Demo Data from SIGIR 2026 / reviewers in the wild / expert
Peter J. Kahrilas
dblp:166/6011
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-8260-1250ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging 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.
| Computer networks
1 paper |
Wireless sensing and localization · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › radar
radar systems |
0.0 | 1 | 1985 | Multifunction rotating electronically scanned radar (RESR) for air surveillance · Proc. IEEE 1985 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders
Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar |
Artif. Intell. Medicine | 7 |
| 1985 | Multifunction rotating electronically scanned radar (RESR) for air surveillanceabstractThe system technical features of a new class of multifunction rotating electronically scanned radar systems (RESRSs), that electronically scan in both azimuth and elevation while rotating in azimuth, are described in terms of satisfying modern air defense needs. A brief comparison to classical radar solutions is followed by use of an illustrative example to indicate quantitatively as well as qualitatively the advantages inherent in an RESRS design. The concluding portion of the paper contains descriptions and photographs of a modern class of recently fielded RESRSs for tactical air surveillance. David A. Ethington, Peter J. Kahrilas, Gerry D. Wright |
Proc. IEEE | 2 |