Marcin Kozak

2.6k total citations · 1 hit paper
147 papers, 1.8k citations indexed

About

Marcin Kozak is a scholar working on Plant Science, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Marcin Kozak has authored 147 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 29 papers in Statistics and Probability and 21 papers in Artificial Intelligence. Recurrent topics in Marcin Kozak's work include Genetics and Plant Breeding (23 papers), Insect-Plant Interactions and Control (15 papers) and Data Visualization and Analytics (10 papers). Marcin Kozak is often cited by papers focused on Genetics and Plant Breeding (23 papers), Insect-Plant Interactions and Control (15 papers) and Data Visualization and Analytics (10 papers). Marcin Kozak collaborates with scholars based in Poland, United Kingdom and India. Marcin Kozak's co-authors include Hans‐Peter Piepho, Lutz Bornmann, James Hartley, Mariusz Lewandowski, Ricardo Antunes Azevedo, Loet Leydesdorff, Housila P. Singh, Christine H. Scaman, Manjit S. Kang and Jan Bocianowski and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nutrients.

In The Last Decade

Marcin Kozak

139 papers receiving 1.7k citations

Hit Papers

What's normal anyway? Residual plots are more telling tha... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Kozak Poland 23 640 229 177 171 159 147 1.8k
D. A. Preece United Kingdom 19 818 1.3× 159 0.7× 118 0.7× 121 0.7× 244 1.5× 87 2.2k
Kevin McConway United Kingdom 23 338 0.5× 165 0.7× 576 3.3× 59 0.3× 58 0.4× 52 2.2k
John E. Boyer United States 19 415 0.6× 130 0.6× 123 0.7× 130 0.8× 373 2.3× 44 1.3k
Russ Wolfinger United States 19 429 0.7× 705 3.1× 139 0.8× 79 0.5× 257 1.6× 40 3.1k
Marcia L. Gumpertz United States 26 846 1.3× 139 0.6× 146 0.8× 61 0.4× 160 1.0× 67 2.2k
Snigdhansu Chatterjee United States 16 340 0.5× 211 0.9× 237 1.3× 19 0.1× 73 0.5× 62 1.4k
M. S. Ridout United Kingdom 31 716 1.1× 781 3.4× 521 2.9× 137 0.8× 165 1.0× 119 4.4k
Kenneth J. Koehler United States 31 425 0.7× 491 2.1× 103 0.6× 122 0.7× 542 3.4× 82 3.8k
Steven J. Schwager United States 24 176 0.3× 95 0.4× 417 2.4× 63 0.4× 146 0.9× 63 3.2k
Clarice Garcia Borges Demétrio Brazil 26 873 1.4× 1.0k 4.4× 146 0.8× 632 3.7× 362 2.3× 144 3.3k

Countries citing papers authored by Marcin Kozak

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Kozak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Kozak

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Kozak. A scholar is included among the top collaborators of Marcin Kozak 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 Marcin Kozak. Marcin Kozak 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.
Saeidnia, Hamid Reza, et al.. (2025). Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice. Artificial Intelligence Review. 58(4). 8 indexed citations
3.
Saeidnia, Hamid Reza, et al.. (2023). Design, Development, Implementation, and Evaluation of a Mobile Application for Academic Library Services. Information Technology and Libraries. 42(3). 3 indexed citations
4.
Saeidnia, Hamid Reza, Marcin Kozak, Marcel Ausloos, et al.. (2022). Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study. JMIR Formative Research. 6(9). e39718–e39718. 21 indexed citations
5.
Carvalho, Marcia Eugenia Amaral, Paulo R. C. Castro, Marcin Kozak, & Ricardo Antunes Azevedo. (2020). The sweet side of misbalanced nutrients in cadmium‐stressed plants. Annals of Applied Biology. 176(3). 275–284. 27 indexed citations
6.
Kozak, Marcin, et al.. (2019). Academic science writing: an inconsiderate genre?. 45(3). 3 indexed citations
7.
Gruss, Iwona, et al.. (2018). Effet de la culture intercalaire de lupin à feuilles étroites et de triticale de printemps sur l'abondance et la diversité des staphylins. BASE. 22(4). 220–229. 2 indexed citations
8.
Kucharczyk, Halina, et al.. (2014). Thrips (Thysanoptera) associated with narrow-leafed lupin (Lupinus angustifolius L., 1753) intercropped with spring triticale (× Triticosecale Wittm. ex A. Camus, 1927).. Romanian Agricultural Research. 337–345. 8 indexed citations
9.
Deka, B. C., et al.. (2013). Antioxidant phytochemicals and curcuminodes content in different genotypes of turmeric (Curcuma longa). The Indian Journal of Agricultural Sciences. 83(4). 2 indexed citations
10.
Lewandowski, Mariusz, et al.. (2012). Biology and morphometry of Megaselia halterata, an important insect pest of mushrooms. Bulletin of insectology. 65(1). 1–8. 5 indexed citations
11.
Kozak, Marcin. (2010). Comparison of three types of G × E performance plot for showing and interpreting genotypes’ stability and adaptability. International Journal of Plant Production. 4(4). 293–301. 3 indexed citations
12.
Kozak, Marcin, et al.. (2010). Visualizing bivariate relationships with hexagonally binned data. 40. 1 indexed citations
13.
Singh, Sarjinder, Housila P. Singh, Rajesh Tailor, Jack Allen, & Marcin Kozak. (2009). Estimation of Ratio of Two Finite-Population Means in the Presence of Non Response. Communication in Statistics- Theory and Methods. 38(19). 3608–3621. 4 indexed citations
14.
Kozak, Marcin. (2009). Analyzing one-way experiments: a piece of cake of a pain in the neck?. Scientia Agricola. 66(4). 556–562. 21 indexed citations
15.
Kozak, Marcin & Paweł Jankowski. (2008). Allocation Constraints in Stratification. Communications in Statistics - Simulation and Computation. 37(9). 1763–1775. 1 indexed citations
16.
Szeleszczuk, P., et al.. (2008). OCCURRENCE OF MYCOBACTERIUM IN THE FAECES OF PARROTS KEPT IN ZOOLOGICAL GARDENS AND PRIVATE AVIARIES IN POLAND. Bulletin of the Veterinary Institute in Pulawy. 52(3). 6 indexed citations
17.
Kozak, Marcin & Andrzej Zieliński. (2007). Comparison of Efficiency of Stratified and Unequal Probability Sampling. Communications in Statistics - Simulation and Computation. 36(4). 807–816. 5 indexed citations
18.
Kozak, Marcin, et al.. (2007). Applying statistics for nonsequential yield component analysis - Information. Plant Soil and Environment. 53(10). 456–463. 2 indexed citations
19.
Kozak, Marcin, et al.. (2005). Sample Allocation Between Domains and Strata. International Journal of Applied Mathematics & Statistics. 3. 19–40. 6 indexed citations
20.
Kozak, Marcin. (2004). Method of multivariate sample allocation in agricultural surveys. 34. 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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