D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 7,604 220 World Ranking 4535 National Ranking 64

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

Alexandru Telea mostly deals with Artificial intelligence, Computer vision, Algorithm, Visualization and Skeletonization. His Artificial intelligence research includes themes of Smoothing and Machine learning. His work deals with themes such as Representation, Surface, Geodesic and Maxima and minima, which intersect with Computer vision.

The concepts of his Algorithm study are interwoven with issues in Timestamp, Level set, Iterative reconstruction and Constrained optimization. His work on Data visualization and Graph drawing as part of general Visualization study is frequently linked to Flow visualization and Visual clutter, therefore connecting diverse disciplines of science. His Skeletonization course of study focuses on Medial axis and Polygon mesh and Graphics processing unit.

His most cited work include:

  • An Image Inpainting Technique Based on the Fast Marching Method (834 citations)
  • An augmented Fast Marching Method for computing skeletons and centerlines (153 citations)
  • Visualizing the Hidden Activity of Artificial Neural Networks (149 citations)

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

His primary areas of study are Artificial intelligence, Visualization, Computer vision, Software visualization and Software engineering. His research integrates issues of Machine learning and Pattern recognition in his study of Artificial intelligence. In his research on the topic of Visualization, Scalability is strongly related with Theoretical computer science.

His Software visualization study incorporates themes from Source code and Static program analysis. The Software engineering study combines topics in areas such as Software framework, Software maintenance, Software development and Software analytics. His work is dedicated to discovering how Voxel, Surface are connected with Algorithm and Skeleton and other disciplines.

He most often published in these fields:

  • Artificial intelligence (30.31%)
  • Visualization (28.61%)
  • Computer vision (17.85%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (30.31%)
  • Pattern recognition (9.07%)
  • Dimensionality reduction (6.52%)

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

Alexandru Telea spends much of his time researching Artificial intelligence, Pattern recognition, Dimensionality reduction, Visualization and Computer vision. His Machine learning research extends to Artificial intelligence, which is thematically connected. His Pattern recognition research is multidisciplinary, relying on both Scalability and Skeletonization.

His studies in Dimensionality reduction integrate themes in fields like Stability, Multivariate statistics, Information visualization and Data mining. His research brings together the fields of Theoretical computer science and Visualization. His biological study spans a wide range of topics, including Surface and Computer graphics.

Between 2016 and 2021, his most popular works were:

  • Visualizing the Hidden Activity of Artificial Neural Networks (149 citations)
  • Graph Layouts by t-SNE (37 citations)
  • State of the Art in Edge and Trail Bundling Techniques (36 citations)

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

  • Artificial intelligence
  • Geometry
  • Software

His scientific interests lie mostly in Artificial intelligence, Visualization, Visual analytics, Dimensionality reduction and Data visualization. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Computer vision and Pattern recognition. His Visualization study frequently intersects with other fields, such as Theoretical computer science.

His Visual analytics research incorporates elements of Graph drawing and Mean-shift. Alexandru Telea interconnects Graph, Stability, Projection, Information visualization and Feature selection in the investigation of issues within Dimensionality reduction. His Data visualization study combines topics from a wide range of disciplines, such as Software and Software evolution.

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

An Image Inpainting Technique Based on the Fast Marching Method

AC Alexandru Telea.
Journal of Graphics Tools (2004)

1257 Citations

Data Visualization: Principles and Practice

Alexandru C. Telea.
(2007)

312 Citations

An augmented Fast Marching Method for computing skeletons and centerlines

Alexandru Telea;Jarke J. van Wijk.
Proceedings of the symposium on Data Visualisation 2002 (2002)

226 Citations

Visualizing the Hidden Activity of Artificial Neural Networks

Paulo E. Rauber;Samuel G. Fadel;Alexandre X. Falcao;Alexandru C. Telea.
IEEE Transactions on Visualization and Computer Graphics (2017)

223 Citations

Simplified representation of vector fields

Alexandru Telea;Jarke J. van Wijk.
ieee visualization (1999)

206 Citations

Skeleton-Based Edge Bundling for Graph Visualization

O. Ersoy;C. Hurter;Fernando V. Paulovich;G. Cantareiro.
ieee visualization (2011)

200 Citations

CVSscan: visualization of code evolution

Lucian Voinea;Alex Telea;Jarke J. van Wijk.
software visualization (2005)

193 Citations

Graph Bundling by Kernel Density Estimation

C. Hurter;O. Ersoy;A. Telea.
eurographics (2012)

172 Citations

3D skeletons: a state-of-the-art report

Andrea Tagliasacchi;Thomas Delame;Michela Spagnuolo;Nina Amenta.
Computer Graphics Forum (2016)

156 Citations

Image-based edge bundles: simplified visualization of large graphs

A. Telea;O. Ersoy.
ieee vgtc conference on visualization (2010)

138 Citations

Best Scientists Citing Alexandru Telea

Daniel Weiskopf

Daniel Weiskopf

University of Stuttgart

Publications: 59

Thomas Ertl

Thomas Ertl

University of Stuttgart

Publications: 35

Jonathan J. Hull

Jonathan J. Hull

Independent Scientist / Consultant, US

Publications: 28

Berna Erol

Berna Erol

Ricoh (Japan)

Publications: 21

Michael Burch

Michael Burch

Eindhoven University of Technology

Publications: 20

Huamin Qu

Huamin Qu

Hong Kong University of Science and Technology

Publications: 18

Kwan-Liu Ma

Kwan-Liu Ma

University of California, Davis

Publications: 18

Tobias Schreck

Tobias Schreck

Graz University of Technology

Publications: 17

Stephen G. Kobourov

Stephen G. Kobourov

University of Arizona

Publications: 16

Oscar Nierstrasz

Oscar Nierstrasz

University of Bern

Publications: 15

Cláudio T. Silva

Cláudio T. Silva

New York University

Publications: 14

Michele Lanza

Michele Lanza

Universita della Svizzera Italiana

Publications: 14

Gennady Andrienko

Gennady Andrienko

Fraunhofer Institute for Intelligent Analysis and Information Systems

Publications: 14

Natalia Andrienko

Natalia Andrienko

Fraunhofer Society

Publications: 14

Helwig Hauser

Helwig Hauser

University of Bergen

Publications: 13

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

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