Mikolaj Cieslak

1.1k total citations
29 papers, 671 citations indexed

About

Mikolaj Cieslak is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mikolaj Cieslak has authored 29 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 8 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mikolaj Cieslak's work include Greenhouse Technology and Climate Control (10 papers), Plant Molecular Biology Research (8 papers) and Leaf Properties and Growth Measurement (5 papers). Mikolaj Cieslak is often cited by papers focused on Greenhouse Technology and Climate Control (10 papers), Plant Molecular Biology Research (8 papers) and Leaf Properties and Growth Measurement (5 papers). Mikolaj Cieslak collaborates with scholars based in Canada, France and Australia. Mikolaj Cieslak's co-authors include Przemysław Prusinkiewicz, Jordan Ubbens, Ian Stavness, Jim Hanan, Alla N. Seleznyova, Andrew Owens, Christiane Lemieux, Adam Runions, Robert W. Pearcy and Frank J. Sterck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and New Phytologist.

In The Last Decade

Mikolaj Cieslak

28 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikolaj Cieslak Canada 13 498 170 103 84 56 29 671
Olga Symonova Austria 6 733 1.5× 106 0.6× 91 0.9× 31 0.4× 45 0.8× 14 866
Ralf Metzner Germany 8 516 1.0× 67 0.4× 45 0.4× 52 0.6× 17 0.3× 19 688
Yanjun Zhang China 16 701 1.4× 94 0.6× 141 1.4× 79 0.9× 65 1.2× 62 896
Peter E. H. Minchin New Zealand 17 914 1.8× 217 1.3× 51 0.5× 235 2.8× 147 2.6× 35 1.1k
Frank Gilmer Germany 7 718 1.4× 181 1.1× 189 1.8× 59 0.7× 37 0.7× 8 822
Philippe Hamard France 5 665 1.3× 113 0.7× 128 1.2× 132 1.6× 28 0.5× 5 955
Songnan Yang United States 19 407 0.8× 119 0.7× 66 0.6× 20 0.2× 33 0.6× 67 1.5k
Frank Enjalric France 10 178 0.4× 129 0.8× 48 0.5× 31 0.4× 41 0.7× 21 355
Shenghao Gu China 12 574 1.2× 71 0.4× 212 2.1× 50 0.6× 20 0.4× 35 793
Pieter Badenhorst Australia 14 362 0.7× 154 0.9× 130 1.3× 33 0.4× 28 0.5× 24 560

Countries citing papers authored by Mikolaj Cieslak

Since Specialization
Citations

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

Fields of papers citing papers by Mikolaj Cieslak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikolaj Cieslak

This figure shows the co-authorship network connecting the top 25 collaborators of Mikolaj Cieslak. A scholar is included among the top collaborators of Mikolaj Cieslak 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 Mikolaj Cieslak. Mikolaj Cieslak 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.
Owens, Andrew, Teng Zhang, Jarvis Stobbs, et al.. (2024). The hidden diversity of vascular patterns in flower heads. New Phytologist. 243(1). 423–439. 2 indexed citations
2.
Cieslak, Mikolaj, Teng Zhang, Katarzyna Kuligowska, et al.. (2023). Diversity of woodland strawberry inflorescences arises from heterochrony regulated by TERMINAL FLOWER 1 and FLOWERING LOCUS T. The Plant Cell. 35(6). 2079–2094. 7 indexed citations
3.
Zhang, Teng, Mikolaj Cieslak, Andrew Owens, et al.. (2021). Phyllotactic patterning of gerbera flower heads. Proceedings of the National Academy of Sciences. 118(13). 34 indexed citations
4.
Cieslak, Mikolaj, Andrew Owens, & Przemysław Prusinkiewicz. (2021). Computational Models of Auxin-Driven Patterning in Shoots. Cold Spring Harbor Perspectives in Biology. 14(3). a040097–a040097. 15 indexed citations
5.
Owens, Andrew, et al.. (2021). Modeling flower pigmentation patterns. ACM Transactions on Graphics. 40(6). 1–14. 11 indexed citations
6.
Ubbens, Jordan, Mikolaj Cieslak, Przemysław Prusinkiewicz, et al.. (2020). Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies. Plant Phenomics. 2020. 5801869–5801869. 29 indexed citations
7.
Cieslak, Mikolaj & Przemysław Prusinkiewicz. (2019). Gillespie-Lindenmayer systems for stochastic simulation of morphogenesis. 1(1). 4 indexed citations
8.
López, G., et al.. (2018). Simulation of tree growth for three almond cultivars with contrasting architecture with the L-ALMOND model. Acta Horticulturae. 29–36. 3 indexed citations
9.
Ubbens, Jordan, Mikolaj Cieslak, Przemysław Prusinkiewicz, & Ian Stavness. (2018). The use of plant models in deep learning: an application to leaf counting in rosette plants. Plant Methods. 14(1). 6–6. 178 indexed citations
10.
Cieslak, Mikolaj, Ibrahim Cheddadi, Frédéric Boudon, et al.. (2016). Integrating Physiology and Architecture in Models of Fruit Expansion. Frontiers in Plant Science. 7. 1739–1739. 22 indexed citations
11.
Cieslak, Mikolaj, Adam Runions, & Przemysław Prusinkiewicz. (2015). Auxin-driven patterning with unidirectional fluxes. Journal of Experimental Botany. 66(16). 5083–5102. 42 indexed citations
12.
Perrier, Marine, Nadia Bertin, Joulia Larionova≠, et al.. (2014). In vivo quantitative NMR imaging of fruit tissues during growth using Spoiled Gradient Echo sequence. Magnetic Resonance Imaging. 32(10). 1418–1427. 10 indexed citations
13.
Sterck, Frank J., Remko A. Duursma, Robert W. Pearcy, et al.. (2013). Plasticity influencing the light compensation point offsets the specialization for light niches across shrub species in a tropical forest understorey. Journal of Ecology. 101(4). 971–980. 46 indexed citations
14.
Cieslak, Mikolaj, Alla N. Seleznyova, Przemysław Prusinkiewicz, & Jim Hanan. (2011). Towards aspect-oriented functional–structural plant modelling. Annals of Botany. 108(6). 1025–1041. 35 indexed citations
15.
Cieslak, Mikolaj, Alla N. Seleznyova, & Jim Hanan. (2010). A functional–structural kiwifruit vine model integrating architecture, carbon dynamics and effects of the environment. Annals of Botany. 107(5). 747–764. 61 indexed citations
16.
Cieslak, Mikolaj, Alla N. Seleznyova, & Jim Hanan. (2009). A Functional-Structural Kiwifruit Vine Model. 206–213. 7 indexed citations
17.
Spicher, Antoine, Olivier Michel, Mikolaj Cieslak, Jean‐Louis Giavitto, & Przemysław Prusinkiewicz. (2007). Stochastic P systems and the simulation of biochemical processes with dynamic compartments. Biosystems. 91(3). 458–472. 25 indexed citations
18.
Cieslak, Mikolaj. (2006). Stochastic simulation of pattern formation: an application of l-systems. PRISM (University of Calgary). 1 indexed citations
19.
Lemieux, Christiane, et al.. (2002). RandQMC USER'S GUIDE. PRISM (University of Calgary). 1 indexed citations
20.
Cieslak, Mikolaj. (1992). Breeding bird communities on forest edge and interior. Ekologia Polska. 40(3). 461–475. 7 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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