Demo Data from EDBT 2026 / reviewers in the wild / expert
Chris Barker
dblp:61/4135
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 |
Logic in computer science · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems
control operators |
0.1 | 1 | 2009 | Wild control operators · POPL 2009 |
Logic in computer science › formal semantics
natural language semantics |
0.1 | 1 | 2009 | Wild control operators · POPL 2009 |
Logic in computer science
program semantics |
0.1 | 1 | 2009 | Wild control operators · POPL 2009 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Wild control operatorsabstractLinguists seek to understand the semantics of expressions in human languages. Certainly there are many natural language expressions--operators in the wild, so to speak--that control evaluation in ways that are familiar from programming languages: just think of the natural-language counterparts of if, unless, while, etc. But in general, how well-behaved are control operators found in the wild? Can we always understand them in terms of familiar programming constructs, or do they go significantly beyond the expressive power of programming languages? Chris Barker |
POPL | 1 |