M. Similä

918 total citations
51 papers, 654 citations indexed

About

M. Similä is a scholar working on Atmospheric Science, Oceanography and Environmental Engineering. According to data from OpenAlex, M. Similä has authored 51 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Atmospheric Science, 10 papers in Oceanography and 10 papers in Environmental Engineering. Recurrent topics in M. Similä's work include Arctic and Antarctic ice dynamics (45 papers), Cryospheric studies and observations (30 papers) and Climate change and permafrost (21 papers). M. Similä is often cited by papers focused on Arctic and Antarctic ice dynamics (45 papers), Cryospheric studies and observations (30 papers) and Climate change and permafrost (21 papers). M. Similä collaborates with scholars based in Finland, Germany and China. M. Similä's co-authors include Marko Mäkynen, Juha Karvonen, M. Hallikainen, Bin Cheng, Terhikki Manninen, Mikko Lensu, Eero Rinne, Timo Vihma, Jouni Vainio and Christian Haas and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

M. Similä

47 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Similä Finland 15 533 111 87 66 53 51 654
Marko Mäkynen Finland 17 1.1k 2.0× 157 1.4× 145 1.7× 101 1.5× 25 0.5× 61 1.1k
Daehyeon Han South Korea 11 288 0.5× 210 1.9× 68 0.8× 24 0.4× 71 1.3× 19 522
Fanyu Zhao China 10 199 0.4× 71 0.6× 87 1.0× 13 0.2× 30 0.6× 31 479
Junhwa Chi South Korea 10 204 0.4× 41 0.4× 37 0.4× 33 0.5× 56 1.1× 25 323
Shuangshang Zhang China 7 118 0.2× 41 0.4× 280 3.2× 29 0.4× 57 1.1× 17 435
Norman Fomferra United Kingdom 10 75 0.1× 72 0.6× 129 1.5× 16 0.2× 97 1.8× 17 325
Noah Lawrence‐Slavas United States 12 114 0.2× 33 0.3× 299 3.4× 47 0.7× 136 2.6× 23 518
Tom R. Andersson United Kingdom 5 245 0.5× 42 0.4× 71 0.8× 42 0.6× 41 0.8× 9 363
Einar Bjørgo Norway 7 291 0.5× 16 0.1× 67 0.8× 34 0.5× 37 0.7× 16 400
Sanggyun Lee South Korea 11 306 0.6× 51 0.5× 50 0.6× 36 0.5× 38 0.7× 19 415

Countries citing papers authored by M. Similä

Since Specialization
Citations

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

Fields of papers citing papers by M. Similä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Similä

This figure shows the co-authorship network connecting the top 25 collaborators of M. Similä. A scholar is included among the top collaborators of M. Similä 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 M. Similä. M. Similä 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.
Lensu, Mikko & M. Similä. (2022). Ice ridge density signatures in high-resolution SAR images. ˜The œcryosphere. 16(10). 4363–4377. 1 indexed citations
2.
Dierking, Wolfgang, Marko Mäkynen, & M. Similä. (2020). Editorial for the Special Issue “Combining Different Data Sources for Environmental and Operational Satellite Monitoring of Sea Ice Conditions”. Remote Sensing. 12(4). 606–606. 2 indexed citations
3.
Shen, Xiaoyi, M. Similä, Wolfgang Dierking, et al.. (2019). A New Retracking Algorithm for Retrieving Sea Ice Freeboard from CryoSat-2 Radar Altimeter Data during Winter–Spring Transition. Remote Sensing. 11(10). 1194–1194. 8 indexed citations
4.
Similä, M., et al.. (2018). Estimation of degree of sea ice ridging based on dual-polarized C-band SAR data. ˜The œcryosphere. 12(1). 343–364. 29 indexed citations
5.
Similä, M. & Mikko Lensu. (2018). Estimating the Speed of Ice-Going Ships by Integrating SAR Imagery and Ship Data from an Automatic Identification System. Remote Sensing. 10(7). 1132–1132. 20 indexed citations
6.
Similä, M., et al.. (2016). Modeled Sea Ice Thickness Enhanced by Remote Sensing Data. ESASP. 740. 48. 6 indexed citations
7.
Rinne, Eero & M. Similä. (2016). Utilisation of CryoSat-2 SAR altimeter in operational ice charting. ˜The œcryosphere. 10(1). 121–131. 24 indexed citations
8.
Ji, Yonggang, Wolfgang Dierking, M. Similä, et al.. (2013). Application of Envisat ASAR Data on Sea Ice Detection and Classification in Bohai Sea and Comparison to other Ice Regimes. ESASP. 704. 43. 1 indexed citations
9.
Mäkynen, Marko, M. Similä, & Bin Cheng. (2010). On Level Ice Thickness Retrieval in the Kara Sea Using MODIS and Envisat ASAR Data. ESASP. 686. 52. 2 indexed citations
10.
Mäkynen, Marko, M. Similä, Bin Cheng, Vesa Laine, & Juha Karvonen. (2010). Sea Ice Thickness Retrieval In The Baltic Sea Using MODIS And SAR Data. ESASP. 679. 16. 3 indexed citations
11.
Karvonen, Juha, Bin Cheng, M. Similä, & M. Hallikainen. (2008). Baltic Sea Ice Thickness Charts based on Thermodynamic Snow/Ice Model, C-band SAR Classification and Ice Motion Detection. 39. IV – 173. 5 indexed citations
12.
Similä, M., Juha Karvonen, & Christian Haas. (2006). Inferring the Degree of Ice Field Deformation in the Baltic Sea Using Envisat ASAR Images. ESASP. 613. 31. 5 indexed citations
13.
Similä, M., Juha Karvonen, Christian Haas, & M. Hallikainen. (2006). C-Band SAR Based Estimation of Baltic Sea Ice Thickness Distributions. 710–713. 5 indexed citations
14.
Mäkynen, Marko, M. Similä, Terhikki Manninen, M. Hallikainen, & Juha Karvonen. (2006). Dependence between standard deviation and measurement length for C-band backscattering signatures of the Baltic Sea ice. IEEE Transactions on Geoscience and Remote Sensing. 44(10). 2890–2898. 3 indexed citations
15.
Karvonen, Juha, M. Similä, M. Hallikainen, & Christian Haas. (2005). Estimation of Equivalent Deformed Ice Thickness from Baltic Sea Ice. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 1 indexed citations
16.
Similä, M., Juha Karvonen, M. Hallikainen, & Christian Haas. (2005). On SAR-based statistical ice thickness estimation in the baltic sea. 6. 4030–4033. 2 indexed citations
17.
Karvonen, Juha, M. Similä, M. Hallikainen, & Christian Haas. (2005). Estimation of equivalent deformed ice thickness from Baltic Sea ice SAR imagery. 7. 5165–5167. 4 indexed citations
18.
Karvonen, Juha & M. Similä. (2002). A wavelet transform coder supporting browsing and transmission of sea ice SAR imagery. IEEE Transactions on Geoscience and Remote Sensing. 40(11). 2464–2485. 3 indexed citations
19.
Similä, M., et al.. (2002). The identification of the deformed sea ice fields from ERS-1 SAR image by wavelets. 2. 868–870. 3 indexed citations
20.
Karvonen, Juha & M. Similä. (2002). Independent component analysis for sea ice SAR image classification. 3. 1255–1257. 11 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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