2026 Arie E. Kaufman: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	83	911	880	494	475	478	22933

Research.com Recognitions

2017 - Fellow, National Academy of Inventors
2009 - ACM Fellow For contributions to volume visualization and its applications.
1998 - IEEE Fellow For contributions to and leadership in visualization and computer graphics.

Overview

Arie E. Kaufman is affiliated with Stony Brook University in the United States and primarily works in the field of Computer Science. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Computer Graphics and Computer-Aided Design, and Oncology.

The scientist's recent scholarly output includes:

Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification (2022), published in Nature Machine Intelligence
A Survey of Visualization and Analysis in High-Resolution Connectomics (2022), published in Computer Graphics Forum
NeuroConstruct: 3D Reconstruction and Visualization of Neurites in Optical Microscopy Brain Images (2021), published in IEEE Transactions on Visualization and Computer Graphics
3D Virtual Pancreatography (2020), published in IEEE Transactions on Visualization and Computer Graphics
Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies (2023), published in IEEE Transactions on Visualization and Computer Graphics

Frequent co-authors collaborating with Kaufman include:

Saad Nadeem (18 publications)
Shawn Mathew (14 publications)
Saeed Boorboor (12 publications)
Yoonsang Kim (5 publications)
Shreeraj Jadhav (4 publications)

Kaufman has a substantial number of publications in the following venues:

Zenodo (CERN European Organization for Nuclear Research) - 10 publications
IEEE Transactions on Visualization and Computer Graphics - 8 publications
arXiv (Cornell University) - 8 publications
Lecture Notes in Computer Science - 2 publications
Nature Machine Intelligence - 1 publication

Their research topics cover areas such as:

AI in cancer detection
Cell Image Analysis Techniques
Computer Graphics and Visualization Techniques
Advanced Vision and Imaging
Generative Adversarial Networks and Image Synthesis
Image and Video Quality Assessment
Evacuation and Crowd Dynamics

Kaufman has received multiple recognitions in their career, including:

Fellow of the National Academy of Inventors (2017)
ACM Fellow (2009), for contributions to volume visualization and its applications
IEEE Fellow (1998), for contributions to and leadership in visualization and computer graphics

Best Publications

Volume graphics

A. Kaufman;D. Cohen;R. Yagel

768
Citations
GPU Cluster for High Performance Computing

Zhe Fan;Feng Qiu;Arie Kaufman;Suzanne Yoakum-Stover

711
Citations
Volume Visualization

Arie E. Kaufman

707
Citations
Apparatus and Method for Real-Time Volume Processing and Universal Three-Dimensional Rendering

Arie E. Kaufman;Ingmar Bitter;Frank Dachille;Kevin Kreeger

565
Citations
System and method for performing a three-dimensional virtual examination of objects, such as internal organs

Arie E. Kaufman;Zhengrong Liang;Mark R. Wax;Ming Wan

548
Citations
Virtual voyage: interactive navigation in the human colon

Lichan Hong;Shigeru Muraki;Arie Kaufman;Dirk Bartz

516
Citations
Penalized-distance volumetric skeleton algorithm

I. Bitter;A.E. Kaufman;M. Sato

386
Citations
3D scan-conversion algorithms for voxel-based graphics

Arie Kaufman;Eyal Shimony

349
Citations
Generation of transfer functions with stochastic search techniques

Taosong He;Lichan Hong;Arie Kaufman;Hanspeter Pfister

349
Citations
Computer aided visualization, fusion and treatment planning

Zhengrong Liang;Dongqing Chen;Bin Li;Clemente T. Roque

333
Citations
Efficient algorithms for 3D scan-conversion of parametric curves, surfaces, and volumes

Arie Kaufman

332
Citations
3D virtual colonoscopy

Lichan Hong;A. Kaufman;Yi-Chih Wei;A. Viswambharan

326
Citations
Fundamentals of surface voxelization

Daniel Cohen-Or;Arie Kaufman

321
Citations
Volume sculpting

Sidney W. Wang;Arie E. Kaufman

315
Citations
Implementing lattice Boltzmann computation on graphics hardware

Wei Li;Xiaoming Wei;Arie Kaufman

294
Citations
Discrete ray tracing

R. Yagel;D. Cohen;A. Kaufman

276
Citations
Template-Based Volume Viewing

Roni Yagel;Arie E. Kaufman

267
Citations
Cube-4—a scalable architecture for real-time volume rendering

Hanspeter Pfister;Arie Kaufman

248
Citations
Automatic centerline extraction for virtual colonoscopy

Ming Wan;Zhengrong Liang;Qi Ke;Lichan Hong

242
Citations
3D scan-conversion algorithms for voxel-based graphics.

Arie E. Kaufman;Solomon Eyal Shimony

177
Citations
Proceedings of the conference on Visualization '94

Andries van Dam;Nahum Gershon;Carol Hunter;Dan Bergeron

8
Citations

Frequent Co-Authors

Zhengrong Liang Stony Brook University

Klaus Mueller Stony Brook University

Hanspeter Pfister Harvard University

Baoquan Chen Peking University

Lichan Hong Google (United States)

Xianfeng Gu Stony Brook University

Roni Yagel InSightec (Israel)

Cláudio T. Silva New York University

Huamin Qu Hong Kong University of Science and Technology

David Luebke Nvidia (United States)

External Links

Wikipedia of Arie E. Kaufman Personal website of Arie E. Kaufman Google Scholar page

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