Misha Smelyanskiy

1.3k citations
4 papers · 346 indexed · 1 hit paper · h-index 2
Topics
Statistical and numerical algorithms (1 paper)Distributed and Parallel Computing Systems (1 paper)Geological Studies and Exploration (1 paper)
Partner nations
RussiaIsrael

In The Last Decade

Misha Smelyanskiy

3 papers receiving 333 citations

Hit Papers

Applied Machine Learning at Facebook: A Datacenter Infras...20182026202020232018100200300

Peers

Misha Smelyanskiy
Comparison fields: 5 of 58
  • Computer Networks and Communications 153
  • Artificial Intelligence 135
  • Information Systems 124
  • Computer Vision and Pattern Recognition 101
  • Electrical and Electronic Engineering 81
Replace Kaoutar El Maghraoui with:
Kaoutar El Maghraoui United States
Hwai-Jung Hsu Taiwan
Michał Podstawski Switzerland
Joe Sventek United Kingdom
Maarten Wegdam Netherlands
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Danny Soroker United States
Shicong Meng United States
D. Morató Spain
Sandra Dominikus Austria
Misha Smelyanskiy relative to Kaoutar El Maghraoui United States Kaoutar El Maghraoui's profile →
Citations per field
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Kaoutar El Maghraoui · 1×
Citations per year

Countries citing papers authored by Misha Smelyanskiy

Since Specialization
Citations

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

Fields of papers citing papers by Misha Smelyanskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misha Smelyanskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Misha Smelyanskiy. A scholar is included among the top collaborators of Misha Smelyanskiy 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 Misha Smelyanskiy. Misha Smelyanskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 0
2 7
3
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspectivebreakdown →
338
4 1

About Misha Smelyanskiy

Misha Smelyanskiy is a scholar working on Geology, Environmental Chemistry and Applied Mathematics, having authored 4 papers that have together received 346 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (1 paper), Distributed and Parallel Computing Systems (1 paper) and Geological Studies and Exploration (1 paper). The work is most often cited by research in Hardware and Architecture (78 citations), Computational Mathematics (4 citations) and Computer Networks and Communications (153 citations). Misha Smelyanskiy has collaborated with scholars based in Russia and Israel. Frequent co-authors include Kim Hazelwood, Liang Xiong, David Brooks, Sarah Bird, Bill Jia, Soumith Chintala, Kevin Lee, Utku Diril, Xiaodong Wang and Mohamed Fawzy. Their work appears in journals such as Izvestiya Atmospheric and Oceanic Physics.

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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