J. Pająk

62 papers receiving 493 citations

Peers

J. Pająk
Comparison fields: 5 of 87
  • Fuel Technology 58
  • Agronomy and Crop Science 150
  • Animal Science and Zoology 78
  • Geochemistry and Petrology 23
  • Analytical Chemistry 37
Replace J G Mathieson with:
J G Mathieson Australia
Yixin Zhang China
Tong Lv China
Lance G. Phillips United States
Frédéric Mabille France
Ali Sepehri Iran
L. W. Phipps United Kingdom
S.D. Deshpande India
Soo‐Jeong Shin South Korea
Peter G. Wiles New Zealand
J. Pająk relative to J G Mathieson Australia J G Mathieson's profile →
Citations per field
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J G Mathieson · 1×
Citations per year

Countries citing papers authored by J. Pająk

Since Specialization
Citations

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

Fields of papers citing papers by J. Pająk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Pająk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Pająk Line = papers co-authored together J. Pająk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200160
2
Population of ciliates, rumen fermentation indicators and biochemical parameters of blood serum in heifers fed diets supplemented with yeast (Saccharomyces cerevisiae) preparation
201236
3 199535
4 199535
5 201527
6 199727
7 200320
8 200419
9 200915
10 198415
11 200414
12 198514
13 198513
14 201613
15 201112
16 199611
17 201410
18 20059
19 19889
20 19839

About J. Pająk

J. Pająk is a scholar working on Agronomy and Crop Science, Materials Chemistry, Plant Science, Fuel Technology and Mechanical Engineering, having authored 64 papers that have together received 530 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (18 papers), Coal and Coke Industries Research (11 papers), Genetic and phenotypic traits in livestock (9 papers), Meat and Animal Product Quality (6 papers), Thermochemical Biomass Conversion Processes (5 papers), Metal Forming Simulation Techniques (5 papers), Nutrition and Health Studies (4 papers) and Coal Properties and Utilization (4 papers). The work is most often cited by research in Fuel Technology (58 citations), Agronomy and Crop Science (150 citations), Animal Science and Zoology (78 citations), Geochemistry and Petrology (23 citations) and Analytical Chemistry (37 citations). J. Pająk has collaborated with scholars based in Poland, France and Slovakia. Frequent co-authors include B. Kowalik, K. R. Brower, D. Cagniant, R. Grüber, J. Skomiał, Tadeusz Michałowski, G. Bełżecki, G. Furdin, M. Taciak and Teresa Żebrowska. Their work appears in journals such as Fuel Processing Technology, Fuel, Mathematics and Mechanics of Solids, Journal of Animal and Feed Sciences and Animal Feed Science and Technology.

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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