z wykorzystaniem sztucznych sieci neuronowych. Agricultural Engineering/Inżynieria Rolnicza. 1 indexed citations
19.
Boniecki, P.. (2000). Neural networks as an alternative to the classic analysis of empirical systems in agricultural engineering.. 45(4). 72–74.
20.
Loboda, Mark J., et al.. (1997). Subsequent tightenings of the same screw joints. 42(2). 52–57.

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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