Demo Data from EDBT 2026 / reviewers in the wild / expert
H. Lynn Beus
dblp:77/3551
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 |
Algorithms and data structures · 67% Information theory · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithms and data structures › sequence algorithms › sorting
comparison sorting |
0.0 | 1 | 1970 | The Use of Information in Sorting · J. ACM 1970 |
Information theory › information-theoretic limits
information-theoretic lower bounds |
0.0 | 1 | 1970 | The Use of Information in Sorting · J. ACM 1970 |
Algorithms and data structures › sequence algorithms
sorting |
0.0 | 1 | 1970 | The Use of Information in Sorting · J. ACM 1970 |
Methods — techniques the papers use, named apart from their topics
information theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | An improved corner detection algorithm based on chain-coded plane curves
H. Lynn Beus, Steven S. H. Tiu |
Pattern Recognit. | 1 |
| 1982 | On-line recognition of hand-printed Korean characters
Y. H. Huh, H. Lynn Beus |
Pattern Recognit. | 2 |
| 1970 | The Use of Information in SortingabstractThe information-gathering aspect of sorting is considered from a theoretical viewpoint. A large class, R, of sorting algorithms is defined, based on the idea of information use. Properties of this algorithm class are developed, and it is noted that several well-known sorting algorithms are closely related to algorithms in R . The Binary Tree Sort is shown to be in R and to have unique properties in this class. A vector is defined which characterizes the information-gathering efficiency of the algorithms of R . Finally, a more general class of algorithms is defined, and some of the definitions extended to this class. Two intriguing conjectures are given which appear to require graph theory or combinatorial topology for their solution. H. Lynn Beus |
J. ACM | 1 |