Demo Data from SIGIR 2026 / reviewers in the wild / expert
Thomas L. Graff
dblp:138/6788
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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.
| Computer networks
1 paper |
Physical-layer communications · 33% Internet architecture and protocols · 33% Network management and operations · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › error performance
error performance monitoring |
0.0 | 1 | 1994 | In-service monitoring methods-better ways to assure service quality of digital transmission · IEEE J. Sel. Areas Commun. 1994 |
Internet architecture and protocols
quality of service |
0.0 | 1 | 1994 | In-service monitoring methods-better ways to assure service quality of digital transmission · IEEE J. Sel. Areas Commun. 1994 |
Network management and operations › quality of service management
service quality assurance |
0.0 | 1 | 1994 | In-service monitoring methods-better ways to assure service quality of digital transmission · IEEE J. Sel. Areas Commun. 1994 |
Methods — techniques the papers use, named apart from their topics
errored second analysis · 0.0anomaly detection · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | In-service monitoring methods-better ways to assure service quality of digital transmissionabstractThis paper focuses on how transmission error performance can be evaluated by parameters such as errored seconds (ES) and severely errored seconds (SES), under in-service conditions. Currently, attention is being paid to In-Service Monitoring (ISM) as an effective measurement technique for the error performance in digital networks. So the paper, first of all, overviews error performance parameters and shows the concept of ISM. It next discusses estimation methods for the error performance of digital channels by using information on anomaly and defect events in transmission systems. Furthermore, the paper refers to the potential usage of ISM for service quality estimation and performance assurance.> Naoshi Sato, Koichi Asatani, Hideyo Murakami, Robert E. Mallon, Susan R. Hughes, Thomas L. Graff |
IEEE J. Sel. Areas Commun. | 6 |