H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 83 Citations 62,207 468 World Ranking 368 National Ranking 15

Research.com Recognitions

Awards & Achievements

2010 - Member of Academia Europaea

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Programming language

His main research concerns Mathematical optimization, Multi-objective optimization, Evolutionary algorithm, Distributed computing and Embedded system. His Mathematical optimization research incorporates themes from Machine learning and Set. His work deals with themes such as Scalability, Convergence, Function, Optimization problem and Search algorithm, which intersect with Multi-objective optimization.

His Evolutionary algorithm research incorporates elements of Evolutionary computation and Selection. His study on Distributed computing also encompasses disciplines like

  • Scheduling that intertwine with fields like Design space exploration and Multi-core processor,
  • Two-level scheduling and related Fixed-priority pre-emptive scheduling and Earliest deadline first scheduling,
  • Fair-share scheduling that connect with fields like Real-time computing. The Embedded system study combines topics in areas such as Domain, Multiprocessing and Layer.

His most cited work include:

  • Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach (5808 citations)
  • Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (3952 citations)
  • SPEA2: Improving the strength pareto evolutionary algorithm (3517 citations)

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

The scientist’s investigation covers issues in Real-time computing, Distributed computing, Embedded system, Scheduling and Wireless sensor network. His Real-time computing research includes themes of Sensor node and Efficient energy use. Lothar Thiele combines subjects such as Parallel computing, Dynamic priority scheduling and Fair-share scheduling with his study of Distributed computing.

His Embedded system research integrates issues from Software and Energy harvesting. His work carried out in the field of Scheduling brings together such families of science as Energy consumption and Multi-core processor. His Wireless sensor network study combines topics in areas such as Wireless, Key distribution in wireless sensor networks and Wi-Fi array.

He most often published in these fields:

  • Real-time computing (21.89%)
  • Distributed computing (21.39%)
  • Embedded system (18.24%)

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

  • Real-time computing (21.89%)
  • Wireless (9.78%)
  • Wireless sensor network (14.26%)

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

His primary areas of study are Real-time computing, Wireless, Wireless sensor network, Embedded system and Energy harvesting. His Real-time computing study combines topics from a wide range of disciplines, such as Software deployment, Data transmission, Tracing, Sensor node and Convolutional neural network. Lothar Thiele interconnects Testbed, Computer network, Efficient energy use and Cyber-physical system in the investigation of issues within Wireless.

His Cyber-physical system research is multidisciplinary, relying on both Multi-agent system and Distributed computing. His research investigates the link between Embedded system and topics such as Multi-core processor that cross with problems in Channel capacity. His biological study spans a wide range of topics, including Energy supply, Mathematical optimization, Renewable energy and Available energy.

Between 2016 and 2021, his most popular works were:

  • A Survey on Sensor Calibration in Air Pollution Monitoring Deployments (66 citations)
  • Adaptive Real-Time Communication for Wireless Cyber-Physical Systems (47 citations)
  • W-Air: Enabling Personal Air Pollution Monitoring on Wearables (33 citations)

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

  • Operating system
  • Computer network
  • Programming language

His primary areas of investigation include Real-time computing, Wireless, Energy harvesting, Computer network and Wireless sensor network. The study incorporates disciplines such as Wearable computer, Sensor array and Ground truth in addition to Real-time computing. His research integrates issues of Testbed, Efficient energy use, Edge device and Cyber-physical system in his study of Wireless.

His research investigates the connection between Energy harvesting and topics such as Software that intersect with problems in Dynamic priority scheduling, Field-programmable gate array and Available energy. Lothar Thiele has researched Wireless sensor network in several fields, including Energy consumption, Data integrity, Convolutional neural network and Embedded system. The various areas that Lothar Thiele examines in his Energy consumption study include Mathematical optimization, Mobile device, Renewable energy and Statistical model.

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

Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

E. Zitzler;L. Thiele.
IEEE Transactions on Evolutionary Computation (1999)

7982 Citations

SPEA2: Improving the strength pareto evolutionary algorithm

Eckart Zitzler;Marco Laumanns;Lothar Thiele.
Technical Report, Gloriastrasse 35 (2001)

7654 Citations

Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

Eckart Zitzler;Kalyanmoy Deb;Lothar Thiele.
Evolutionary Computation (2000)

5765 Citations

Performance assessment of multiobjective optimizers: an analysis and review

E. Zitzler;L. Thiele;M. Laumanns;C.M. Fonseca.
IEEE Transactions on Evolutionary Computation (2003)

3446 Citations

Performance assessment of multiobjective optimizers: an analysis and review

Eckart Zitzler;Lothar Thiele;Marco Laumanns;Carlos M. Fonseca.
TIK-Report (2002)

3027 Citations

Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study

Eckart Zitzler;Lothar Thiele.
parallel problem solving from nature (1998)

2336 Citations

Scalable Test Problems for Evolutionary Multiobjective Optimization

Kalyanmoy Deb;Lothar Thiele;Marco Laumanns;Eckart Zitzler.
Evolutionary Multiobjective Optimization (2005)

1703 Citations

SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

Eckart Zitzler;Marco Laumanns;Lothar Thiele.
(2002)

1581 Citations

Scalable multi-objective optimization test problems

K. Deb;L. Thiele;M. Laumanns;E. Zitzler.
congress on evolutionary computation (2002)

1486 Citations

Combining convergence and diversity in evolutionary multiobjective optimization

Marco Laumanns;Lothar Thiele;Kalyanmoy Deb;Eckart Zitzler.
Evolutionary Computation (2002)

1477 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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