Demo Data from SIGIR 2026 / reviewers in the wild / expert
Mauro Stramazzotti
dblp:89/8707
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 |
Network performance modeling · 100% | |
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
network modeling |
0.1 | 1 | 2009 | Comments on "Probability Distributions for the Number of Radio Transceivers which can Communicate with One Another" · IEEE Trans. Commun. 2009 |
Information theory › probability theory
stochastic geometry |
0.0 | 1 | 2009 | Comments on "Probability Distributions for the Number of Radio Transceivers which can Communicate with One Another" · IEEE Trans. Commun. 2009 |
Methods — techniques the papers use, named apart from their topics
probability theory · 0.2poisson point process · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Comments on "Probability Distributions for the Number of Radio Transceivers which can Communicate with One Another"abstractWe discuss the correctness of one of the main results of about the probability density function of the distance between two audible nodes in an infinite 2-dimensional scenario. We prove that result is wrong and derive a more general expression, which is valid for an infinite d-dimensional area. It is worth noting that, although the results on the distribution of the distance between two nodes are wrong, the other results and in particular the fact that the number of audible nodes in an arbitrary area is a Poisson r.v. is correct. Alberto Zanella, Mauro Stramazzotti, Flavio Fabbri, Enrica Salbaroli, Davide Dardari, Roberto Verdone |
IEEE Trans. Commun. | 2 |