J. Weres

771 total citations
47 papers, 611 citations indexed

About

J. Weres is a scholar working on Mechanical Engineering, Building and Construction and Food Science. According to data from OpenAlex, J. Weres has authored 47 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 12 papers in Building and Construction and 11 papers in Food Science. Recurrent topics in J. Weres's work include Wood Treatment and Properties (11 papers), Textile materials and evaluations (7 papers) and Mining and Industrial Processes (4 papers). J. Weres is often cited by papers focused on Wood Treatment and Properties (11 papers), Textile materials and evaluations (7 papers) and Mining and Industrial Processes (4 papers). J. Weres collaborates with scholars based in Poland and France. J. Weres's co-authors include Wiesław Olek, Patrick Perré, P. Boniecki, Sebastian Kujawa, K. Koszela, R Tomczak, M. Zaborowicz, K. Nowakowski, Magdalena Piekutowska and Gniewko Niedbała and has published in prestigious journals such as Materials, Computers and Electronics in Agriculture and Applied Sciences.

In The Last Decade

J. Weres

36 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Weres Poland 16 228 156 141 105 101 47 611
Diego Elustondo Canada 16 410 1.8× 80 0.5× 248 1.8× 115 1.1× 93 0.9× 58 622
Romain Rémond France 17 427 1.9× 125 0.8× 226 1.6× 184 1.8× 144 1.4× 58 821
Paul Funk United States 16 217 1.0× 185 1.2× 124 0.9× 44 0.4× 20 0.2× 71 976
Peter Meinlschmidt Germany 12 80 0.4× 47 0.3× 48 0.3× 134 1.3× 21 0.2× 40 514
J. Przybył Poland 20 134 0.6× 179 1.1× 161 1.1× 12 0.1× 167 1.7× 76 854
Zhuolin Wang China 17 375 1.6× 140 0.9× 78 0.6× 86 0.8× 78 0.8× 56 818
Richard Earle New Zealand 19 137 0.6× 79 0.5× 173 1.2× 84 0.8× 522 5.2× 30 1.1k
R. Younsi Canada 15 466 2.0× 84 0.5× 235 1.7× 159 1.5× 107 1.1× 34 690
Timothy McDonald United States 19 74 0.3× 191 1.2× 199 1.4× 20 0.2× 69 0.7× 92 1.1k

Countries citing papers authored by J. Weres

Since Specialization
Citations

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

Fields of papers citing papers by J. Weres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Weres

This figure shows the co-authorship network connecting the top 25 collaborators of J. Weres. A scholar is included among the top collaborators of J. Weres 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 J. Weres. J. Weres 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.
Weres, J., et al.. (2015). MODELING OF AGRI-FOOD PRODUCTS ON THE BASIS OF SOLID GEOMETRY WITH EXAMPLES IN AUTODESK 3DS MAX AND FINITE ELEMENT MESH GENERATION. Journal of Research and Applications in Agricultural Engineering. 60(2). 5–8. 6 indexed citations
2.
Kujawa, Sebastian, K. Nowakowski, R Tomczak, et al.. (2014). Neural image analysis for maturity classification of sewage sludge composted with maize straw. Computers and Electronics in Agriculture. 109. 302–310. 48 indexed citations
3.
Weres, J., et al.. (2014). TWO APPROACHES TO REPRESENTING AGRI-FOOD PRODUCT GEOMETRY - AN ORIGINAL SOFTWARE FOR CONSTRUCTING FINITE ELEMENT MODELS AND THE 3DS MAX APPROACH. Journal of Research and Applications in Agricultural Engineering. 59(1). 155–158. 5 indexed citations
4.
Weres, J., et al.. (2013). Semantic web technologies for enhancing web-based decision support system for designing and managing drying and storage of cereal grains.. Journal of Research and Applications in Agricultural Engineering. 58(2). 184–187. 1 indexed citations
5.
Weres, J.. (2010). Informatyczny system pozyskiwania danych o geometrii produktów rolniczych na przykładzie ziarniaka kukurydzy. Agricultural Engineering/Inżynieria Rolnicza. 229–236. 4 indexed citations
6.
Weres, J., et al.. (2010). Growth curve functions in modeling the thin-layer drying of corn. Agricultural Engineering/Inżynieria Rolnicza. 27(4). 89–95. 1 indexed citations
7.
Koszela, K. & J. Weres. (2009). Neuronowa klasyfikacja obrazów suszu warzywnego. Agricultural Engineering/Inżynieria Rolnicza. 61–67. 5 indexed citations
8.
Weres, J., Wiesław Olek, & Sebastian Kujawa. (2009). Comparison of optimization algorithms for inverse FEA of heat and mass transport in biomaterials. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 47(3). 701–716. 14 indexed citations
9.
Weres, J., et al.. (2007). KOMPUTEROWE WSPOMAGANIE IDENTYFIKACJI SZKODNIKÓW I CHORÓB RZEPAKU OZIMEGO. Agricultural Engineering/Inżynieria Rolnicza. 109–117.
10.
Mueller, W., P. Boniecki, J. Weres, & K. Nowakowski. (2007). Modelowanie danych w procesie odwzorowywania informatycznego systemów empirycznych stanowiących przedmiot inżynierii rolniczej. Agricultural Engineering/Inżynieria Rolnicza. 175–182.
11.
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.
12.
Boniecki, P., J. Weres, & W. Mueller. (2006). INTERAKTYWNY SYSTEM EDUKACYJNY WSPOMAGAJĄCY PROCES PROJEKTOWANIA ORAZ EKSPLOATACJI SZTUCZNYCH SIECI NEURONOWYCH W ROLNICTWIE. Agricultural Engineering/Inżynieria Rolnicza. 17–27.
13.
Koszela, K. & J. Weres. (2005). ANALIZA I KLASYFIKACJA OBRAZÓW SUSZU WARZYWNEGO Z WYKORZYSTANIEM SZTUCZNYCH SIECI NEURONOWYCH. Agricultural Engineering/Inżynieria Rolnicza. 1 indexed citations
14.
Olek, Wiesław & J. Weres. (2005). Computer Aided Identification of Transport Properties of Wood and Wood Based Panels. Archives of Metallurgy and Materials. 139–146. 1 indexed citations
15.
Olszewski, Tomasz K., P. Boniecki, & J. Weres. (2005). Algorytmy genetyczne jako narzędzie optymalizacyjne stosowane w sieciach neuronowych. Agricultural Engineering/Inżynieria Rolnicza. 2 indexed citations
16.
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
17.
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
18.
Boniecki, P. & J. Weres. (2003). Wykorzystanie technik neuronowych do predykcji wielkości zbiorów wybranych płodów rolnych. Journal of Research and Applications in Agricultural Engineering. 48. 56–59. 4 indexed citations
19.
Boniecki, P. & J. Weres. (2001). Neural networks as a tool in the analysis of agricultural engineering empirical systems. Journal of Research and Applications in Agricultural Engineering. 46. 73–76. 2 indexed citations
20.
Mueller, W., P. Boniecki, & J. Weres. (1998). The character of air flow in a rock bed thermal energy storage. 43. 44–47. 1 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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