Demo Data from EDBT 2026 / reviewers in the wild / expert
Otokar Grosek
dblp:88/2488
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2023
0000-0002-3701-3468ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 first-authorTheory of computation · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Coding theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding › variable-length codes › prefix codes
huffman coding |
0.7 | 1 | 2023 | On the Maximum Size of a Prefix Code · IEEE Trans. Inf. Theory 2023 |
Coding theory › source coding › variable-length codes › prefix codes
optimal prefix code |
0.7 | 1 | 2023 | On the Maximum Size of a Prefix Code · IEEE Trans. Inf. Theory 2023 |
Coding theory › source coding › variable-length codes
prefix codes |
0.7 | 1 | 2023 | On the Maximum Size of a Prefix Code · IEEE Trans. Inf. Theory 2023 |
Coding theory
source coding |
0.7 | 1 | 2023 | On the Maximum Size of a Prefix Code · IEEE Trans. Inf. Theory 2023 |
Methods — techniques the papers use, named apart from their topics
lambert function · 0.7computational complexity analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | On the Maximum Size of a Prefix CodeabstractA prefix code minimal with respect to a bitstring$x$is a prefix code where$x$is a concatenation of its codewords and it is minimal with respect to this property. What is the maximum size$M(n)$among all minimal codes over all bitstrings of length$n?$In this paper we determine the value of$M(n)$for all natural numbers$n$, discuss its computational complexity, relation to the Lambert function, provide tight upper bounds, and describe how the value of$M(n)$enables one to construct efficiently a Huffman code in the case of uniform probability distribution of the codewords. Peter Horák, Viliam Hromada, Otokar Grosek |
IEEE Trans. Inf. Theory | 3 |
| 2012 | On quasigroups with few associative triples
Otokar Grosek, Peter Horák |
Des. Codes Cryptogr. | 1 |
| 2004 | On Non-Polynomial Latin Squares
Otokar Grosek, Peter Horák, Tran van Trung |
Des. Codes Cryptogr. | 1 |