Demo Data from EDBT 2026 / reviewers in the wild / expert
John Stanley
dblp:65/9263
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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.
| Computer graphics and multimedia
1 paper |
Rendering · 56% Computer animation and physical simulation · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
animation systems |
0.0 | 1 | 1978 | A sensor simulation and animation system · SIGGRAPH 1978 |
Rendering
hidden surface removal |
0.0 | 1 | 1978 | A sensor simulation and animation system · SIGGRAPH 1978 |
Methods — techniques the papers use, named apart from their topics
textured shading · 0.0list priority hidden surface algorithm · 0.0aliasing control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Viewpoint Paper: E-Prescribing Collaboration in Massachusetts: Early Experiences from Regional Prescribing ProjectsabstractMassachusetts payers and providers have encouraged clinician usage of e-Prescribing technology to improve patient safety, enhance office practice efficiencies, and reduce medical costs. This report describes three early pilot e-Prescribing projects as case studies. These projects identified the e-Prescribing needs of clinicians, illustrated key issues that made implementation difficult, and clarified the impact of various types of functionality. The authors identified ten key barriers: (1) previous negative technology experiences, (2) initial and long-term cost, (3) lost productivity, (4) competing priorities, (5) change management issues, (6) interoperability limitations, (7) information technology (IT) requirements, (8) standards limitations, (9) waiting for an "all-in-one solution," and (10) confusion about competing product offerings including hospital/Integrated Delivery System (IDN)-sponsored projects. In Massachusetts, regional projects have helped to address these barriers, and e-Prescribing activities are accelerating rapidly within the state. John D. Halamka, Meg Aranow, Carl Ascenzo, David W. Bates, Kate Berry, Greg Debor, Jessica Fefferman, John P. Glaser, Jerilyn Heinold, John Stanley, Diane L. Stone, Thomas E. Sullivan, Micky Tripathi, Bruce Wilkinson |
J. Am. Medical Informatics Assoc. | 10 |
| 1978 | A sensor simulation and animation systemabstractA shaded computer graphics system for sensor simulation and animation must possess extensive capabilities. Sensor simulation involves scenes that are viewed, environments that produce tones in the scenes, and sensors that image the scenes. Animation centers on image generation, but data input, motion specification, and tone specification routines are very important for an effective system.A unique system has been developed that models a variety of scenes, environments, and sensors. It possesses a balance of data input, motion and tone specification, and frame generation routines. The system possesses several user languages for data input. User defined sections of the scene can move. Visible, infrared, laser radar, and radar sensors have been modeled. The frame generator possesses advanced aliasing controls, textured shading, and a very fast list priority hidden surface algorithm. The system is used as a test bed for training simulators and sensor-based system simulation. Timothy Zimmerlin, John Stanley, Warren Stone |
SIGGRAPH | 2 |