H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 43 Citations 9,068 231 World Ranking 3941 National Ranking 174

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Optics

David A. Clausi mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Image segmentation and Segmentation. His research in Artificial intelligence intersects with topics in Remote sensing and Markov chain. His studies in Pattern recognition integrate themes in fields like Entropy, Statistic and L-estimator.

His Feature and Edge detection study are his primary interests in Computer vision. His work in the fields of Scale-space segmentation overlaps with other areas such as Initialization. The study incorporates disciplines such as Synthetic aperture radar, Markov process and Image processing in addition to Segmentation.

His most cited work include:

  • An analysis of co-occurrence texture statistics as a function of grey level quantization (703 citations)
  • Designing Gabor filters for optimal texture separability (306 citations)
  • Intra-retinal layer segmentation in optical coherence tomography images (178 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Computer vision, Pattern recognition, Image segmentation and Synthetic aperture radar. His research related to Segmentation, Feature extraction, Image texture, Pixel and Feature might be considered part of Artificial intelligence. His study in Robustness extends to Computer vision with its themes.

His Pattern recognition research is multidisciplinary, incorporating elements of Contextual image classification, Histogram and Salient. His work deals with themes such as k-means clustering and Markov process, which intersect with Image segmentation. The various areas that David A. Clausi examines in his Synthetic aperture radar study include Speckle noise, Speckle pattern and Radar imaging.

He most often published in these fields:

  • Artificial intelligence (76.78%)
  • Computer vision (56.40%)
  • Pattern recognition (42.65%)

What were the highlights of his more recent work (between 2014-2019)?

  • Artificial intelligence (76.78%)
  • Computer vision (56.40%)
  • Pattern recognition (42.65%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pattern recognition, Pixel and Feature extraction. The concepts of his Computer vision study are interwoven with issues in Monte Carlo method and Reflectivity. His work deals with themes such as Image registration, Sampling and Histogram, which intersect with Pattern recognition.

His work in Pixel tackles topics such as Spectral density which are related to areas like Acoustics, Near-infrared spectroscopy and Sensor fusion. His Feature extraction study combines topics in areas such as Text mining, Computation and Decision support system. His Synthetic aperture radar research is multidisciplinary, incorporating perspectives in Classifier and Speckle noise.

Between 2014 and 2019, his most popular works were:

  • Lung Nodule Classification Using Deep Features in CT Images (168 citations)
  • Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study (82 citations)
  • High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description (66 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Optics

David A. Clausi mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Waveform. His studies in Artificial intelligence integrate themes in fields like Cancer and Calibration. His work carried out in the field of Computer vision brings together such families of science as Frame and Light-emitting diode.

His studies deal with areas such as Noise and Skin cancer as well as Pattern recognition. David A. Clausi interconnects Transfer of learning, Pose, Feature and Optical flow in the investigation of issues within Feature extraction. His research integrates issues of Segmentation, Manual interpretation and Convolutional neural network in his study of Synthetic aperture radar.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

An analysis of co-occurrence texture statistics as a function of grey level quantization

David A Clausi.
Canadian Journal of Remote Sensing (2002)

1073 Citations

Designing Gabor filters for optimal texture separability

David A. Clausi;M. Ed Jernigan.
Pattern Recognition (2000)

482 Citations

Lung Nodule Classification Using Deep Features in CT Images

Devinder Kumar;Alexander Wong;David A. Clausi.
canadian conference on computer and robot vision (2015)

273 Citations

Unsupervised image segmentation using a simple MRF model with a new implementation scheme

Huawu Deng;D.A. Clausi.
Pattern Recognition (2004)

271 Citations

Design-based texture feature fusion using Gabor filters and co-occurrence probabilities

D.A. Clausi;Huang Deng.
IEEE Transactions on Image Processing (2005)

265 Citations

ARRSI: Automatic Registration of Remote-Sensing Images

A. Wong;D.A. Clausi.
IEEE Transactions on Geoscience and Remote Sensing (2007)

255 Citations

IRGS: Image Segmentation Using Edge Penalties and Region Growing

Qiyao Yu;D.A. Clausi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

246 Citations

Unsupervised segmentation of synthetic aperture Radar sea ice imagery using a novel Markov random field model

Huawu Deng;D.A. Clausi.
IEEE Transactions on Geoscience and Remote Sensing (2005)

245 Citations

Intra-retinal layer segmentation in optical coherence tomography images

Akshaya Mishra;Alexander Wong;Kostadinka Bizheva;David A. Clausi.
Optics Express (2009)

240 Citations

Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery

D.A. Clausi;Bing Yue.
IEEE Transactions on Geoscience and Remote Sensing (2004)

237 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us

Top Scientists Citing David A. Clausi

Alexander Wong

Alexander Wong

University of Waterloo

Publications: 94

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 54

Paul Fieguth

Paul Fieguth

University of Waterloo

Publications: 30

Yong Xia

Yong Xia

Northwestern Polytechnical University

Publications: 15

Shuyuan Yang

Shuyuan Yang

Xidian University

Publications: 13

Wen Yang

Wen Yang

Beijing Institute of Technology

Publications: 12

Sergiu Nedevschi

Sergiu Nedevschi

Technical University of Cluj-Napoca

Publications: 12

Yi-Hsuan Yang

Yi-Hsuan Yang

Academia Sinica

Publications: 12

Serkan Kiranyaz

Serkan Kiranyaz

Qatar University

Publications: 12

Devis Tuia

Devis Tuia

École Polytechnique Fédérale de Lausanne

Publications: 11

Qian Du

Qian Du

Mississippi State University

Publications: 11

Lars Kaleschke

Lars Kaleschke

Alfred Wegener Institute for Polar and Marine Research

Publications: 10

Maoguo Gong

Maoguo Gong

Xidian University

Publications: 10

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 10

Paul L. Rosin

Paul L. Rosin

Cardiff University

Publications: 9

Something went wrong. Please try again later.