Demo Data from EDBT 2026 / reviewers in the wild / expert
Niklas Eriksen
dblp:64/3892
· DBLP profile ↗
6ranked-venue papers
5as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 3 first-authorApplied, interdisciplinary, general and emerging computing · 3 · 2 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 67% Computational science and engineering · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › comparative genomics
genome rearrangement |
0.1 | 1 | 2008 | Expected gene-order distances and model selection in bacteria · Bioinform. 2008 |
Computational science and engineering
model selection |
0.1 | 1 | 2008 | Expected gene-order distances and model selection in bacteria · Bioinform. 2008 |
Bioinformatics and computational biology › phylogenetics
phylogenetic inference |
0.1 | 1 | 2008 | Expected gene-order distances and model selection in bacteria · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
method of moments · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Expected gene-order distances and model selection in bacteriaabstractMOTIVATION: The evolutionary distance inferred from gene-order comparisons of related bacteria is dependent on the model. Therefore, it is highly important to establish reliable assumptions before inferring its magnitude. RESULTS: We investigate the patterns of dotplots between species of bacteria with the purpose of model selection in gene-order problems. We find several categories of data which can be explained by carefully weighing the contributions of reversals, transpositions, symmetrical reversals, single gene transpositions and single gene reversals. We also derive method of moments distance estimates for some previously uncomputed cases, such as symmetrical reversals, single gene reversals and their combinations, as well as the single gene transpositions edit distance. Daniel Dalevi, Niklas Eriksen |
Bioinform. | 2 |
| 2008 | Expected number of breakpoints after t random reversals in genomes with duplicate genes
Niklas Eriksen |
Discret. Appl. Math. | 1 |
| 2007 | Reversal and transposition medians
Niklas Eriksen |
Theor. Comput. Sci. | 1 |
| 2002 | Approximating the Expected Number of Inversions Given the Number of Breakpoints
Niklas Eriksen |
WABI | 1 |
| 2002 | (1+epsilon)-Approximation of sorting by reversals and transpositions
Niklas Eriksen |
Theor. Comput. Sci. | 1 |
| 2001 | (1+epsilon)-Approximation of Sorting by Reversals and Transpositions
Niklas Eriksen |
WABI | 1 |