2026 Thomas Bäck: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	61	2980	2893	28	27	398	39023

Research.com Recognitions

2025 - Research.com Computer Science in Netherlands Leader Award
2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Thomas Bäck is affiliated with Leiden University in the Netherlands. Their research primarily spans the fields of computer science and engineering, with a significant focus on artificial intelligence, computational theory and mathematics, industrial and manufacturing engineering, control and systems engineering, and management science and operations research.

The scientist's work covers several main topics, including:

Advanced Multi-Objective Optimization Algorithms
Metaheuristic Optimization Algorithms Research
Evolutionary Algorithms and Applications
Anomaly Detection Techniques and Applications
Machine Learning and Data Classification
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography

Thomas Bäck has contributed to a variety of recent academic papers that illustrate the scope of their research. Selected recent publications include:

Temporal convolutional autoencoder for unsupervised anomaly detection in time series (2021), published in Applied Soft Computing
Deep multiagent reinforcement learning: challenges and directions (2022), published in Artificial Intelligence Review
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient (2021), published in IEEE Transactions on Evolutionary Computation
Performance comparison of optimization methods on variational quantum algorithms (2023), published in Physical Review A
Automated machine learning: past, present and future (2024), published in Artificial Intelligence Review

The scientist frequently collaborates with a number of coauthors, including:

Anna V. Kononova
Diederick Vermetten
Hao Wang
Bas van Stein
Carola Doerr

The venues where Thomas Bäck's research is commonly published reflect their active presence in the computational and evolutionary computation communities. These include:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Proceedings of the Genetic and Evolutionary Computation Conference
IEEE Transactions on Evolutionary Computation

In addition to articles, Thomas Bäck has published books with reputable publishers. Their book publications include works with Springer Science+Business Media such as "Parallel Problem Solving from Nature - PPSN XVI" (2020) and "Security and Artificial Intelligence" (2022), as well as "Computational Intelligence" (2023) published by Springer Nature.

Best Publications

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms

Thomas Bäck

8045
Citations
Handbook of Evolutionary Computation

Thomas Back;David B. Fogel;Zbigniew Michalewicz

4337
Citations
Evolutionary algorithms in theory and practice

Thomas Back

3874
Citations
An overview of evolutionary algorithms for parameter optimization

Thomas Bäck;Hans-Paul Schwefel

3073
Citations
Evolutionary computation: comments on the history and current state

T. Back;U. Hammel;H.-P. Schwefel

2274
Citations
A Survey of Evolution Strategies.

Thomas Bäck;Frank Hoffmeister;Hans-Paul Schwefel

1157
Citations
Optimal Mutation Rates in Genetic Search

Thomas Bäck

704
Citations
Parallel Problem Solving from Nature — PPSN V

Agoston E. Eiben;Thomas Bäck;Marc Schoenauer;Hans-Paul Schwefel

623
Citations
Selective pressure in evolutionary algorithms: a characterization of selection mechanisms

T. Back

614
Citations
Evolutionary Computation 2 : Advanced Algorithms and Operators

Thomas Bäck;David Fogel;Zbigniew Michalewicz

555
Citations
An overview of evolutionary computation

William M. Spears;Kenneth A. De Jong;Thomas Bäck;David B. Fogel

498
Citations
Extended Selection Mechanisms in Genetic Algorithms.

Thomas Bäck;Frank Hoffmeister

458
Citations
Genetic Algorithms and Evolution Strategies - Similarities and Differences

Frank Hoffmeister;Thomas Bäck

428
Citations
The Interaction of Mutation Rate, Selection, and Self-Adaptation Within a Genetic Algorithm.

Thomas Bäck

425
Citations
Evolutionary computation: an overview

T. Back;H.-P. Schwefel

383
Citations
The zero/one multiple knapsack problem and genetic algorithms

Sami Khuri;Thomas Bäck;Jörg Heitkötter

380
Citations
Intelligent Mutation Rate Control in Canonical Genetic Algorithms

Thomas Bäck;Martin Schütz

314
Citations
Metamodel-Assisted Evolution Strategies

Michael Emmerich;Alexios Giotis;Mutlu Özdemir;Thomas Bäck

294
Citations
Evolutionary Algorithms: The Role of Mutation and Recombination

William M. Spears;A. E. Eiben;G. Rozenberg;J. Kok

265
Citations
Empirical investigation of multiparent recombination operators in evolution strategies

Agoston E. Eiben;Thomas Bäck

201
Citations

Frequent Co-Authors

Michael Emmerich Leiden University

Joost N. Kok University of Twente

A. E. Eiben Vrije Universiteit Amsterdam

Bernhard Sendhoff Honda (Germany)

David B. Fogel Torrey Pines Institute For Molecular Studies

Zbigniew Michalewicz University of Adelaide

Ke Tang Southern University of Science and Technology

Michael S. Lew Leiden University

Sebastian Engell TU Dortmund University

Adriaan P. IJzerman Leiden University

External Links

Personal website of Thomas Bäck Google Scholar page

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