Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Estimating northern hemisphere snow water equivalent for climate research through assimilation of space-borne radiometer data and ground-based measurements
2011453 citationsMatias Takala, Kari Luojus et al.Remote Sensing of Environmentprofile →
Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018
2020275 citationsJouni Pulliainen, Kari Luojus et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jouni Pulliainen
Since
Specialization
Citations
This map shows the geographic impact of Jouni Pulliainen'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 Jouni Pulliainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jouni Pulliainen more than expected).
Fields of papers citing papers by Jouni Pulliainen
This network shows the impact of papers produced by Jouni Pulliainen. 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 Jouni Pulliainen. The network helps show where Jouni Pulliainen may publish in the future.
Co-authorship network of co-authors of Jouni Pulliainen
This figure shows the co-authorship network connecting the top 25 collaborators of Jouni Pulliainen.
A scholar is included among the top collaborators of Jouni Pulliainen 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 Jouni Pulliainen. Jouni Pulliainen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lemmetyinen, Juha, Jouni Pulliainen, Anna Kontu, et al.. (2014). Observations of seasonal snow cover at X and Ku bands during the NoSREx campaign. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 1–4.2 indexed citations
Macelloni, Giovanni, Marco Brogioni, Francesco Montomoli, et al.. (2014). Retrieval of snow water equivalent in forested area using multifrequency SAR data. 1–3.1 indexed citations
14.
Luojus, Kari, Jouni Pulliainen, Matias Takala, et al.. (2011). ESA Globsnow - Hemispherical Snow Extent and Snow Water Equivalent Records for Climate Research Purposes. AGUFM. 2011.1 indexed citations
15.
Luojus, Kari, Jouni Pulliainen, Matias Takala, et al.. (2010). ESA DUE Globsnow- Global Snow Database for Climate Research. ESASP. 686. 260.5 indexed citations
16.
Solberg, Rune, et al.. (2010). A New Global Snow Extent Product. ESASP. 686. 261.1 indexed citations
17.
Pulliainen, Jouni, J. Vepsäläinen, Sampsa Koponen, et al.. (2005). Water Quality and Algae Bloom Mapping in CASE 2 Waters of the Baltic Sea and Finnish Lakes using Envisat MERIS Data. 572.
18.
Pulliainen, Jouni, et al.. (2005). Use of ERS-2 SAR Data for Estimating Soil Moisture and Vegetation Water Content Variations in Boreal Forests. 572.1 indexed citations
19.
Pulliainen, Jouni, Sari Metsämäki, Kari Luojus, et al.. (2005). FEASIBILITY OF ENVISAT DATA FOR THE ESTIMATION OF SNOW PACK CHARACTERISTICS AND AREAL FRACTION OF SNOW IN BOREAL FORESTS. 572.1 indexed citations
20.
Metsämäki, Sari, J. Vepsäläinen, Jouni Pulliainen, et al.. (2002). The applicability of C-band SAR and optical data for snow monitoring in boreal forest. ESASP. 475. 371–376.1 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.