H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 53 Citations 8,751 346 World Ranking 2409 National Ranking 106

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Gene

Artificial intelligence, Mobile robot, Computer vision, Evolutionary algorithm and Data mining are his primary areas of study. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. The concepts of his Mobile robot study are interwoven with issues in Simulation and Motion control.

As part of the same scientific family, Andreas Zell usually focuses on Computer vision, concentrating on Simultaneous localization and mapping and intersecting with Reference image and Feature based. His studies in Evolutionary algorithm integrate themes in fields like Multi-objective optimization, Point, Theoretical computer science and Fitness function. His Data mining study integrates concerns from other disciplines, such as Similarity, SBML, Support vector machine, Systems biology and Cluster analysis.

His most cited work include:

  • Simulation neuronaler Netze (330 citations)
  • SNNS (Stuttgart Neural Network Simulator) (179 citations)
  • Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle (153 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, Mobile robot, Robot and Pattern recognition. Andreas Zell frequently studies issues relating to Machine learning and Artificial intelligence. Computer vision is closely attributed to Simultaneous localization and mapping in his work.

His biological study deals with issues like Control theory, which deal with fields such as Model predictive control. His Robot research is multidisciplinary, incorporating perspectives in Ball and Simulation. His study focuses on the intersection of Support vector machine and fields such as Data mining with connections in the field of Cluster analysis.

He most often published in these fields:

  • Artificial intelligence (49.30%)
  • Computer vision (26.96%)
  • Mobile robot (21.13%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (49.30%)
  • Computer vision (26.96%)
  • Robot (18.11%)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Robot, Mobile robot and Algorithm. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His study in Computer vision is interdisciplinary in nature, drawing from both Simultaneous localization and mapping, Visual odometry and Benchmark.

His Robot research integrates issues from Ball, Simulation, Human–computer interaction and Modular design. His study looks at the relationship between Mobile robot and topics such as Motion planning, which overlap with Obstacle avoidance. He works mostly in the field of Algorithm, limiting it down to topics relating to Occupancy grid mapping and, in certain cases, Matching, as a part of the same area of interest.

Between 2014 and 2021, his most popular works were:

  • Multi-camera visual SLAM for autonomous navigation of micro aerial vehicles (45 citations)
  • A Distributed Control Approach to Formation Balancing and Maneuvering of Multiple Multirotor UAVs (27 citations)
  • Optimizing recurrent reservoirs with neuro-evolution (22 citations)

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

  • Artificial intelligence
  • Machine learning
  • Gene

His primary scientific interests are in Artificial intelligence, Computer vision, Robot, Mobile robot and Robustness. Andreas Zell has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. In most of his Computer vision studies, his work intersects topics such as Curve fitting.

His research in Robot intersects with topics in Convergence, Multi-agent system, Simulation and Stability theory. His study in Mobile robot is interdisciplinary in nature, drawing from both Identification, Lookup table, CAD, Particle filter and Structured light. His work in Particle filter addresses issues such as Probabilistic logic, which are connected to fields such as Data mining.

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

Simulation neuronaler Netze

Andreas Zell.
(1997)

502 Citations

SNNS (Stuttgart Neural Network Simulator)

Andreas Zell;Niels Mache;Ralf Hübner;Günter Mamier.
(1994)

402 Citations

Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle

Karl Engelbert Wenzel;Andreas Masselli;Andreas Zell.
Journal of Intelligent and Robotic Systems (2011)

228 Citations

Preanalytical Aspects and Sample Quality Assessment in Metabolomics Studies of Human Blood

Peiyuan Yin;Andreas Peter;Holger Franken;Xinjie Zhao.
Clinical Chemistry (2013)

223 Citations

An Onboard Monocular Vision System for Autonomous Takeoff, Hovering and Landing of a Micro Aerial Vehicle

Shaowu Yang;Sebastian A. Scherer;Andreas Zell.
Journal of Intelligent and Robotic Systems (2013)

183 Citations

Optimal assignment kernels for attributed molecular graphs

Holger Fröhlich;Jörg K. Wegner;Florian Sieker;Andreas Zell.
international conference on machine learning (2005)

182 Citations

Locating Biologically Active Compounds in Medium-Sized Heterogeneous Datasets by Topological Autocorrelation Vectors: Dopamine and Benzodiazepine Agonists

Henri Bauknecht;Andreas Zell;Harald Bayer;Paul Levi.
Journal of Chemical Information and Computer Sciences (1996)

180 Citations

Vibration-based Terrain Classification Using Support Vector Machines

Christian Weiss;Holger Frohlich;Andreas Zell.
intelligent robots and systems (2006)

172 Citations

Large-scale generation of computational models from biochemical pathway maps

Finja Büchel;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek.
arXiv: Molecular Networks (2013)

169 Citations

Evolutionary Algorithms and the Cardinality Constrained Portfolio Optimization Problem

Felix Streichert;Holger Ulmer;Andreas Zell.
(2004)

145 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.

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