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.
Unusual activity of the Sun during recent decades compared to the previous 11,000 years
2004688 citationsS. K. Solanki, Ilya Usoskin et al.profile →
Extreme solar events
2022100 citationsE. W. Cliver, Ilya Usoskin et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Ilya Usoskin'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 Ilya Usoskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Usoskin more than expected).
This network shows the impact of papers produced by Ilya Usoskin. 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 Ilya Usoskin. The network helps show where Ilya Usoskin may publish in the future.
Co-authorship network of co-authors of Ilya Usoskin
This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Usoskin.
A scholar is included among the top collaborators of Ilya Usoskin 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 Ilya Usoskin. Ilya Usoskin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Usoskin, Ilya, S. K. Solanki, N. A. Krivova, et al.. (2021). Solar cyclic activity over the last millennium reconstructed from annual ¹⁴C data. University of Oulu Repository (University of Oulu).69 indexed citations
Koldobskiy, S., V. Bindi, C. Corti, G. A. Kovaltsov, & Ilya Usoskin. (2019). Validation of the neutron monitor yield function using data from AMS‐02 experiment, 2011–2017. University of Oulu Repository (University of Oulu).50 indexed citations
12.
Egorova, Tatiana, W. Schmütz, Eugene Rozanov, et al.. (2018). Revised historical solar irradiance forcing. Springer Link (Chiba Institute of Technology).52 indexed citations
13.
Usoskin, Ilya, et al.. (2018). A test of the active-day fraction method of sunspot group number calibration:dependence on the level of solar activity. University of Oulu Repository (University of Oulu).8 indexed citations
14.
Katsova, M. M., L. L. Kitchatinov, M. A. Livshits, et al.. (2018). Can superflares occur on the Sun?:a view from dynamo theory. University of Oulu Repository (University of Oulu).15 indexed citations
15.
Poluianov, Stepan, G. A. Kovaltsov, & Ilya Usoskin. (2018). Solar energetic particles and galactic cosmic rays over millions of years as inferred from data on cosmogenic ²⁶Al in lunar samples. University of Oulu Repository (University of Oulu).22 indexed citations
16.
Krivova, N. A., et al.. (2018). Solar total and spectral irradiance reconstruction over the last 9000 years. University of Oulu Repository (University of Oulu).82 indexed citations
17.
Mishev, Alexander & Ilya Usoskin. (2016). Analysis of the ground-level enhancements on 14 July 2000 and 13 December 2006 using neutron monitor data. University of Oulu Repository (University of Oulu).39 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.