Eero Rinne

1.5k total citations
35 papers, 543 citations indexed

About

Eero Rinne is a scholar working on Atmospheric Science, Environmental Chemistry and Oceanography. According to data from OpenAlex, Eero Rinne has authored 35 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 5 papers in Environmental Chemistry and 4 papers in Oceanography. Recurrent topics in Eero Rinne's work include Arctic and Antarctic ice dynamics (34 papers), Cryospheric studies and observations (30 papers) and Climate change and permafrost (23 papers). Eero Rinne is often cited by papers focused on Arctic and Antarctic ice dynamics (34 papers), Cryospheric studies and observations (30 papers) and Climate change and permafrost (23 papers). Eero Rinne collaborates with scholars based in Finland, United Kingdom and Germany. Eero Rinne's co-authors include Stefan Hendricks, Robert Ricker, Stefan Kern, Henriette Skourup, M. Similä, S. L. Farrell, Stephan Paul, Jari Haapala, Andrew Shepherd and K. Khvorostovsky and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Eero Rinne

32 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eero Rinne Finland 14 487 66 57 56 46 35 543
Xiaoyi Shen China 12 274 0.6× 45 0.7× 50 0.9× 30 0.5× 36 0.8× 39 359
Thomas Busche Germany 10 260 0.5× 62 0.9× 16 0.3× 42 0.8× 89 1.9× 34 385
Sahra Kacimi United States 10 417 0.9× 40 0.6× 97 1.7× 22 0.4× 9 0.2× 18 456
Jessica Cartwright United Kingdom 9 231 0.5× 64 1.0× 97 1.7× 16 0.3× 62 1.3× 14 305
Nina Maaß Germany 10 571 1.2× 45 0.7× 78 1.4× 20 0.4× 11 0.2× 13 582
Dean Flett Canada 12 284 0.6× 76 1.2× 23 0.4× 68 1.2× 114 2.5× 31 372
J. Wolfe Netherlands 7 191 0.4× 124 1.9× 61 1.1× 13 0.2× 50 1.1× 8 273
B. Panzer United States 7 543 1.1× 25 0.4× 39 0.7× 7 0.1× 28 0.6× 10 575
Yufang Ye China 12 240 0.5× 24 0.4× 38 0.7× 43 0.8× 17 0.4× 28 297
Ya-Lun S. Tsai Taiwan 7 202 0.4× 22 0.3× 43 0.8× 7 0.1× 63 1.4× 18 292

Countries citing papers authored by Eero Rinne

Since Specialization
Citations

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

Fields of papers citing papers by Eero Rinne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eero Rinne

This figure shows the co-authorship network connecting the top 25 collaborators of Eero Rinne. A scholar is included among the top collaborators of Eero Rinne 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 Eero Rinne. Eero Rinne 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.
Hansen, Renée Mie Fredensborg, Henriette Skourup, Eero Rinne, et al.. (2025). Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 2: Comparing airborne estimates with near-coincident CryoSat-2 and ICESat-2 (CRYO2ICE). ˜The œcryosphere. 19(10). 4193–4209. 1 indexed citations
2.
Hansen, Renée Mie Fredensborg, Henriette Skourup, Eero Rinne, et al.. (2025). Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 1: C∕S-, Ku-, and Ka-band airborne observations. ˜The œcryosphere. 19(10). 4167–4192. 1 indexed citations
3.
Hansen, Renée Mie Fredensborg, Henriette Skourup, Eero Rinne, et al.. (2024). Arctic Freeboard and Snow Depth From Near‐Coincident CryoSat‐2 and ICESat‐2 (CRYO2ICE) Observations: A First Examination of Winter Sea Ice During 2020–2022. Earth and Space Science. 11(4). 7 indexed citations
4.
Karvonen, Juha, et al.. (2022). Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar. ˜The œcryosphere. 16(5). 1821–1844. 6 indexed citations
5.
Hansen, Renée Mie Fredensborg, Eero Rinne, & Henriette Skourup. (2021). Classification of Sea Ice Types in the Arctic by Radar Echoes from SARAL/AltiKa. Remote Sensing. 13(16). 3183–3183. 7 indexed citations
6.
Hansen, Renée Mie Fredensborg, Eero Rinne, S. L. Farrell, & Henriette Skourup. (2021). Estimation of degree of sea ice ridging in the Bay of Bothnia based on geolocated photon heights from ICESat-2. ˜The œcryosphere. 15(6). 2511–2529. 7 indexed citations
7.
8.
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
9.
Farrell, S. L., et al.. (2019). Assessment of contemporary satellite sea ice thickness products for Arctic sea ice. ˜The œcryosphere. 13(4). 1187–1213. 48 indexed citations
10.
11.
Paul, Stephan, Stefan Hendricks, Robert Ricker, Stefan Kern, & Eero Rinne. (2018). Consistent CryoSat-2 and Envisat Freeboard Retrieval of Arctic andAntarctic Sea Ice. Biogeosciences (European Geosciences Union). 3 indexed citations
12.
Paul, Stephan, Stefan Hendricks, Robert Ricker, Stefan Kern, & Eero Rinne. (2018). Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative. ˜The œcryosphere. 12(7). 2437–2460. 61 indexed citations
13.
Lensu, Mikko, et al.. (2018). Interannual sea ice thickness variability in the Bay of Bothnia. ˜The œcryosphere. 12(11). 3459–3476. 18 indexed citations
14.
Quartly, Graham D., Eero Rinne, Marcello Passaro, et al.. (2018). Review of Radar Altimetry Techniques over the Arctic Ocean: Recent Progress and Future Opportunities for Sea Level and Sea Ice Research. Biogeosciences (European Geosciences Union). 5 indexed citations
15.
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
16.
Rinne, Eero, et al.. (2016). About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice. ˜The œcryosphere. 10(4). 1415–1425. 33 indexed citations
17.
Rinne, Eero & M. Similä. (2016). Utilisation of CryoSat-2 SAR altimeter in operational ice charting. ˜The œcryosphere. 10(1). 121–131. 24 indexed citations
18.
Kern, Stefan, K. Khvorostovsky, Henriette Skourup, et al.. (2015). The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise. ˜The œcryosphere. 9(1). 37–52. 67 indexed citations
19.
Ticconi, Francesca, et al.. (2013). Preliminary Results on Algorithm and Sensor Comparisons for the Estimation of Surface Elevation Changes over Ice Caps Using Altimetry Data. 710. 100.
20.
Rinne, Eero & Henriette Skourup. (2012). Sea Ice Detection Using EnviSAT Radar Altimeter 2. AGUFM. 2012. 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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