H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 54 Citations 17,125 202 World Ranking 2365 National Ranking 2

Research.com Recognitions

Awards & Achievements

The Science Academy Society of Turkey - Bilim Akademisi Electrical – Electronic Engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Digital watermarking and Image processing. All of his Artificial intelligence and Image quality, Steganalysis, Face, Image segmentation and Histogram investigations are sub-components of the entire Artificial intelligence study. Bulent Sankur works mostly in the field of Image quality, limiting it down to concerns involving Data mining and, occasionally, Balanced histogram thresholding, Cluster analysis, Thresholding and Otsu's method.

His Computer vision research is multidisciplinary, incorporating elements of Independent component analysis and Identification. The concepts of his Pattern recognition study are interwoven with issues in Probability distribution, Feature, Feature, Speech recognition and Steganography. Bulent Sankur combines subjects such as Watermark, Computer security, Sound quality, Signal processing and Message authentication code with his study of Digital watermarking.

His most cited work include:

  • Survey over image thresholding techniques and quantitative performance evaluation (3536 citations)
  • Bosphorus Database for 3D Face Analysis (572 citations)
  • Steganalysis using image quality metrics (524 citations)

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

Bulent Sankur focuses on Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Feature extraction. His work in Facial recognition system, Image segmentation, Face, Image processing and Segmentation are all subfields of Artificial intelligence research. Image processing is often connected to Image quality in his work.

His Pattern recognition research incorporates themes from Histogram, Digital watermarking and Discrete cosine transform. His Computer vision research integrates issues from Independent component analysis, Facial expression and Identification. His studies in Feature extraction integrate themes in fields like Contextual image classification and Object detection.

He most often published in these fields:

  • Artificial intelligence (64.57%)
  • Pattern recognition (41.72%)
  • Computer vision (38.08%)

What were the highlights of his more recent work (between 2012-2021)?

  • Artificial intelligence (64.57%)
  • Pattern recognition (41.72%)
  • Computer vision (38.08%)

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

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Compressed sensing and Cognitive neuroscience of visual object recognition. Many of his studies on Artificial intelligence apply to Machine learning as well. Bulent Sankur merges Pattern recognition with Sparse matrix in his study.

His research in the fields of Face overlaps with other disciplines such as Metric. His study on Compressed sensing also encompasses disciplines like

  • Information hiding which connect with Encryption,
  • Signal reconstruction together with Contextual image classification, Feature, Feature vector, Watermark embedding and Watermark algorithm,
  • Digital watermarking and related Decoding methods, Noise, L1 minimization and Data mining,
  • Signal which intersects with area such as Nonlinear system and Steganography. His Cognitive neuroscience of visual object recognition study combines topics in areas such as Identification and Visual dictionary.

Between 2012 and 2021, his most popular works were:

  • A comparative study of face landmarking techniques (85 citations)
  • Evaluation of video activity localizations integrating quality and quantity measurements (46 citations)
  • A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images (24 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Machine learning, Feature extraction, Pattern recognition and Computer vision. The study incorporates disciplines such as Algorithm, Measure and Receiver operating characteristic in addition to Artificial intelligence. His study looks at the intersection of Machine learning and topics like Categorization with Biometrics, Precision and recall, Object, Activity recognition and Pattern recognition.

As part of one scientific family, he deals mainly with the area of Feature extraction, narrowing it down to issues related to the Iterative reconstruction, and often Scale-invariant feature transform, Classifier, Pixel, Bag-of-words model in computer vision and Histogram. The various areas that Bulent Sankur examines in his Pattern recognition study include Signal reconstruction and Compressed sensing. His biological study spans a wide range of topics, including Kanade–Lucas–Tomasi feature tracker and Feature.

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.

Best Publications

Survey over image thresholding techniques and quantitative performance evaluation

Mehmet Sezgin;Bu¨lent Sankur.
Journal of Electronic Imaging (2004)

5646 Citations

Statistical evaluation of image quality measures

Ismail Avcibas;Bulent Sankur;Khalid Sayood.
Journal of Electronic Imaging (2002)

837 Citations

Bosphorus Database for 3D Face Analysis

Arman Savran;Neşe Alyüz;Hamdi Dibeklioğlu;Oya Çeliktutan.
Biometrics and Identity Management (2008)

819 Citations

Steganalysis using image quality metrics

I. Avcibas;N. Memon;B. Sankur.
IEEE Transactions on Image Processing (2003)

711 Citations

Shape-based hand recognition

E. Yoruk;E. Konukoglu;B. Sankur;J. Darbon.
IEEE Transactions on Image Processing (2006)

390 Citations

Relevance of watermarking in medical imaging

G. Coatrieux;H. Maitre;B. Sankur;Y. Rolland.
ieee international conference on information technology and applications in biomedicine (2000)

368 Citations

Image steganalysis with binary similarity measures

I. Avcibas;N. Memon;B. Sankur.
international conference on image processing (2002)

286 Citations

Image steganalysis with binary similarity measures

Ismail Avcibaş;Mehdi Kharrazi;Nasir Memon;Bülent Sankur.
EURASIP Journal on Advances in Signal Processing (2005)

283 Citations

Spatio–Temporal Transform Based Video Hashing

B. Coskun;B. Sankur;N. Memon.
IEEE Transactions on Multimedia (2006)

267 Citations

A Review of Image Watermarking Applications in Healthcare

Gouenou Coatrieux;Laurent Lecornu;Bulent Sankur;Christian Roux.
international conference of the ieee engineering in medicine and biology society (2006)

254 Citations

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