World's Best Scientists 2026 revealed!
Steven J. Gortler

Steven J. Gortler

D-Index & Metrics

Computer Science

D-Index
42
Citations
17973
World Ranking
8145
National Ranking
3489

Research.com Recognitions

  • 1998 - Fellow of Alfred P. Sloan Foundation

Overview

Steven J. Gortler is affiliated with Harvard University in the United States. Their research primarily spans computer science and engineering, with key contributions in several subfields including computer vision and pattern recognition, civil and structural engineering, computer graphics and computer-aided design, computational theory and mathematics, and mechanical engineering.

Their work covers various research topics, notably structural analysis and optimization, computational geometry and mesh generation, advanced materials and mechanics, digital image processing techniques, topological and geometric data analysis, advanced vision and imaging, and neural networks and applications.

Recent papers authored by Steven J. Gortler include:

  • Low-Dimensional Invariant Embeddings for Universal Geometric Learning, 2024, Foundations of Computational Mathematics
  • Realizations of Isostatic Material Frameworks, 2021, arXiv (Cornell University)
  • Globally rigid graphs are fully reconstructible, 2022, Forum of Mathematics Sigma
  • Almost-Rigidity of Frameworks, 2020, Communications on Pure and Applied Mathematics
  • Maximum likelihood thresholds via graph rigidity, 2024, The Annals of Applied Probability

Frequent co-authors collaborating with Steven J. Gortler include:

  • Louis Theran
  • Robert Connelly
  • Daniel Irving Bernstein
  • Miranda Holmes-Cerfon
  • Meera Sitharam

Steven J. Gortler has published extensively in venues such as arXiv (Cornell University), Discrete & Computational Geometry, COMBINATORICA, Discrete Applied Mathematics, and Foundations of Computational Mathematics.

In recognition of their contributions, Steven J. Gortler was awarded the title of Fellow of the Alfred P. Sloan Foundation in 1998.

Best Publications

  • The lumigraph

    Steven J. Gortler;Radek Grzeszczuk;Richard Szeliski;Michael F. Cohen

  • Layered depth images

    Jonathan Shade;Steven Gortler;Li-wei He;Richard Szeliski

  • Image-based visual hulls

    Wojciech Matusik;Chris Buehler;Ramesh Raskar;Steven J. Gortler

  • Unstructured lumigraph rendering

    Chris Buehler;Michael Bosse;Leonard McMillan;Steven Gortler

  • Geometry images

    Xianfeng Gu;Steven J. Gortler;Hugues Hoppe

  • Texture mapping progressive meshes

    Pedro V. Sander;John Snyder;Steven J. Gortler;Hugues Hoppe

  • Dynamically reparameterized light fields

    Aaron Isaksen;Leonard McMillan;Steven J. Gortler

  • Fast exact and approximate geodesics on meshes

    Vitaly Surazhsky;Tatiana Surazhsky;Danil Kirsanov;Steven J. Gortler

  • Determining a vantage point of an image

    Michael F. Cohen;Radek Grzeszczuk

  • A local/global approach to mesh parameterization

    Ligang Liu;Lei Zhang;Yin Xu;Craig Gotsman

  • Multi-chart geometry images

    P. V. Sander;Z. J. Wood;S. J. Gortler;J. Snyder

  • Wavelet radiosity

    Steven J. Gortler;Peter Schröder;Michael F. Cohen;Pat Hanrahan

  • Silhouette clipping

    Pedro V. Sander;Xianfeng Gu;Steven J. Gortler;Hugues Hoppe

  • Hierarchical spacetime control

    Zicheng Liu;Steven J. Gortler;Michael F. Cohen

  • Characterizing generic global rigidity

    Steven J. Gortler;Alexander D. Healy;Dylan P. Thurston

  • Signal-specialized parametrization

    Pedro V. Sander;Steven J. Gortler;John Snyder;Hugues Hoppe

  • Geometry videos: a new representation for 3D animations

    Hector M. Briceño;Pedro V. Sander;Leonard McMillan;Steven Gortler

  • Discrete one-forms on meshes and applications to 3D mesh parameterization

    Steven J. Gortler;Craig Gotsman;Dylan Thurston

  • Equivalences and Separations Between Quantum and Classical Learnability

    Rocco A. Servedio;Steven J. Gortler

  • A new reconstruction filter for undersampled light fields

    J. Stewart;J. Yu;S. J. Gortler;L. McMillan

  • Time critical lumigraph rendering

    Peter-Pike Sloan;Michael F. Cohen;Steven J. Gortler

Frequent Co-Authors

Todd Zickler
Todd Zickler Harvard University
Leonard McMillan
Leonard McMillan University of North Carolina at Chapel Hill
Hugues Hoppe
Hugues Hoppe Google (United States)
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Craig Gotsman
Craig Gotsman New Jersey Institute of Technology
John Snyder
John Snyder Microsoft (United States)
Pedro V. Sander
Pedro V. Sander Hong Kong University of Science and Technology
Ligang Liu
Ligang Liu University of Science and Technology of China
Xianfeng Gu
Xianfeng Gu Stony Brook University
Jingyi Yu
Jingyi Yu ShanghaiTech University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

The landscape of computer science education is rapidly evolving, creating flexible pathways for diverse learners. Many students are now considering online associates programs as an accessible entry point to a technology career. These programs can lay a solid foundation and often lead smoothly to bachelor’s degrees or entry-level tech jobs.

Affordability and accessibility remain key concerns for prospective students. If you are seeking cheap online college classes, there are many accredited institutions that offer quality coursework without high tuition costs. These options help reduce financial stress, making education more attainable.

Academic background shouldn’t be a barrier, either. For those with less-than-perfect grades, the best colleges for low gpa offer supportive environments and flexible admission policies, so you can still pursue your goals.

Moreover, computer science skills are transferable to many high-demand industries. For example, if you’re passionate about sustainability, exploring high-paying jobs with environmental science degree backgrounds can reveal roles that blend technology and environmental stewardship. Expanding your degree options can lead to rewarding and lucrative career pathways.

Best Scientists Citing Steven J. Gortler

Trending Scientists

Recently Published Articles