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 41 Citations 6,657 226 World Ranking 4312 National Ranking 198
Mathematics D-index 41 Citations 5,900 214 World Ranking 952 National Ranking 57

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Combinatorics
  • Algebra

His scientific interests lie mostly in Evolutionary algorithm, Algorithm, Combinatorics, Mathematical optimization and Function. The concepts of his Evolutionary algorithm study are interwoven with issues in Discrete mathematics, Heuristics, Mutation rate, Evolutionary computation and Upper and lower bounds. His study in the field of Time complexity also crosses realms of Test functions for optimization.

His Binary logarithm study in the realm of Combinatorics interacts with subjects such as Value. His study focuses on the intersection of Mathematical optimization and fields such as Shortest path problem with connections in the field of Human-based evolutionary computation and Interactive evolutionary computation. His Function research includes themes of Linear function, Spanning tree and Constant.

His most cited work include:

  • Theory of Randomized Search Heuristics: Foundations and Recent Developments (256 citations)
  • Why rumors spread so quickly in social networks (248 citations)
  • Multiplicative Drift Analysis (194 citations)

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

The scientist’s investigation covers issues in Combinatorics, Evolutionary algorithm, Discrete mathematics, Algorithm and Upper and lower bounds. He interconnects Rounding and Constant in the investigation of issues within Combinatorics. His Evolutionary algorithm research incorporates themes from Function, Genetic algorithm, Evolutionary computation and Heuristics.

His Function research integrates issues from Black box, Simple, Mutation rate, Applied mathematics and Benchmark. His Discrete mathematics research is multidisciplinary, relying on both Linear programming, Expected value and Random walk. His work on Asymptotically optimal algorithm and Randomized algorithm as part of general Algorithm study is frequently linked to Test functions for optimization, therefore connecting diverse disciplines of science.

He most often published in these fields:

  • Combinatorics (46.47%)
  • Evolutionary algorithm (33.58%)
  • Discrete mathematics (25.06%)

What were the highlights of his more recent work (between 2018-2021)?

  • Evolutionary algorithm (33.58%)
  • Genetic algorithm (11.19%)
  • Function (16.79%)

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

His primary areas of study are Evolutionary algorithm, Genetic algorithm, Function, Upper and lower bounds and Combinatorics. His Evolutionary algorithm study necessitates a more in-depth grasp of Mathematical optimization. His studies in Genetic algorithm integrate themes in fields like Algorithm, Distribution, Mutation and Exponential function.

His Function study incorporates themes from Evolutionary computation, Simple and Polynomial. Benjamin Doerr combines subjects such as Symmetry, Logarithm and Applied mathematics with his study of Upper and lower bounds. His study in the fields of Binary logarithm under the domain of Combinatorics overlaps with other disciplines such as Lambda.

Between 2018 and 2021, his most popular works were:

  • Analyzing randomized search heuristics via stochastic domination (46 citations)
  • A tight runtime analysis for the cGA on jump functions: EDAs can cross fitness valleys at no extra cost (33 citations)
  • Theory of evolutionary computation : recent developments in discrete optimization (27 citations)

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

  • Algorithm
  • Algebra
  • Combinatorics

His primary areas of investigation include Evolutionary algorithm, Function, Genetic algorithm, Mathematical optimization and Benchmark. His work carried out in the field of Evolutionary algorithm brings together such families of science as Discrete mathematics, Multiplicative function, Probabilistic logic, Mutation rate and Constant. His Genetic algorithm research incorporates elements of EDAS, Estimation of distribution algorithm, Algorithm, Applied mathematics and Upper and lower bounds.

His work deals with themes such as Black box and Unary operation, which intersect with Algorithm. Benjamin Doerr conducts interdisciplinary study in the fields of Test functions for optimization and Combinatorics through his research. His studies deal with areas such as Matching and Order as well as Combinatorics.

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

Why rumors spread so quickly in social networks

Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich.
Communications of The ACM (2012)

389 Citations

Theory of Randomized Search Heuristics: Foundations and Recent Developments

Anne Auger;Benjamin Doerr.
(2011)

340 Citations

Multiplicative Drift Analysis

Benjamin Doerr;Daniel Johannsen;Carola Winzen.
Algorithmica (2012)

194 Citations

Social Networks Spread Rumors in Sublogarithmic Time

Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich.
Electronic Notes in Discrete Mathematics (2011)

163 Citations

Crossover can provably be useful in evolutionary computation

Benjamin Doerr;Edda Happ;Christian Klein.
Theoretical Computer Science (2012)

134 Citations

From black-box complexity to designing new genetic algorithms

Benjamin Doerr;Carola Doerr;Franziska Ebel.
Theoretical Computer Science (2015)

129 Citations

Optimal fixed and adaptive mutation rates for the leadingones problem

Süntje Böttcher;Benjamin Doerr;Frank Neumann.
parallel problem solving from nature (2010)

127 Citations

Optimal Static and Self-Adjusting Parameter Choices for the $$(1+(\lambda ,\lambda ))$$ Genetic Algorithm

Benjamin Doerr;Carola Doerr.
Algorithmica (2018)

116 Citations

Probabilistic Tools for the Analysis of Randomized Optimization Heuristics.

Benjamin Doerr.
arXiv: Data Structures and Algorithms (2018)

109 Citations

Stabilizing consensus with the power of two choices

Benjamin Doerr;Leslie Ann Goldberg;Lorenz Minder;Thomas Sauerwald.
acm symposium on parallel algorithms and architectures (2011)

99 Citations

Editorial Boards

Journal of Complexity
(Impact Factor: 1.333)

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Benjamin Doerr

Frank Neumann

Frank Neumann

University of Adelaide

Publications: 97

Dirk Sudholt

Dirk Sudholt

University of Sheffield

Publications: 85

Carsten Witt

Carsten Witt

Technical University of Denmark

Publications: 56

Tobias Friedrich

Tobias Friedrich

Hasso Plattner Institute

Publications: 55

Thomas Jansen

Thomas Jansen

Aberystwyth University

Publications: 23

Xin Yao

Xin Yao

Southern University of Science and Technology

Publications: 23

Joachim Weickert

Joachim Weickert

Saarland University

Publications: 20

Zhi-Hua Zhou

Zhi-Hua Zhou

Nanjing University

Publications: 20

Josef Dick

Josef Dick

UNSW Sydney

Publications: 17

Ke Tang

Ke Tang

Southern University of Science and Technology

Publications: 16

Thomas Bäck

Thomas Bäck

Leiden University

Publications: 14

Yang Xiang

Yang Xiang

Swinburne University of Technology

Publications: 10

Wanlei Zhou

Wanlei Zhou

City University of Macau

Publications: 9

Shui Yu

Shui Yu

University of Technology Sydney

Publications: 8

Gopal Pandurangan

Gopal Pandurangan

University of Houston

Publications: 8

Alessandro Panconesi

Alessandro Panconesi

Sapienza University of Rome

Publications: 7

Trending Scientists

Martin Shepperd

Martin Shepperd

Brunel University London

steve simske

steve simske

Colorado State University

Jun-Yan Zhu

Jun-Yan Zhu

Carnegie Mellon University

Mamoru Mitsuishi

Mamoru Mitsuishi

University of Tokyo

Xizhang Wang

Xizhang Wang

Nanjing University

Salah M. Bedair

Salah M. Bedair

North Carolina State University

Julie Williams

Julie Williams

Cardiff University

Antonio Simeone

Antonio Simeone

King's College London

Gary H. Karpen

Gary H. Karpen

University of California, Berkeley

Giovanni Manfredi

Giovanni Manfredi

Cornell University

Ingi Agnarsson

Ingi Agnarsson

University of Iceland

Hervé Bourhy

Hervé Bourhy

Institut Pasteur

Scott D. Michaels

Scott D. Michaels

Indiana University

Stephan Herpertz

Stephan Herpertz

Ruhr University Bochum

Richard C. Shelton

Richard C. Shelton

University of Alabama at Birmingham

Min S. Yun

Min S. Yun

University of Massachusetts Amherst

Something went wrong. Please try again later.