Joshua U. Turner · VLDB 2026 Research

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 10 · 4 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 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 graphics and multimedia 4 papers		Geometric modeling and processing · 100%
Computer architecture, parallel and distributed computing, and storage systems 1 paper		Electronic design automation · 100%
Interdisciplinary, comprehensive, and emerging computing 1 paper		Computational science and engineering · 100%
Artificial intelligence 1 paper		Robot manipulation · 100%
Theoretical computer science 1 paper		Mathematical optimization · 100%
Human-computer interaction and pervasive computing 1 paper		User interface design and tools · 77% Interaction techniques and input · 23%

Topics — the 5 heaviest of 10, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Computational science and engineering › engineering design tolerance analysis	1	1995	Review of statistical approaches to tolerance analysis · Comput. Aided Des. 1995
Geometric modeling and processing › computer-aided design assembly modeling	1	1994	Towards modelling of assemblies for product design · Comput. Aided Des. 1994
Geometric modeling and processing › computer-aided design › tolerancing geometric tolerancing	1	1993	Representational primitives for geometric tolerancing · Comput. Aided Des. 1993
Mathematical optimization gradient estimation	1	1996	Estimating gradients for statistical tolerance synthesis · Comput. Aided Des. 1996
Geometric modeling and processing product design	1	1994	Towards modelling of assemblies for product design · Comput. Aided Des. 1994

Methods — techniques the papers use, named apart from their topics

monte-carlo variance reduction · 0.0geometric constraint solving · 0.0constraint reduction · 0.0statistical analysis · 0.0geometric tolerancing · 0.0

Year	Publication	Venue	Position
1997	Using Monte-Carlo variance reduction in statistical tolerance synthesis Victor J. Skowronski, Joshua U. Turner	Comput. Aided Des.	2
1996	Estimating gradients for statistical tolerance synthesis Victor J. Skowronski, Joshua U. Turner	Comput. Aided Des.	2
1995	Review of statistical approaches to tolerance analysis Swami D. Nigam, Joshua U. Turner	Comput. Aided Des.	2
1994	Towards modelling of assemblies for product design Rajneet Sodhi, Joshua U. Turner	Comput. Aided Des.	2
1994	Relative positioning of variational part models for design analysis Rajneet Sodhi, Joshua U. Turner	Comput. Aided Des.	2
1994	Special Issue: Solid Modeling '93 Joshua U. Turner, Jarek Rossignac	Comput. Aided Des.	1
1993	Representational primitives for geometric tolerancing James Guilford, Joshua U. Turner	Comput. Aided Des.	2
1992	Constraint representation and reduction in assembly modeling and analysis abstract Uniform representation for assembly constraints that applies to a wide variety of constraint relations given in the literature is given. A systematic procedure for constraint reduction is also given: if two parts or subassemblies are related by multiple constraints, the constraint reduction procedure computes a single net constraint having the same effect. Three broad applications of the constraint representation and constraint reduction methods to problems in assembly modeling and tolerancing are discussed.> Joshua U. Turner, Srikanth Subramaniam, Suvajit Gupta	IEEE Trans. Robotics Autom.	1
1990	Relative positioning of parts in assemblies using mathematical programming Joshua U. Turner	Comput. Aided Des.	1
1987	Tolerances in computer-aided geometric design Joshua U. Turner, Michael J. Wozny	Vis. Comput.	1
1984	A programmer's interface to graphics dynamics abstract The term “graphics dynamics” is used in this paper to describe a capability which permits the application programmer to specify a relationship between various graphics input devices and aspects of the graphics output presentation. Subsequent use of the input devices results in continuous real-time changes to the picture. An experimental graphics system is described, in which a powerful programmer's interface to graphics dynamics was implemented. This interface appears suitable for use as an extension to any of the existing standards and standards proposals, including, CORE, GKS, and PHIGS. Joshua U. Turner	SIGGRAPH	1