V.B. Balakirsky

22 papers receiving 207 citations

Peers

V.B. Balakirsky
Comparison fields: 5 of 28
  • Electrical and Electronic Engineering 168
  • Computer Networks and Communications 136
  • Artificial Intelligence 80
  • Computational Theory and Mathematics 41
  • Molecular Biology 29
Replace Laura Luzzi with:
Laura Luzzi France
Toshiyasu Matsushima Japan
J.R. Roche United States
Louay Bazzi Lebanon
A. J. Han Vinck Germany
Jørn Justesen Denmark
Gil I. Shamir United States
Eleni Drinea United States
Amir Ingber United States
V.B. Balakirsky relative to Laura Luzzi France Laura Luzzi's profile →
Citations per field
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Citations per year

Countries citing papers authored by V.B. Balakirsky

Since Specialization
Citations

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

Fields of papers citing papers by V.B. Balakirsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.B. Balakirsky. 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 V.B. Balakirsky. The network helps show where V.B. Balakirsky may publish in the future.

Co-authorship network of co-authors of V.B. Balakirsky

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 1
3 3
4 1
5 5
6 4
7 2
8 17
9 0
10
Estimates of the Decoding Error Probability for parallel channels with dependent noise
1
11 6
12 1
13 3
14
Constructions of permutation codes for multi-user communication
2
15 19
16 3
17
Identification under Random Processes
8
18 2
19 1
20 36

About V.B. Balakirsky

V.B. Balakirsky is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 29 papers that have together received 227 indexed citations. Recurring topics across this work include Cellular Automata and Applications (10 papers), Coding theory and cryptography (8 papers) and graph theory and CDMA systems (8 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Electrical and Electronic Engineering (168 citations) and Computational Theory and Mathematics (41 citations). V.B. Balakirsky has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include A. J. Han Vinck, Rudolf Ahlswede, A. J. Han Vinck, Henk D. L. Hollmann, Ludo Tolhuizen, Sebastian Egner, Cyriel M. A. Pennartz, Martin Vinck and Francesco P. Battaglia. Their work appears in journals such as IEEE Transactions on Information Theory, The Computer Journal and Security and Communication Networks.

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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