2026 Michael Lindenbaum: 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	37	10605	10307	171	165	133	7061

Michael Lindenbaum publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Lindenbaum sits on this spectrum.

32 publications 991+

This scientist: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Lindenbaum D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Lindenbaum sits on this spectrum.

30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Michael Lindenbaum is affiliated with the Technion - Israel Institute of Technology in Israel. Their research primarily spans the fields of Earth and Planetary Sciences as well as Computer Science, with a significant focus on Oceanography, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, and Geometry and Topology as notable subfields of study.

Their work addresses a variety of topics including Underwater Acoustics Research, Ocean Waves and Remote Sensing, Oceanographic and Atmospheric Processes, Medical Image Segmentation Techniques, Visual Attention and Saliency Detection, Advanced Neural Network Applications, and Adversarial Robustness in Machine Learning.

Michael Lindenbaum has contributed to several papers across reputable venues:

Efficient machine learning method for spatio-temporal water surface waves reconstruction from polarimetric images, 2023, Measurement Science and Technology
Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array, 2025, Data in Brief
Assessing Hierarchies by Their Consistent Segmentations, 2024, Journal of Mathematical Imaging and Vision
Wave (from) Polarized Light Learning (Wpll) Method: High Resolution Spatio-Temporal Measurements of Water Surface Waves in Laboratory Setups, 2024, SSRN Electronic Journal
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task, 2023, arXiv (Cornell University)

Frequent publication venues for Michael Lindenbaum include:

arXiv (Cornell University)
Measurement Science and Technology
Data in Brief
Journal of Mathematical Imaging and Vision
SSRN Electronic Journal

Collaboration plays a notable role in their research, with frequent co-authors being Noam Ginio, Dan Liberzon, Barak Fishbain, Thomas Dagès, and Alfred M. Bruckstein. These collaborations indicate a strong engagement with peers in both experimental and computational aspects of their fields.

Best Publications

The farthest point strategy for progressive image sampling

Y. Eldar;M. Lindenbaum;M. Porat;Y.Y. Zeevi

699
Citations
Sequential Karhunen-Loeve basis extraction and its application to images

A. Levey;M. Lindenbaum

577
Citations
Sequential Karhunen-Loeve basis extraction and its application to images

A. Levy;M. Lindenbaum

522
Citations
Distributed covering by ant-robots using evaporating traces

I.A. Wagner;M. Lindenbaum;A.M. Bruckstein

373
Citations
On Gabor's contribution to image enhancement

Michael Lindenbaum;M. Fischer;Alfred M. Bruckstein

355
Citations
Selective Sampling for Nearest Neighbor Classifiers

Michael Lindenbaum;Shaul Markovitch;Dmitry Rusakov

353
Citations
On the metric properties of discrete space-filling curves

C. Gotsman;M. Lindenbaum

290
Citations
3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks

Yizhak Ben-Shabat;Michael Lindenbaum;Anath Fischer

239
Citations
Mean Shift tracking with multiple reference color histograms

Ido Leichter;Michael Lindenbaum;Ehud Rivlin

223
Citations
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling

T. Avraham;M. Lindenbaum

186
Citations
Geometric voting algorithm for star trackers

M. Kolomenkin;S. Pollak;I. Shimshoni;M. Lindenbaum

184
Citations
Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis

R Sandler;M Lindenbaum

182
Citations
Learning implicit transfer for person re-identification

Tamar Avraham;Ilya Gurvich;Michael Lindenbaum;Shaul Markovitch

150
Citations
A generic grouping algorithm and its quantitative analysis

A. Amir;M. Lindenbaum

144
Citations
Efficiently searching a graph by a smell-oriented vertex process

Israel A. Wagner;Michael Lindenbaum;Alfred M. Bruckstein

116
Citations
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces

Ilan Shimshoni;Yael Moses;Michael Lindenbaum

92
Citations
Learning distributions by their density levels: a paradigm for learning without a teacher

Shai Ben-David;Michael Lindenbaum

91
Citations
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks

Yizhak Ben-Shabat;Michael Lindenbaum;Anath Fischer

90
Citations
MAC Versus PC: Determinism and Randomness as Complementary Approaches to Robotic Exploration of Continuous Unknown Domains

Israel A. Wagner;Michael Lindenbaum;Alfred M. Bruckstein

90
Citations
Tracking by Affine Kernel Transformations Using Color and Boundary Cues

I. Leichter;M. Lindenbaum;E. Rivlin

84
Citations
2009 IEEE 12th International Conference on Computer Vision (ICCV)

Stephen Gould;Richard Fulton;Daphne Koller;Ido Leichter

49
Citations

Frequent Co-Authors

Alfred M. Bruckstein Technion – Israel Institute of Technology

Shaul Markovitch Technion – Israel Institute of Technology

Ehud Rivlin Technion – Israel Institute of Technology

Shai Ben-David University of Waterloo

Arnon Amir IBM (United States)

Yehoshua Y. Zeevi Technion – Israel Institute of Technology

David W. Jacobs University of Maryland, College Park

Craig Gotsman New Jersey Institute of Technology

Nahum Kiryati Tel Aviv University

Arnold W. M. Smeulders University of Amsterdam

External Links

Personal website of Michael Lindenbaum Google Scholar page

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