Tuomas Häme

2.3k total citations
82 papers, 1.8k citations indexed

About

Tuomas Häme is a scholar working on Environmental Engineering, Ecology and Aerospace Engineering. According to data from OpenAlex, Tuomas Häme has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Environmental Engineering, 41 papers in Ecology and 25 papers in Aerospace Engineering. Recurrent topics in Tuomas Häme's work include Remote Sensing and LiDAR Applications (45 papers), Remote Sensing in Agriculture (40 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (22 papers). Tuomas Häme is often cited by papers focused on Remote Sensing and LiDAR Applications (45 papers), Remote Sensing in Agriculture (40 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (22 papers). Tuomas Häme collaborates with scholars based in Finland, United States and Italy. Tuomas Häme's co-authors include Yrjö Rauste, Oleg Antropov, Matthieu Molinier, Jorma Kilpi, Laura Sirro, Heikki Astola, Jesús San Miguel-Ayanz, Pauline Stenberg, Jaan Praks and M. Hallikainen 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

Tuomas Häme

80 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tuomas Häme Finland	23	1.1k	1.0k	574	372	323	82	1.8k
Stéphane Mermoz France	21	1.1k 1.1×	1.2k 1.2×	719 1.3×	266 0.7×	309 1.0×	46	2.0k
Alexandre Bouvet France	20	1.1k 1.0×	1.3k 1.2×	761 1.3×	399 1.1×	199 0.6×	48	2.2k
Erxue Chen China	20	913 0.8×	821 0.8×	363 0.6×	258 0.7×	354 1.1×	134	1.4k
Dominique Guyon France	26	1.3k 1.2×	927 0.9×	631 1.1×	525 1.4×	421 1.3×	44	2.1k
Johannes Reiche Netherlands	21	1.2k 1.1×	1.4k 1.4×	1.1k 2.0×	298 0.8×	190 0.6×	52	2.5k
Takeshi Motohka Japan	20	637 0.6×	832 0.8×	513 0.9×	389 1.0×	130 0.4×	88	1.5k
Luke Wallace Australia	22	2.3k 2.1×	1.3k 1.2×	765 1.3×	413 1.1×	536 1.7×	54	3.2k
Baoxin Hu Canada	23	1.4k 1.3×	1.5k 1.5×	752 1.3×	177 0.5×	420 1.3×	106	2.5k
D.H. Hoekman Netherlands	27	1.4k 1.3×	915 0.9×	589 1.0×	855 2.3×	155 0.5×	115	2.2k
Jan van Aardt United States	23	1.1k 1.0×	1.2k 1.2×	442 0.8×	127 0.3×	414 1.3×	107	2.1k

Countries citing papers authored by Tuomas Häme

Since Specialization

Citations

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

Fields of papers citing papers by Tuomas Häme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuomas Häme

This figure shows the co-authorship network connecting the top 25 collaborators of Tuomas Häme. A scholar is included among the top collaborators of Tuomas Häme 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 Tuomas Häme. Tuomas Häme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Minunno, Francesco, et al.. (2025). Data assimilation of forest status using Sentinel-2 data and a process-based model. Agricultural and Forest Meteorology. 363. 110436–110436. 1 indexed citations

Häme, Tuomas, Heikki Astola, Jorma Kilpi, et al.. (2023). Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery. Remote Sensing. 15(12). 3029–3029. 1 indexed citations

Antropov, Oleg, et al.. (2023). Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images. Remote Sensing. 15(21). 5152–5152. 6 indexed citations

Antropov, Oleg, Jukka Miettinen, Tuomas Häme, et al.. (2022). Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5777–5780. 2 indexed citations

Antropov, Oleg, Yrjö Rauste, Jaan Praks, F. Seifert, & Tuomas Häme. (2021). Mapping Forest Disturbance Due to Selective Logging in the Congo Basin with RADARSAT-2 Time Series. Remote Sensing. 13(4). 740–740. 11 indexed citations

Häme, Tuomas, et al.. (2020). A Hierarchical Clustering Method for Land Cover Change Detection and Identification. Remote Sensing. 12(11). 1751–1751. 13 indexed citations

Astola, Heikki, Tuomas Häme, Laura Sirro, Matthieu Molinier, & Jorma Kilpi. (2019). Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region. Remote Sensing of Environment. 223. 257–273. 188 indexed citations

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

Molinier, Matthieu, et al.. (2016). Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping. Remote Sensing. 8(10). 869–869. 36 indexed citations

10.

Antropov, Oleg, Yrjö Rauste, Anne Lönnqvist, & Tuomas Häme. (2012). PolSAR Mosaic Normalization for Improved Land-Cover Mapping. IEEE Geoscience and Remote Sensing Letters. 9(6). 1074–1078. 14 indexed citations

11.

Antropov, Oleg, Yrjö Rauste, & Tuomas Häme. (2011). Volume Scattering Modeling in PolSAR Decompositions: Study of ALOS PALSAR Data Over Boreal Forest. IEEE Transactions on Geoscience and Remote Sensing. 49(10). 3838–3848. 93 indexed citations

12.

Rauste, Yrjö, et al.. (2007). Detection of forest changes over French Guiana using ERS-1 and ASAR iamgery. 4 indexed citations

13.

Rauste, Yrjö, et al.. (2007). Automatic monitoring of autumn colours using MODIS data. 47. 1295–1298. 6 indexed citations

14.

Rauste, Yrjö, et al.. (2005). Use of SAR Data for Natural Disaster Mitigation in the Mobile Environment. ESASP. 572. 4 indexed citations

15.

Häme, Tuomas, et al.. (2005). Using ERS 1 and ASAR imagery for mapping forest in French Guiana. 441–446. 3 indexed citations

16.

Astola, Heikki, et al.. (2003). HIGHFOREST - FOREST PARAMETER ESTIMATION FROM HIGH RESOLUTION REMOTE SENSING DATA. 335–341. 5 indexed citations

17.

Manninen, Terhikki, Pauline Stenberg, Pekka Voipio, Heikki Smolander, & Tuomas Häme. (2002). LAI-estimation of boreal forests using C-band VV and HH polarization radar images. ESASP. 475. 359–364. 3 indexed citations

18.

Volden, Espen, Marcelo Cataldo, Tuomas Häme, et al.. (2002). Towards operational forestry tools for Kyoto Protocol reporting. 1 indexed citations

19.

Häme, Tuomas, et al.. (1988). Shuttered camera - Aerial color video imaging in the visible and near infrared. Photogrammetric Engineering & Remote Sensing. 54. 1735. 5 indexed citations

20.

Häme, Tuomas. (1984). Landsat-aided forest site type mapping. Photogrammetric Engineering & Remote Sensing. 50(8). 1175–1183. 15 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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