H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 33,937 150 World Ranking 7443 National Ranking 58

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Operating system

His main research concerns Artificial intelligence, Pattern recognition, Multimedia, Image texture and Local binary patterns. In the subject of general Artificial intelligence, his work in Grayscale is often linked to Autoregressive model and Invariant, thereby combining diverse domains of study. His studies deal with areas such as Histogram and Feature as well as Pattern recognition.

His Multimedia study integrates concerns from other disciplines, such as Urban computing, Human–computer interaction, Interface and Provisioning. His Image texture study incorporates themes from Contextual image classification and Algorithm. His work on Texture Descriptor as part of general Local binary patterns research is frequently linked to Invariant, bridging the gap between disciplines.

His most cited work include:

  • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns (11350 citations)
  • A comparative study of texture measures with classification based on featured distributions (5066 citations)
  • Performance evaluation of texture measures with classification based on Kullback discrimination of distributions (830 citations)

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

His primary areas of study are Multimedia, Human–computer interaction, Ubiquitous computing, World Wide Web and Artificial intelligence. His research investigates the connection with Multimedia and areas like Mobile computing which intersect with concerns in Mobile agent, The Internet and Wireless sensor network. The various areas that Timo Ojala examines in his Human–computer interaction study include User interface, Interface and Virtual machine.

His Ubiquitous computing research integrates issues from Urban computing and Software deployment. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition. His studies link Contextual image classification with Image texture.

He most often published in these fields:

  • Multimedia (30.48%)
  • Human–computer interaction (23.53%)
  • Ubiquitous computing (14.97%)

What were the highlights of his more recent work (between 2015-2021)?

  • Human–computer interaction (23.53%)
  • Virtual reality (8.56%)
  • Multimedia (30.48%)

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

Timo Ojala spends much of his time researching Human–computer interaction, Virtual reality, Multimedia, World Wide Web and Augmented reality. The study incorporates disciplines such as Interface, Creativity and Field in addition to Human–computer interaction. His studies in Virtual reality integrate themes in fields like Virtual machine, Object and Visualization.

In his research, Timo Ojala undertakes multidisciplinary study on Multimedia and Interface. His research in the fields of Social media, Web modeling and Web application overlaps with other disciplines such as Virtual city. His research integrates issues of User Research, Novelty and Information sharing in his study of Ubiquitous computing.

Between 2015 and 2021, his most popular works were:

  • VirtualOulu: collaborative, immersive and extensible 3D city model on the web (20 citations)
  • Two real-world case studies on 3D web applications for participatory urban planning (12 citations)
  • Toward Meaningful Engagement with Pervasive Displays (12 citations)

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

  • The Internet
  • Artificial intelligence
  • Operating system

Timo Ojala mostly deals with Human–computer interaction, Multimedia, Participatory design, World Wide Web and Interface. His study in the field of Public displays also crosses realms of Blindness. His research brings together the fields of Rendering and Multimedia.

His work in the fields of World Wide Web, such as Web modeling and Social media, overlaps with other areas such as Skin, Virtual city and Conceptual development. Timo Ojala has included themes like Web application and Download in his Web modeling study. The concepts of his Interface study are interwoven with issues in Fantasy, Process and Layer.

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

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

T. Ojala;M. Pietikainen;T. Maenpaa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

15027 Citations

A comparative study of texture measures with classification based on featured distributions

Timo Ojala;Matti Pietikäinen;David Harwood.
Pattern Recognition (1996)

7389 Citations

Performance evaluation of texture measures with classification based on Kullback discrimination of distributions

T. Ojala;M. Pietikainen;D. Harwood.
international conference on pattern recognition (1994)

1259 Citations

Outex - new framework for empirical evaluation of texture analysis algorithms

T. Ojala;T. Maenpaa;M. Pietikainen;J. Viertola.
international conference on pattern recognition (2002)

729 Citations

Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns

Timo Ojala;Matti Pietikäinen;Topi Mäenpää.
european conference on computer vision (2000)

586 Citations

Rotation-invariant texture classification using feature distributions

Matti Pietikäinen;Timo Ojala;Zelin Xu.
Pattern Recognition (2000)

533 Citations

Unsupervised texture segmentation using feature distributions

Timo Ojala;Matti Pietikäinen.
Pattern Recognition (1999)

510 Citations

Bluetooth and WAP push based location-aware mobile advertising system

Lauri Aalto;Nicklas Göthlin;Jani Korhonen;Timo Ojala.
international conference on mobile systems, applications, and services (2004)

465 Citations

Texture discrimination with multidimensional distributions of signed gray-level differences

Timo Ojala;Kimmo Valkealahti;Erkki Oja;Matti Pietikäinen.
Pattern Recognition (2001)

330 Citations

A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification

Timo Ojala;Matti Pietikäinen;Topi Mäenpää.
international conference on advances in pattern recognition (2001)

329 Citations

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Best Scientists Citing Timo Ojala

Matti Pietikäinen

Matti Pietikäinen

University of Oulu

Publications: 159

Guoying Zhao

Guoying Zhao

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Loris Nanni

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Abdenour Hadid

Abdenour Hadid

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Andreas Uhl

Andreas Uhl

University of Salzburg

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Christoph Busch

Christoph Busch

Norwegian University of Science and Technology

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U. Rajendra Acharya

U. Rajendra Acharya

Ngee Ann Polytechnic

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Maja Pantic

Maja Pantic

Imperial College London

Publications: 44

Stan Z. Li

Stan Z. Li

Chinese Academy of Sciences

Publications: 42

Yunhong Wang

Yunhong Wang

Beihang University

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Alessandra Lumini

Alessandra Lumini

University of Bologna

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Dacheng Tao

Dacheng Tao

University of Sydney

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Mengjie Zhang

Mengjie Zhang

Victoria University of Wellington

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Richa Singh

Richa Singh

Indian Institute of Technology Jodhpur

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Ricardo da Silva Torres

Ricardo da Silva Torres

Norwegian University of Science and Technology

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Gerald Schaefer

Gerald Schaefer

Loughborough University

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