Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jess Marcum
dblp:133/9165
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1960
—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.
| Computer networks
1 paper |
Wireless sensing and localization · 67% Physical-layer communications · 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 › signal detection › detection performance analysis
detection probability |
0.0 | 1 | 1960 | A statistical theory of target detection by pulsed radar · IRE Trans. Inf. Theory 1960 |
Wireless sensing and localization
radar signal processing |
0.0 | 1 | 1960 | A statistical theory of target detection by pulsed radar · IRE Trans. Inf. Theory 1960 |
Wireless sensing and localization › radar signal processing
target detection |
0.0 | 1 | 1960 | A statistical theory of target detection by pulsed radar · IRE Trans. Inf. Theory 1960 |
Methods — techniques the papers use, named apart from their topics
statistical detection theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1960 | A statistical theory of target detection by pulsed radarabstractThis report presents data from which one may obtain the probability that a pulsed-type radar system will detect a given target at any range. This is in contrast to the usual method of obtaining radar range as a single number, which can be taken mathematically to imply that the probability of detection is zero at any range greater than this number, and certainty at any range less than this number. Three variables, which have so far received little quantitative attention in the subject of radar range, are introduced in the theory: l.The time taken to detect the target. 2.The average time interval between false alarms (false indications of targets). 3.The number of pulses integrated. It is shown briefly how the results for pulsed-type systems may be applied in the case of continuous-wave systems. Those concerned with systems analysis problems including radar performance may profitably use this work as one link in a chain involving several probabilities. For instance, the probability that a given aircraft will be detected at least once while flying any given path through a specified model radar network may be calculated using the data presented here as a basis, provided that additional probability data on such things as outage time etc., are available. The theory developed here does not take account of interference such as clutter or man-made static, but assumes only random noise at the receiver input. Also, an ideal type of electronic integrator and detector are assumed. Thus the results are the best that can be obtained under ideal conditions. It is not too difficult, however, to make reasonable assumptions which will permit application of the results to the currently available types of radar. The first part of this report is a restatement of known radar fundamentals and supplies continuity and background for what follows. The mathematical part of the theory is not contained herein, but will be issued subsequently as a Separate report(2a) Jess Marcum |
IRE Trans. Inf. Theory | 1 |