Jaan Praks

3.4k total citations · 1 hit paper
175 papers, 2.3k citations indexed

About

Jaan Praks is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Jaan Praks has authored 175 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Aerospace Engineering, 63 papers in Environmental Engineering and 50 papers in Atmospheric Science. Recurrent topics in Jaan Praks's work include Synthetic Aperture Radar (SAR) Applications and Techniques (52 papers), Cryospheric studies and observations (44 papers) and Soil Moisture and Remote Sensing (35 papers). Jaan Praks is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (52 papers), Cryospheric studies and observations (44 papers) and Soil Moisture and Remote Sensing (35 papers). Jaan Praks collaborates with scholars based in Finland, Estonia and Germany. Jaan Praks's co-authors include Oleg Antropov, M. Hallikainen, Kaupo Voormansik, V. Poikalainen, I. Veermäe, Karlis Zalite, Tiit Kutser, Ele Vahtmäe, Yrjö Rauste and Elena Simona Lohan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jaan Praks

161 papers receiving 2.1k citations

Hit Papers

Position, Navigation, and... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaan Praks Finland 27 1.1k 811 469 423 242 175 2.3k
Luciano Vieira Dutra Brazil 22 431 0.4× 586 0.7× 295 0.6× 691 1.6× 408 1.7× 124 1.7k
Anup Das India 19 338 0.3× 373 0.5× 153 0.3× 205 0.5× 98 0.4× 90 1.1k
Chao Chen China 22 73 0.1× 284 0.4× 362 0.8× 453 1.1× 707 2.9× 124 1.6k
Peijun Li China 29 87 0.1× 445 0.5× 618 1.3× 655 1.5× 513 2.1× 198 2.6k
J. R. Carr United States 16 59 0.1× 686 0.8× 132 0.3× 203 0.5× 180 0.7× 44 1.8k
Eugene Yee Canada 31 623 0.6× 2.1k 2.6× 649 1.4× 84 0.2× 617 2.5× 157 3.6k
Jean‐Stéphane Bailly France 30 64 0.1× 1.1k 1.4× 145 0.3× 956 2.3× 694 2.9× 91 2.2k
Cheng Hu China 27 2.1k 2.0× 340 0.4× 245 0.5× 240 0.6× 68 0.3× 291 3.0k
S. Pal Arya United States 29 384 0.4× 1.6k 2.0× 1.6k 3.3× 151 0.4× 1.0k 4.1× 92 3.1k
Frieke Van Coillie Belgium 17 47 0.0× 799 1.0× 517 1.1× 802 1.9× 808 3.3× 47 2.3k

Countries citing papers authored by Jaan Praks

Since Specialization
Citations

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

Fields of papers citing papers by Jaan Praks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaan Praks

This figure shows the co-authorship network connecting the top 25 collaborators of Jaan Praks. A scholar is included among the top collaborators of Jaan Praks 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 Jaan Praks. Jaan Praks 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
2.
Sharma, Mayank, Fabricio S. Prol, Elena Simona Lohan, et al.. (2025). LEO-PNT Feasibility Aspects: Satellite Navigation Payload Size, Weight, and Power Analysis. IEEE Access. 13. 110069–110089.
3.
Darvishsefat, Ali Asghar, et al.. (2024). Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 8409–8423. 1 indexed citations
4.
Prol, Fabricio S., M. Zahidul H. Bhuiyan, Sanna Kaasalainen, et al.. (2024). Simulations of Dedicated LEO-PNT Systems for Precise Point Positioning: Methodology, Parameter Analysis, and Accuracy Evaluation. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 6499–6516. 13 indexed citations
5.
Tomppo, Erkki, Yrjö Rauste, Ronald E. McRoberts, et al.. (2023). Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection. Remote Sensing. 15(14). 3489–3489. 6 indexed citations
6.
Prol, Fabricio S., Sanna Kaasalainen, Elena Simona Lohan, et al.. (2023). Simulations using LEO-PNT systems: A Brief Survey. Trepo - Institutional Repository of Tampere University. 381–387. 9 indexed citations
7.
Praks, Jaan, Petri T. Niemelä, Rami Vainio, et al.. (2023). Foresail - CubeSat platform and missions to higher orbits. 1–4. 2 indexed citations
8.
Su, Weimin, et al.. (2022). Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series. Remote Sensing. 14(21). 5560–5560. 7 indexed citations
9.
Prol, Fabricio S., Rubén Morales Ferré, Petri Välisuo, et al.. (2022). Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities. IEEE Access. 10. 83971–84002. 133 indexed citations breakdown →
10.
Tomppo, Erkki, et al.. (2021). Detection of Forest Windstorm Damages with Multitemporal SAR Data—A Case Study: Finland. Remote Sensing. 13(3). 383–383. 16 indexed citations
11.
Lemmetyinen, Juha, J. Lahtinen, Anna Kontu, et al.. (2020). SodSAR: A Tower-Based 1–10 GHz SAR System for Snow, Soil and Vegetation Studies. Sensors. 20(22). 6702–6702. 6 indexed citations
12.
Marbouti, Marjan, Oleg Antropov, Jaan Praks, et al.. (2020). TanDEM-X multiparametric data features in sea ice classification over the Baltic sea. Geo-spatial Information Science. 24(2). 313–332. 6 indexed citations
13.
Tomppo, Erkki, Oleg Antropov, & Jaan Praks. (2019). Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1 Data. Remote Sensing. 11(4). 384–384. 22 indexed citations
14.
Marbouti, Marjan, Jaan Praks, Oleg Antropov, Eero Rinne, & Matti Leppäranta. (2017). A Study of Landfast Ice with Sentinel-1 Repeat-Pass Interferometry over the Baltic Sea. Remote Sensing. 9(8). 833–833. 27 indexed citations
15.
Antropov, Oleg, Yrjö Rauste, Tuomas Häme, & Jaan Praks. (2017). Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests. Remote Sensing. 9(10). 999–999. 54 indexed citations
16.
Kestilä, Antti, Tuomas Tikka, Antti Näsilä, et al.. (2013). Aalto-1 nanosatellite – technical description and mission objectives. SHILAP Revista de lepidopterología. 2(1). 121–130. 47 indexed citations
17.
Kokin, E., Jaan Praks, V. Poikalainen, et al.. (2012). Energy consumption in animal production - case farm study. Agronomy Research. 10. 39–48. 26 indexed citations
18.
Poikalainen, V., Jaan Praks, E. Kokin, et al.. (2010). Elaboration of basic methods for automatic analysis of cows' gait.. Agronomy Research. 8. 216–225. 7 indexed citations
19.
Colin, Élise, et al.. (2010). A review about alternatives to classical Polarimetric SAR parameters. 1–4. 3 indexed citations
20.
Praks, Jaan & M. Hallikainen. (2005). Combining High Resolution and Low resolution Information in Synoptic representation of Fully Polarimetric SAR Images. ESA Special Publication. 586. 59. 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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