С. А. Абрамов

181 total papers · 2.0k total citations
107 papers, 1.0k citations indexed

About

С. А. Абрамов is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, С. А. Абрамов has authored 107 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computational Theory and Mathematics, 21 papers in Numerical Analysis and 21 papers in Artificial Intelligence. Recurrent topics in С. А. Абрамов's work include Polynomial and algebraic computation (63 papers), Advanced Numerical Analysis Techniques (16 papers) and Numerical methods for differential equations (16 papers). С. А. Абрамов is often cited by papers focused on Polynomial and algebraic computation (63 papers), Advanced Numerical Analysis Techniques (16 papers) and Numerical methods for differential equations (16 papers). С. А. Абрамов collaborates with scholars based in Russia, Slovenia and France. С. А. Абрамов's co-authors include Marko Petkovšek, Manuel Bronstein, Mark van Hoeij, Peter Paule, V. F. Edneral, A. P. Kryukov, Eugene V. Zima, Carsten Schneider, Moulay A. Barkatou and H. Q. Le and has published in prestigious journals such as Lecture notes in computer science, Discrete Mathematics and Advances in Applied Mathematics.

In The Last Decade

С. А. Абрамов

93 papers receiving 923 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
С. А. Абрамов 761 252 226 201 186 107 1.0k
Peter Bürgisser 822 1.1× 245 1.0× 196 0.9× 360 1.8× 87 0.5× 62 1.2k
Mark van Hoeij 636 0.8× 374 1.5× 214 0.9× 206 1.0× 124 0.7× 63 1.0k
Peter J. Grabner 306 0.4× 88 0.3× 234 1.0× 207 1.0× 132 0.7× 108 991
Barry Trager 631 0.8× 263 1.0× 191 0.8× 246 1.2× 55 0.3× 33 889
Georg Heinig 704 0.9× 70 0.3× 154 0.7× 89 0.4× 292 1.6× 52 985
Rekha R. Thomas 576 0.8× 282 1.1× 258 1.1× 79 0.4× 39 0.2× 56 1.1k
Giorgio Ottaviani 382 0.5× 505 2.0× 190 0.8× 104 0.5× 47 0.3× 65 1.1k
Frank Uhlig 459 0.6× 108 0.4× 92 0.4× 80 0.4× 143 0.8× 70 1.0k
William N. Anderson 655 0.9× 291 1.2× 115 0.5× 91 0.5× 324 1.7× 25 1.1k
Jesús A. De Loera 566 0.7× 208 0.8× 230 1.0× 119 0.6× 62 0.3× 84 1.1k

Countries citing papers authored by С. А. Абрамов

Since Specialization
Citations

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

Fields of papers citing papers by С. А. Абрамов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. А. Абрамов. 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 С. А. Абрамов. The network helps show where С. А. Абрамов may publish in the future.

Co-authorship network of co-authors of С. А. Абрамов

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

All Works

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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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