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.
Glacier acceleration and thinning after ice shelf collapse in the Larsen B embayment, Antarctica
This map shows the geographic impact of Pedro Skvarca'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 Pedro Skvarca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Skvarca more than expected).
This network shows the impact of papers produced by Pedro Skvarca. 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 Pedro Skvarca. The network helps show where Pedro Skvarca may publish in the future.
Co-authorship network of co-authors of Pedro Skvarca
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Skvarca.
A scholar is included among the top collaborators of Pedro Skvarca 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 Pedro Skvarca. Pedro Skvarca is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sugiyama, Shin, Pedro Skvarca, Hiroyuki Enomoto, et al.. (2010). Calving Glacier Dynamics Controlled by Small Fluctuations in Subglacial Water Pressure Revealed by Hot Water Drilling in Glaciar Perito Moreno, Patagonia. AGUFM. 2010.1 indexed citations
7.
Haug, T., Andreas Kääb, & Pedro Skvarca. (2010). Monitoring ice shelf velocities from repeat MODIS and Landsat data. A test study on the Larsen C ice shelf, Antarctic Peninsula, and application to 10 other ice shelves around Antarctica. EGU General Assembly Conference Abstracts. 689.4 indexed citations
Hashimoto, Takeshi, András Rövid, Akihisa Fukuda, et al.. (2009). An introduction of high-precise 3D measurement system and its applications. Journal of Automation Mobile Robotics & Intelligent Systems. 25–28.4 indexed citations
10.
Aniya, Masamu, Hiroyuki Enomoto, Pedro Skvarca, et al.. (2007). Glaciological and geomorphological studies at Glaciar Exploradores, Hielo Patagonico Norte, and Glaciar Perito Moreno, Hielo Patagonico Sur, South America, during ,2003-2005(GRPP03-05). 24(24). 95–107.8 indexed citations
Aniya, Masamu, Hiroaki Sato, Renji Naruse, Pedro Skvarca, & Gino Casassa. (1996). The use of satellite and airborne imagery to inventory outlet glaciers of the Southern Patagonia Icefield, South America. Photogrammetric Engineering & Remote Sensing. 62(12). 1361–1369.163 indexed citations
13.
Takeuchi, Yukari, Renji Naruse, & Pedro Skvarca. (1996). Annual air-temperature measurement and ablation estimate at Moreno Glacier, Patagonia. 14(14). 23–28.17 indexed citations
14.
Naruse, Renji, et al.. (1995). Thickness change and short-term flow variation of Moreno Glacier, Patagonia. 13(13). 21–28.22 indexed citations
15.
Skvarca, Pedro, et al.. (1995). Recent thinning, retreat and flow of Upsala Glacier, Patagonia. 13(13). 11–20.25 indexed citations
16.
Valle, R.A. del, et al.. (1995). A preliminary study of sediment cores from Lago Argentino and fluctuations of Moreno Glacier, Patagonia. 13(13). 121–126.10 indexed citations
Naruse, Renji, et al.. (1992). Flow of Upsala and Moreno glaciers, southern Patagonia. 55–62.16 indexed citations
19.
Aniya, Masamu & Pedro Skvarca. (1992). Characteristics and variations of Upsala and Moreno glaciers, southern Patagonia. 10(10). 39–53.59 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.