Peter Boyvalenkov

41 papers receiving 216 citations

Peers

Peter Boyvalenkov
Comparison fields: 5 of 29
  • Numerical Analysis 173
  • Discrete Mathematics and Combinatorics 18
  • Algebra and Number Theory 22
  • Artificial Intelligence 114
  • Management Science and Operations Research 29
Replace Shui-Hung Hou with:
Shui-Hung Hou Hong Kong
E. D. Gluskin Israel
Charles Hobby United States
Boris Venkov Russia
Ferenc Szöllősi Hungary
Hajime Tanaka Japan
Dion Gijswijt Netherlands
Ahmet Şahiner Türkiye
Carola Winzen Germany
François Ollivier France
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Citations per field
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Citations per year

Countries citing papers authored by Peter Boyvalenkov

Since Specialization
Citations

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

Fields of papers citing papers by Peter Boyvalenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Peter Boyvalenkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Boyvalenkov Line = papers co-authored together Peter Boyvalenkov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199628
2 199517
3 201615
4 199914
5 201612
6 199511
7 19999
8 19999
9 20139
10 20018
11 20168
12 19977
13 20196
14 20186
15 20206
16 19975
17 20085
18 19945
19 20154
20 20204

About Peter Boyvalenkov

Peter Boyvalenkov is a scholar working on Numerical Analysis, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry and Algebra and Number Theory, having authored 49 papers that have together received 235 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (35 papers), Coding theory and cryptography (27 papers), graph theory and CDMA systems (16 papers), Quasicrystal Structures and Properties (8 papers), Analytic Number Theory Research (6 papers), Finite Group Theory Research (5 papers), Optimal Experimental Design Methods (5 papers) and Mathematical functions and polynomials (4 papers). The work is most often cited by research in Numerical Analysis (173 citations), Discrete Mathematics and Combinatorics (18 citations), Algebra and Number Theory (22 citations), Artificial Intelligence (114 citations) and Management Science and Operations Research (29 citations). Peter Boyvalenkov has collaborated with scholars based in Bulgaria, United States and Russia. Frequent co-authors include Danyo Danev, Douglas P. Hardin, Edward B. Saff, Peter D Dragnev, Svetla Nikova⋆, Victor Zinoviev, E. B. Saff, Dmitrii Kaplun, N.I. Chervyakov and Pavel Lyakhov. Their work appears in journals such as Problems of Information Transmission, Designs Codes and Cryptography, IEEE Transactions on Information Theory, Results in Mathematics and Discrete Mathematics.

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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