H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 43 Citations 8,685 341 World Ranking 3877 National Ranking 177

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Computer network

His primary scientific interests are in Distributed computing, Mathematical optimization, Artificial intelligence, Memetic algorithm and Cloud computing. The Distributed computing study combines topics in areas such as Business Process Execution Language, Virtualization, Grid computing, Fixed-priority pre-emptive scheduling and Fair-share scheduling. His Guided Local Search, Local search, Local optimum and Tabu search study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Genetic operator, bridging the gap between disciplines.

His Artificial intelligence study combines topics in areas such as Network topology, Computer vision and Pattern recognition. Bernd Freisleben combines subjects such as Quadratic assignment problem and Local search with his study of Memetic algorithm. He usually deals with Cloud computing and limits it to topics linked to Virtual machine and Live migration.

His most cited work include:

  • Why eve and mallory love android: an analysis of android SSL (in)security (393 citations)
  • Fitness landscape analysis and memetic algorithms for the quadratic assignment problem (386 citations)
  • CARDWATCH: a neural network based database mining system for credit card fraud detection (253 citations)

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

Bernd Freisleben mostly deals with Artificial intelligence, Distributed computing, Grid computing, Cloud computing and Web service. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Computer vision and Pattern recognition. His Distributed computing research also works with subjects such as

  • Virtualization most often made with reference to Virtual machine,
  • Computer network that connect with fields like Wireless ad hoc network.

His Grid computing study deals with the bigger picture of Grid. His Web service research incorporates elements of Workflow and Database. His work deals with themes such as Magnetic resonance imaging and Graph, which intersect with Segmentation.

He most often published in these fields:

  • Artificial intelligence (24.18%)
  • Distributed computing (20.65%)
  • Grid computing (12.85%)

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

  • Mobile device (3.53%)
  • Artificial intelligence (24.18%)
  • Computer network (9.82%)

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

Mobile device, Artificial intelligence, Computer network, Distributed computing and Computer security are his primary areas of study. His Artificial intelligence research includes elements of Pattern recognition and Natural language processing. Bernd Freisleben studies Segmentation which is a part of Pattern recognition.

His work carried out in the field of Computer network brings together such families of science as Wireless, Wireless ad hoc network and Open source. He has included themes like Forwarding plane, Network architecture, Resource allocation, Information-centric networking and Complex event processing in his Distributed computing study. His research investigates the connection between Computer security and topics such as Covert channel that intersect with problems in Mesh networking.

Between 2016 and 2021, his most popular works were:

  • Fast Cloud Segmentation Using Convolutional Neural Networks (33 citations)
  • IoT-based health monitoring via LoRaWAN (30 citations)
  • Tackling uncertainty in long-term predictions for host overload and underload detection in cloud computing (19 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

Bernd Freisleben mainly investigates Artificial intelligence, Pattern recognition, Mobile device, Cloud computing and Computer network. His Artificial intelligence study frequently draws connections to adjacent fields such as Computer vision. His work in the fields of Pattern recognition, such as Segmentation, intersects with other areas such as Sensitivity and Short-time Fourier transform.

His Segmentation research is multidisciplinary, incorporating perspectives in Convolutional neural network and Feature. His Mobile device research is multidisciplinary, relying on both Wireless, User space, Software and Kernel. His Cloud computing research focuses on Overhead and how it relates to Complex event processing.

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

Why eve and mallory love android: an analysis of android SSL (in)security

Sascha Fahl;Marian Harbach;Thomas Muders;Lars Baumgärtner.
computer and communications security (2012)

603 Citations

Fitness landscape analysis and memetic algorithms for the quadratic assignment problem

P. Merz;B. Freisleben.
IEEE Transactions on Evolutionary Computation (2000)

508 Citations

CARDWATCH: a neural network based database mining system for credit card fraud detection

E. Aleskerov;B. Freisleben;B. Rao.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr) (1997)

472 Citations

A genetic local search algorithm for solving symmetric and asymmetric traveling salesman problems

B. Freisleben;P. Merz.
ieee international conference on evolutionary computation (1996)

419 Citations

Genetic local search for the TSP: new results

P. Merz;B. Freisleben.
ieee international conference on evolutionary computation (1997)

348 Citations

New Genetic Local Search Operators for the Traveling Salesman Problem

Bernd Freisleben;Peter Merz.
parallel problem solving from nature (1996)

261 Citations

A comparison of memetic algorithms, tabu search, and ant colonies for the quadratic assignment problem

P. Merz;B. Freisleben.
congress on evolutionary computation (1999)

249 Citations

Text detection in images based on unsupervised classification of high-frequency wavelet coefficients

J. Gllavata;R. Ewerth;B. Freisleben.
international conference on pattern recognition (2004)

244 Citations

Fitness landscapes and memetic algorithm design

Peter Merz;Bernd Freisleben.
New ideas in optimization (1999)

226 Citations

Memetic Algorithms for the Traveling Salesman Problem

Peter Merz;Bernd Freisleben.
Complex Systems (2001)

219 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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