Demo Data from EDBT 2026 / reviewers in the wild / expert
Sara Porat
dblp:04/1282
· DBLP profile ↗
9ranked-venue papers
7as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 6 · 6 first-authorArtificial intelligence and machine learning · 2 · 2 first-authorSoftware engineering, systems software and programming languages · 1Human-computer interaction and ubiquitous computing · 1
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.
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% | |
| Theoretical computer science
2 papers |
Automata and formal languages · 82% Logic in computer science · 18% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › social media
enterprise social media |
0.2 | 1 | 2014 | The perception of others: inferring reputation from social media in the enterprise · CSCW 2014 |
Collaborative and social computing
social media |
0.2 | 1 | 2014 | The perception of others: inferring reputation from social media in the enterprise · CSCW 2014 |
Collaborative and social computing
social computing |
0.1 | 1 | 2014 | The perception of others: inferring reputation from social media in the enterprise · CSCW 2014 |
Automata and formal languages › formal grammars
context-free grammar |
0.0 | 2 | 1989 | Fairness in Context-Free Grammars under Every Choice-strategy · Inf. Comput. 1989 Fair Deriviations in Context-Free Grammars · Inf. Control. 1982 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2trace analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | The perception of others: inferring reputation from social media in the enterpriseabstractThe emergence of social media allows people to interact with others all over the world. During interaction, people leave many traces behind that can reveal things about themselves, or about how they perceive others: having many followers may indicate that one is an influencer; forum answers that gain high ranking, are likely to testify for expertise; people who gain high ranking in eCommerce sites are likely to be trustworthy. In this paper, we examine whether public online traces can be used for inferring the reputation of a person as perceived by others in relation to trustworthiness, influence, expertise, and impact. We describe a study performed on indicators of reputation that employees leave in a rich organizational social media platform. We compare different indicators, and report the results of an extensive user study with over 500 participants who provided their perception of thousands of others through a set of hypothetical scenarios. Michal Jacovi, Ido Guy, Shiri Kremer-Davidson, Sara Porat, Neta Aizenbud-Reshef |
CSCW | 4 |
| 2001 | Sealing, Encapsulation, and Mutability
Marina Biberstein, Joseph Gil, Sara Porat |
ECOOP | 3 |
| 1991 | Learning Automata from Ordered Examples
Sara Porat, Jerome A. Feldman |
Mach. Learn. | 1 |
| 1989 | Fairness in Context-Free Grammars under Every Choice-strategy
Sara Porat, Nissim Francez |
Inf. Comput. | 1 |
| 1986 | Full-Commutation and Fair-Termination in Equational (and Combined) Term-Rewriting Systems
Sara Porat, Nissim Francez |
CADE | 1 |
| 1985 | Fairness in Term Rewriting Systems
Sara Porat, Nissim Francez |
RTA | 1 |
| 1985 | Fairness in Context-Free Grammars under Canonical Derivations
Sara Porat, Nissim Francez |
STACS | 1 |
| 1984 | Towards a Hierarchy of Nets
Sara Porat, Michael Yoeli |
J. Comput. Syst. Sci. | 1 |
| 1982 | Fair Deriviations in Context-Free Grammars
Sara Porat, Nissim Francez, Shlomo Moran, Shmuel Zaks |
Inf. Control. | 1 |