EDBT 2026 Demo / reviewers in the wild / expert
Thomas Thornton
dblp:133/7330
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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.
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › software ecosystems
software ecosystem analysis |
0.2 | 1 | 2015 | Evaluating impact in the ROS ecosystem · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
gamification · 0.4ecosystem metrics · 0.4data visualization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Evaluating impact in the ROS ecosystemabstractThe ROS ecosystem is an interconnected web of packages, nodes and people with no efficient means to compare, assess or visualize them. We develop a set of tools consisting of various metrics, a data visualization web app, and an active monitoring system. With these tools, we measure the current state of the ecosystem as well as determine where the community should direct their efforts. We also encourage the community to provide input on potential applications, additional metrics, and further improvements to address the needs of the ROS ecosystem. We incentivize this input by gamifying community contributions to the infrastructure. Encouraging user-driven improvements to the ROS infrastructure through the use of a leaderboard and friendly competition will advance ROS development and community support far into the future. William Curran, Thomas Thornton, Benjamin Arvey, William D. Smart |
ICRA | 2 |
| 1999 | Can computer autoacquisition of medical information meet the needs of the future? A feasibility study in direct computation of the fine grained electronic medical record
James R. Warren, Ben Posey, Thomas Thornton, Pirouz Parang |
AMIA | 3 |