Sergey Pupyrev

790 total citations
17 papers, 108 citations indexed

About

Sergey Pupyrev is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Sergey Pupyrev has authored 17 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Computational Theory and Mathematics and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Sergey Pupyrev's work include Computational Geometry and Mesh Generation (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Data Visualization and Analytics (4 papers). Sergey Pupyrev is often cited by papers focused on Computational Geometry and Mesh Generation (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Data Visualization and Analytics (4 papers). Sergey Pupyrev collaborates with scholars based in United States, Germany and Australia. Sergey Pupyrev's co-authors include Stephen Kobourov, Paolo Simonetto, Brian Karrer, Alon Efrat, Michael A. Bekos, Yifan Hu, Julián Mestre, Lev Nachmanson, Sergey Bereg and Lei Wang and has published in prestigious journals such as Proceedings of the VLDB Endowment, Theoretical Computer Science and Nature Machine Intelligence.

In The Last Decade

Sergey Pupyrev

15 papers receiving 103 citations

Peers

Sergey Pupyrev

CVPR

CNC

SP

AI

SNP

Huasha Zhao United States

Vishal Saraswat India

Nodari Sitchinava United States

Emilia Käsper United States

Sriram Lakshminarasimhan United States

Sebastian Leipert Germany

Patrick K. Nicholson United States

Paweł Morawiecki Poland

Petr Švenda Czechia

Wil Michiels Netherlands

Huasha Zhao United States

Sergey Pupyrev

47 ×1.0

CVPR

51 ×1.2

CNC

10 ×0.4

SP

107 ×4.7

AI

6 ×0.3

SNP

Citations per year, relative to Sergey Pupyrev Sergey Pupyrev (= 1×) peers Huasha Zhao

Countries citing papers authored by Sergey Pupyrev

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Pupyrev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Pupyrev

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Pupyrev, Sergey, et al.. (2024). Stale Profile Matching. 162–173. 3 indexed citations

2.

Lee, Kyungwoo, et al.. (2024). Reordering Functions in Mobiles Apps for Reduced Size and Faster Start-Up. ACM Transactions on Embedded Computing Systems. 23(4). 1–54. 2 indexed citations

3.

Kroer, Christian, et al.. (2023). Matching algorithms for blood donation. Nature Machine Intelligence. 5(10). 1108–1118.

4.

Lee, Kyungwoo, et al.. (2023). Optimizing Function Layout for Mobile Applications. 52–63. 3 indexed citations

5.

Mestre, Julián, et al.. (2022). Profile inference revisited. Proceedings of the ACM on Programming Languages. 6(POPL). 1–24. 9 indexed citations

6.

Bekos, Michael A., et al.. (2022). The mixed page number of graphs. Theoretical Computer Science. 931. 131–141.

7.

Kroer, Christian, et al.. (2020). Matching Algorithms for Blood Donation. 463–464. 7 indexed citations

8.

Bekos, Michael A., et al.. (2020). Queue Layouts of Planar 3-Trees. Algorithmica. 82(9). 2564–2585. 7 indexed citations

9.

Kaufmann, Michael, et al.. (2020). Four pages are indeed necessary for planar graphs. 11(1). 332–353. 6 indexed citations

10.

Karrer, Brian, et al.. (2017). Social hash partitioner. Proceedings of the VLDB Endowment. 10(11). 1418–1429. 27 indexed citations

11.

Pupyrev, Sergey, Lev Nachmanson, Sergey Bereg, & Alexander E. Holroyd. (2015). Edge routing with ordered bundles. Computational Geometry. 52. 18–33. 7 indexed citations

12.

Efrat, Alon, Yifan Hu, Stephen Kobourov, & Sergey Pupyrev. (2015). MapSets: Visualizing Embedded and Clustered Graphs. Journal of Graph Algorithms and Applications. 19(2). 571–593. 11 indexed citations

13.

Fink, Martin, Sergey Pupyrev, & Alexander Wolff. (2015). Ordering Metro Lines by Block Crossings. Journal of Graph Algorithms and Applications. 19(1). 111–153. 3 indexed citations

14.

Kobourov, Stephen, Sergey Pupyrev, & Paolo Simonetto. (2014). Visualizing Graphs as Maps with Contiguous Regions. Eurographics. 14 indexed citations

15.

Bekos, Michael A., et al.. (2014). Perfect smooth orthogonal drawings. 76–81. 1 indexed citations

16.

Kobourov, Stephen, et al.. (2014). 3D proportional contact representations of graphs. 88. 27–32. 1 indexed citations

17.

Pupyrev, Sergey, et al.. (2010). Analyzing conversations with dynamic graph visualization. 5295. 748–753. 7 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.

Explore authors with similar magnitude of impact