Jan Písek

5.9k total citations
62 papers, 2.5k citations indexed

About

Jan Písek is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jan Písek has authored 62 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Ecology, 43 papers in Global and Planetary Change and 34 papers in Environmental Engineering. Recurrent topics in Jan Písek's work include Remote Sensing in Agriculture (53 papers), Remote Sensing and LiDAR Applications (32 papers) and Plant Water Relations and Carbon Dynamics (31 papers). Jan Písek is often cited by papers focused on Remote Sensing in Agriculture (53 papers), Remote Sensing and LiDAR Applications (32 papers) and Plant Water Relations and Carbon Dynamics (31 papers). Jan Písek collaborates with scholars based in Estonia, Canada and Finland. Jan Písek's co-authors include Jing M. Chen, Feng Deng, Oliver Sonnentag, Matti Mõttus, J.M. Chen, Krista Alikas, Mingzhen Chen, Stephen Plummer, Liming He and Jane Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Jan Písek

60 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Písek Estonia 28 1.9k 1.6k 1.2k 791 345 62 2.5k
Tiit Nilson Estonia 26 2.4k 1.2× 1.7k 1.1× 1.7k 1.4× 891 1.1× 597 1.7× 55 3.0k
J.M. Chen Canada 27 2.1k 1.1× 2.1k 1.3× 1.1k 0.9× 722 0.9× 360 1.0× 39 3.1k
Matti Mõttus Finland 30 2.0k 1.0× 1.4k 0.9× 1.1k 0.9× 809 1.0× 327 0.9× 88 2.6k
J. M. Welles United States 13 1.4k 0.7× 1.4k 0.9× 916 0.7× 1.1k 1.4× 566 1.6× 17 2.6k
William D. Ritts United States 16 1.3k 0.7× 1.7k 1.1× 549 0.4× 310 0.4× 328 1.0× 21 2.2k
Kamel Soudani France 25 2.3k 1.2× 1.8k 1.1× 952 0.8× 833 1.1× 471 1.4× 50 3.0k
Douglas K. Bolton Canada 20 1.4k 0.8× 923 0.6× 935 0.8× 308 0.4× 412 1.2× 30 2.0k
Valérie Le Dantec France 20 819 0.4× 1.3k 0.8× 483 0.4× 506 0.6× 419 1.2× 46 2.0k
Marie-Louise Smith United States 19 1.7k 0.9× 1.3k 0.8× 691 0.6× 641 0.8× 472 1.4× 28 2.7k
Lars L. Pierce United States 17 1.3k 0.7× 1.4k 0.9× 834 0.7× 491 0.6× 390 1.1× 24 2.2k

Countries citing papers authored by Jan Písek

Since Specialization
Citations

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

Fields of papers citing papers by Jan Písek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Písek

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Písek. A scholar is included among the top collaborators of Jan Písek 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 Jan Písek. Jan Písek 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.
Písek, Jan, et al.. (2024). On the relationship between shoot Silhouette area to Total needle Area Ratio (STAR) and contour length. Remote Sensing of Environment. 317. 114520–114520. 1 indexed citations
4.
Písek, Jan, et al.. (2023). Estimation of coniferous shoot structure by high precision blue light 3D photogrammetry scanning. Remote Sensing of Environment. 291. 113568–113568. 4 indexed citations
5.
Písek, Jan, et al.. (2020). Dataset of leaf inclination angles for 71 different Eucalyptus species. SHILAP Revista de lepidopterología. 33. 106391–106391. 18 indexed citations
6.
Lang, Mait & Jan Písek. (2019). Tracking the long-term structure changes of a mature deciduous broadleaf forest stand using digital hemispherical photography. Forestry Studies / Metsanduslikud Uurimused. 70(1). 80–87. 2 indexed citations
7.
Meerdink, Susan, Dar A. Roberts, Glynn Hulley, et al.. (2019). Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor. Remote Sensing of Environment. 224. 421–435. 28 indexed citations
8.
Rautiainen, Miina, Petr Lukeš, Lucie Homolová, et al.. (2018). Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory Measurements. Remote Sensing. 10(2). 207–207. 86 indexed citations
9.
Kuusk, Andres, Joel Kuusk, Mait Lang, et al.. (2018). Reflectance reference target at Järvselja, Estonia for the calibration of optical remote sensing sensors and lessons learned. International Journal of Applied Earth Observation and Geoinformation. 73. 191–196. 2 indexed citations
10.
Liu, Yang, Ronggao Liu, Jan Písek, & Jing M. Chen. (2017). Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data. Biogeosciences. 14(5). 1093–1110. 43 indexed citations
11.
Alikas, Krista, et al.. (2015). Satellite-based products for monitoring optically complex inland waters in support of EU Water Framework Directive. International Journal of Remote Sensing. 36(17). 4446–4468. 19 indexed citations
12.
Jiao, Tong, Ronggao Liu, Yang Liu, Jan Písek, & Jing M. Chen. (2014). Mapping global seasonal forest background reflectivity with Multi‐angle Imaging Spectroradiometer data. Journal of Geophysical Research Biogeosciences. 119(6). 1063–1077. 27 indexed citations
13.
Písek, Jan & A. J. Oliphant. (2012). A note on the height variation of foliage clumping: comparison with remote sensing retrievals. Remote Sensing Letters. 4(4). 400–408. 11 indexed citations
14.
He, Liming, Jing M. Chen, Jan Písek, Crystal Schaaf, & Alan H. Strahler. (2012). Global clumping index map derived from the MODIS BRDF product. Remote Sensing of Environment. 119. 118–130. 213 indexed citations
15.
Písek, Jan. (2011). The height and seasonal variation of foliage clumping: implications for the remote sensing retrievals. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
16.
Písek, Jan, Miina Rautiainen, Janne Heiskanen, & Matti Mõttus. (2011). Retrieval of seasonal dynamics of forest understory reflectance in a Northern European boreal forest from MODIS BRDF data. Remote Sensing of Environment. 117. 464–468. 35 indexed citations
18.
Písek, Jan, Jing M. Chen, Roselyne Lacaze, Oliver Sonnentag, & Krista Alikas. (2010). Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation. ISPRS Journal of Photogrammetry and Remote Sensing. 65(4). 341–346. 59 indexed citations
19.
Písek, Jan & Jing M. Chen. (2009). Mapping forest background reflectivity over North America with Multi-angle Imaging SpectroRadiometer (MISR) data. Remote Sensing of Environment. 113(11). 2412–2423. 60 indexed citations
20.
Deng, Feng, J.M. Chen, Stephen Plummer, Mingzhen Chen, & Jan Písek. (2006). Algorithm for global leaf area index retrieval using satellite imagery. IEEE Transactions on Geoscience and Remote Sensing. 44(8). 2219–2229. 255 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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