Demo Data from EDBT 2026 / reviewers in the wild / expert
Jaber Daneshamooz
dblp:368/7207
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0000-0620-976XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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 measurement and analytics · 77% Transport protocols and congestion control · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics › traffic characterization
application traffic characterization |
0.9 | 1 | 2025 | Poster: Uncovering Lesser-Studied RTC Applications using RTP · IMC 2025 |
Transport protocols and congestion control › real-time communication
video conferencing |
0.3 | 1 | 2025 | Poster: Uncovering Lesser-Studied RTC Applications using RTP · IMC 2025 |
Methods — techniques the papers use, named apart from their topics
measurement study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Poster: Uncovering Lesser-Studied RTC Applications using RTPabstractVideo conferencing and, more generally, real-time communications (RTC) applications have become indispensable across domains such as remote work or telemedicine, with new platforms competing for performance and market share. Much of the research to date has focused on understanding how these systems operate and perform under varying network conditions. However, the scale of the ecosystem for RTC applications beyond a handful of key players remains largely understudied and unquantified. Frameworks such as WebRTC have democratized the ability to easily extend an application to support RTC capabilities, resulting in a diverse ecosystem beyond the most commonly studied applications. Sanjay Chandrasekaran, Jaber Daneshamooz, Oliver Michel, Arpit Gupta |
IMC | 2 |