Demo Data from VLDB 2026 / reviewers in the wild / expert
Rom Aschner
dblp:73/8190
· DBLP profile ↗
8ranked-venue papers
5as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorTheory of computation · 2 · 2 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
2 papers |
Network performance modeling · 43% Wireless networking · 25% Physical-layer communications · 25% | |
| Theoretical computer science
2 papers |
Graph algorithms and graph theory · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
network modeling |
0.2 | 1 | 2014 | Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints · ICALP (2) 2014 |
Graph algorithms and graph theory
spanning tree |
0.2 | 1 | 2014 | Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints · ICALP (2) 2014 |
Wireless networking
mobile ad hoc networks |
0.1 | 1 | 2010 | Minimum Power Energy Spanners in Wireless Ad Hoc Networks · INFOCOM 2010 |
Physical-layer communications
power allocation |
0.1 | 1 | 2010 | Minimum Power Energy Spanners in Wireless Ad Hoc Networks · INFOCOM 2010 |
Graph algorithms and graph theory
graph spanners |
0.1 | 1 | 2010 | Minimum Power Energy Spanners in Wireless Ad Hoc Networks · INFOCOM 2010 |
Internet of things and sensor networks
topology control |
0.0 | 1 | 2010 | Minimum Power Energy Spanners in Wireless Ad Hoc Networks · INFOCOM 2010 |
Methods — techniques the papers use, named apart from their topics
geometric constraints · 0.4graph theory · 0.2approximation algorithm · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints
Rom Aschner, Matthew J. Katz |
Algorithmica | 1 |
| 2014 | Exploiting Geometry in the SINR _k Model
Rom Aschner, Gui Citovsky, Matthew J. Katz |
ALGOSENSORS | 1 |
| 2014 | Bounded-Angle Spanning Tree: Modeling Networks with Angular Constraints
Rom Aschner, Matthew J. Katz |
ICALP (2) | 1 |
| 2013 | Symmetric connectivity with directional antennas
Rom Aschner, Matthew J. Katz, Gila Morgenstern |
Comput. Geom. | 1 |
| 2012 | Symmetric Connectivity with Directional Antennas
Rom Aschner, Matthew J. Katz, Gila Morgenstern |
ALGOSENSORS | 1 |
| 2012 | The MST of symmetric disk graphs is light
A. Karim Abu-Affash, Rom Aschner, Paz Carmi, Matthew J. Katz |
Comput. Geom. | 2 |
| 2011 | Minimum power energy spanners in wireless ad hoc networks
A. Karim Abu-Affash, Rom Aschner, Paz Carmi, Matthew J. Katz |
Wirel. Networks | 2 |
| 2010 | Minimum Power Energy Spanners in Wireless Ad Hoc NetworksabstractA power assignment is an assignment of transmission power to each of the nodes of a wireless network, so that the induced communication graph has some desired properties. The cost of a power assignment is the sum of the powers. The energy of a transmission path from node u to node v is the sum of the squares of the distances between adjacent nodes along the path. For a constant t > 1, an energy t-spanner is a graph G', such that for any two nodes u and v, there exists a path from u to v in G', whose energy is at most t times the energy of a minimum-energy path from a ton in the complete Euclidean graph. In this paper, we study the problem of finding a power assignment, such that (i) its induced communication graph is a 'good' energy spanner, and (ii) its cost is 'low'. We show that for any constant t > 1, one can find a power assignment, such that its induced communication graph is an energy t-spanner, and its cost is bounded by some constant times the cost of an optimal power assignment (where the sole requirement is strong connectivity of the induced communication graph). This is a very significant improvement over the best current result due to Shpungin and Segal, presented in last year's conference. A. Karim Abu-Affash, Rom Aschner, Paz Carmi, Matthew J. Katz |
INFOCOM | 2 |