Skolkovo Institute of Science and Technology

8k papers receiving 193.6k citations

Peers

Skolkovo Institute of Science and Technology
Comparison fields: 5 of 242
  • Computational Mathematics 1.2k
  • Materials Chemistry 25.6k
  • Electrical and Electronic Engineering 26.5k
  • Computer Vision and Pattern Recognition 11k
  • Artificial Intelligence 13.7k
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Skolkovo Institute of Science and Technology relative to Moscow Institute of Physics and Technology Russia Moscow Institute of Physics and Technology's profile →
Citations per field
00.5×5×10×13.6×
Moscow Institute of Physics and Technology · 1×
Citations per year

Countries citing scholars working at Skolkovo Institute of Science and Technology

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Skolkovo Institute of Science and Technology. 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 papers produced at Skolkovo Institute of Science and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Skolkovo Institute of Science and Technology more than expected).

Fields of papers published by authors at Skolkovo Institute of Science and Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Skolkovo Institute of Science and Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Skolkovo Institute of Science and Technology at the time of their publication.

About Skolkovo Institute of Science and Technology

In recent decades, authors affiliated with Skolkovo Institute of Science and Technology have published 8.7k papers, which have received a total of 194.2k indexed citations . Scholars at this organization have produced 76 papers in Computational Mathematics, 250 papers in Statistical and Nonlinear Physics, 1.2k papers in Electrical and Electronic Engineering, 224 papers in Geometry and Topology and 291 papers in Ocean Engineering on the topics of Advancements in Battery Materials (285 papers), Hydrocarbon exploration and reservoir analysis (190 papers), Enhanced Oil Recovery Techniques (169 papers), Machine Learning in Materials Science (154 papers), Carbon Nanotubes in Composites (143 papers), Nonlinear Waves and Solitons (137 papers), Algebraic structures and combinatorial models (120 papers) and Graphene research and applications (115 papers). Their work is cited by papers focused on Computational Mathematics (1.2k citations), Materials Chemistry (25.6k citations), Electrical and Electronic Engineering (26.5k citations), Computer Vision and Pattern Recognition (11k citations) and Artificial Intelligence (13.7k citations). Authors at Skolkovo Institute of Science and Technology collaborate with scholars in Russia, United States and Germany and have published in prestigious journals including Physical review. B., Scientific Reports, International Journal of Molecular Sciences, Nucleic Acids Research and IEEE Access. Some of Skolkovo Institute of Science and Technology's most productive authors include Victor Lempitsky, Alexander V. Shapeev, Артем Ромаевич Оганов, Keith J. Stevenson, Andrzej S Cichocki, Artem M. Abakumov, Ivan Valer'evich Oseledets, Dmitry Ulyanov, Jacob Biamonte and Yaroslav Ganin.

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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