Demo Data from SIGIR 2026 / reviewers in the wild / expert
M. J. McDonnell
dblp:262/4268
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1976
—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 |
Information theory · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing › signal recovery
deconvolution |
0.0 | 1 | 1976 | A sampling function appropriate for deconvolution (Corresp.) · IEEE Trans. Inf. Theory 1976 |
Information theory › signal processing
sampling theory |
0.0 | 1 | 1976 | A sampling function appropriate for deconvolution (Corresp.) · IEEE Trans. Inf. Theory 1976 |
Information theory › signal processing › sampling theory
sub-nyquist sampling |
0.0 | 1 | 1976 | A sampling function appropriate for deconvolution (Corresp.) · IEEE Trans. Inf. Theory 1976 |
Methods — techniques the papers use, named apart from their topics
sampling theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1976 | A sampling function appropriate for deconvolution (Corresp.)abstractWe present a sampling theory, in one and two dimensions, which is appropriate for deconvolution problems. Our concern is with the possibility of sampling at a rate lower than the Nyquist rate. A new criterion for choosing sampling rates is introduced. M. J. McDonnell |
IEEE Trans. Inf. Theory | 1 |