Eija Hyvönen

541 total citations
23 papers, 369 citations indexed

About

Eija Hyvönen is a scholar working on Atmospheric Science, Management, Monitoring, Policy and Law and Geophysics. According to data from OpenAlex, Eija Hyvönen has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 8 papers in Management, Monitoring, Policy and Law and 7 papers in Geophysics. Recurrent topics in Eija Hyvönen's work include Geology and Paleoclimatology Research (8 papers), Landslides and related hazards (8 papers) and Climate change and permafrost (7 papers). Eija Hyvönen is often cited by papers focused on Geology and Paleoclimatology Research (8 papers), Landslides and related hazards (8 papers) and Climate change and permafrost (7 papers). Eija Hyvönen collaborates with scholars based in Finland, France and Australia. Eija Hyvönen's co-authors include Raimo Sutinen, Maarit Middleton, Marja‐Liisa Sutinen, Timo Ruskeeniemi, Ilmo Kukkonen, Paavo Nevalainen, Jukka Heikkonen, Paul Treitz, Meri‐Liisa Airo and Alexandros Stampolidis and has published in prestigious journals such as Remote Sensing of Environment, Plant and Soil and Geomorphology.

In The Last Decade

Eija Hyvönen

22 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eija Hyvönen Finland 14 179 104 88 59 58 23 369
Ci‐Jian Yang Taiwan 11 145 0.8× 90 0.9× 106 1.2× 48 0.8× 39 0.7× 29 324
Lichao Liu China 8 219 1.2× 46 0.4× 41 0.5× 73 1.2× 97 1.7× 22 361
Stuart Grieve United Kingdom 11 202 1.1× 154 1.5× 53 0.6× 178 3.0× 75 1.3× 24 488
Simon Carrière France 10 73 0.4× 28 0.3× 76 0.9× 26 0.4× 137 2.4× 25 308
Latipa Tuerhanjiang China 5 49 0.3× 71 0.7× 33 0.4× 124 2.1× 190 3.3× 6 334
B. G. Mousa Egypt 10 82 0.5× 54 0.5× 23 0.3× 117 2.0× 228 3.9× 18 414
Katie Jones New Zealand 8 113 0.6× 169 1.6× 191 2.2× 59 1.0× 56 1.0× 16 403
Jack McConchie New Zealand 9 51 0.3× 77 0.7× 144 1.6× 36 0.6× 58 1.0× 22 390
Éric Hallot Belgium 13 78 0.4× 51 0.5× 32 0.4× 225 3.8× 109 1.9× 51 400
María Yanina Esper Angillieri Argentina 13 204 1.1× 191 1.8× 50 0.6× 71 1.2× 185 3.2× 38 509

Countries citing papers authored by Eija Hyvönen

Since Specialization
Citations

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

Fields of papers citing papers by Eija Hyvönen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eija Hyvönen

This figure shows the co-authorship network connecting the top 25 collaborators of Eija Hyvönen. A scholar is included among the top collaborators of Eija Hyvönen 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 Eija Hyvönen. Eija Hyvönen 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.
Thomas, Robert James, Steven D. Boger, Olivier Blein, et al.. (2025). Precambrian crustal architecture of Malawi: a keystone in SE Africa. Journal of African Earth Sciences. 233. 105857–105857.
2.
Loukola-Ruskeeniemi, Kirsti, et al.. (2022). Country-wide exploration for graphite- and sulphide-rich black shales with airborne geophysics and petrophysical and geochemical studies. Journal of Geochemical Exploration. 244. 107123–107123. 6 indexed citations
3.
Middleton, Maarit, Jukka Heikkonen, Paavo Nevalainen, Eija Hyvönen, & Raimo Sutinen. (2020). Machine learning-based mapping of micro-topographic earthquake-induced paleo-Pulju moraines and liquefaction spreads from a digital elevation model acquired through laser scanning. Geomorphology. 358. 107099–107099. 13 indexed citations
4.
Middleton, Maarit, Paavo Nevalainen, Eija Hyvönen, Jukka Heikkonen, & Raimo Sutinen. (2020). Pattern recognition of LiDAR data and sediment anisotropy advocate a polygenetic subglacial mass-flow origin for the Kemijärvi hummocky moraine field in northern Finland. Geomorphology. 362. 107212–107212. 10 indexed citations
5.
Sutinen, Raimo, Eija Hyvönen, Maarit Middleton, et al.. (2018). Electrical-sedimentary anisotropy of landforms adjacent to postglacial faults in Lapland. Geomorphology. 326. 213–224. 11 indexed citations
6.
Sutinen, Raimo, Eija Hyvönen, Maarit Middleton, & Meri‐Liisa Airo. (2017). Earthquake-induced deformations on ice-stream landforms in Kuusamo, eastern Finnish Lapland. Global and Planetary Change. 160. 46–60. 15 indexed citations
7.
8.
Pohjankukka, Jonne, Henri Riihimäki, Paavo Nevalainen, et al.. (2016). Predictability of boreal forest soil bearing capacity by machine learning. Journal of Terramechanics. 68. 1–8. 21 indexed citations
9.
Ala‐Ilomäki, Jari, Juval Cohen, Eija Hyvönen, et al.. (2015). New computational methods for efficient utilisation of public data. Jukuri (Natural Resources Institute Finland (Luke)). 3 indexed citations
10.
Sutinen, Raimo, Eija Hyvönen, Maarit Middleton, & Timo Ruskeeniemi. (2014). Airborne LiDAR detection of postglacial faults and Pulju moraine in Palojärvi, Finnish Lapland. Global and Planetary Change. 115. 24–32. 45 indexed citations
11.
Sutinen, Raimo, Eija Hyvönen, & Ilmo Kukkonen. (2013). LiDAR detection of paleolandslides in the vicinity of the Suasselkä postglacial fault, Finnish Lapland. International Journal of Applied Earth Observation and Geoinformation. 27. 91–99. 36 indexed citations
12.
Middleton, Maarit, et al.. (2010). Central boreal mire plant communities along soil nutrient potential and water content gradients. Plant and Soil. 331(1-2). 257–264. 13 indexed citations
13.
Sutinen, Raimo, et al.. (2010). Sedimentary anisotropy diverges from flute trends in south-east Finnish Lapland. Sedimentary Geology. 232(3-4). 190–197. 13 indexed citations
14.
Middleton, Maarit, et al.. (2010). Importance of soil calcium for composition of understory vegetation in boreal forests of Finnish Lapland. Biogeochemistry. 102(1-3). 239–249. 20 indexed citations
15.
Sutinen, Raimo, et al.. (2009). Sediment anisotropy coincides with moraine ridge trend in south‐central Finnish Lapland. Boreas. 38(3). 638–646. 17 indexed citations
16.
Sutinen, Raimo, et al.. (2007). Geological controls on conifer distributions and their implications for forest management in Finnish Lapland. Scandinavian Journal of Forest Research. 22(6). 476–487. 15 indexed citations
17.
Sutinen, Raimo, et al.. (2005). Soil-Driven Timberline of Spruce (Picea abies) in Tanaelv Belt–Lapland Granulite Transition, Finland. Arctic Antarctic and Alpine Research. 37(4). 611–619. 21 indexed citations
18.
Hyvönen, Eija, et al.. (2003). Assessing site suitability for Scots pine using airborne and terrestrial gamma-ray measurements in Finnish Lapland. Canadian Journal of Forest Research. 33(5). 796–806. 25 indexed citations
19.
20.
Sutinen, Raimo, et al.. (1994). Soil classification using dielectric and gamma-ray moisture detection: Potential aid for forest regeneration. Jukuri (Natural Resources Institute Finland (Luke)). 3 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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