Demo Data from EDBT 2026 / reviewers in the wild / expert
Arthur J. Collmeyer
dblp:78/4743
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1970
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 |
Mathematical optimization · 50% Quantum computing and quantum information · 50% | |
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Quantum computing and quantum information › quantum estimation
amplitude estimation |
0.0 | 1 | 1970 | Estimating the amplitude of a sinusoid from noisy random samples (Corresp.) · IEEE Trans. Inf. Theory 1970 |
Mathematical optimization
statistical estimation |
0.0 | 1 | 1970 | Estimating the amplitude of a sinusoid from noisy random samples (Corresp.) · IEEE Trans. Inf. Theory 1970 |
Methods — techniques the papers use, named apart from their topics
mean squared error analysis · 0.0maximum likelihood estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1970 | Estimating the amplitude of a sinusoid from noisy random samples (Corresp.)abstractThe problem of estimating the amplitude of a sinusoid from noisy random samples is examined. The maximum-likelihood procedure, applied in the strong-signal case, yields a simple (albeit nonlinear) estimate. The mean-squared estimation error is obtained as a function of the sample size as well as the signal-to-noise ratio. Arthur J. Collmeyer, Someshwar C. Gupta |
IEEE Trans. Inf. Theory | 1 |