Demo Data from SIGIR 2026 / reviewers in the wild / expert
Adriana M. Duran Pabon
dblp:389/2375
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-9482-4739ORCID · 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 |
Internet of things and sensor networks · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Smart cities and intelligent transportation › urban sensing
urban environmental monitoring |
0.8 | 1 | 2024 | Poster: Unveiling Urban Emissions from Bangkok Air Monitoring · IMC 2024 |
Internet of things and sensor networks › environmental sensing
air quality monitoring |
0.8 | 1 | 2024 | Poster: Unveiling Urban Emissions from Bangkok Air Monitoring · IMC 2024 |
Internet of things and sensor networks
environmental sensing |
0.8 | 1 | 2024 | Poster: Unveiling Urban Emissions from Bangkok Air Monitoring · IMC 2024 |
Methods — techniques the papers use, named apart from their topics
forecasting · 1.5data analysis · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Poster: Unveiling Urban Emissions from Bangkok Air MonitoringabstractWe investigate how environmental data collected from a low-cost, distributed Internet-of-Things platform can be used to identify factors affecting air quality in highly dense urban environments. In this work, we focus on the the case of Bangkok. We use data collected from the SEA-HAZEMON platform to analyze the incidence of several parameters on PMx level and assess its potential to forecast CO2 emission. Teeratat Bunsantrakul, Karl M. Christiaens, Adriana M. Duran Pabon, Bomi I. Owoka, Maria S. Velasco Garcia, Wangkun Xu, Daphné Tuncer |
IMC | 3 |