A. E. Eiben

18.3k total citations · 7 hit papers
167 papers, 9.2k citations indexed

About

A. E. Eiben is a scholar working on Artificial Intelligence, Mechanical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, A. E. Eiben has authored 167 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Artificial Intelligence, 60 papers in Mechanical Engineering and 22 papers in Computational Theory and Mathematics. Recurrent topics in A. E. Eiben's work include Evolutionary Algorithms and Applications (103 papers), Reinforcement Learning in Robotics (79 papers) and Modular Robots and Swarm Intelligence (59 papers). A. E. Eiben is often cited by papers focused on Evolutionary Algorithms and Applications (103 papers), Reinforcement Learning in Robotics (79 papers) and Modular Robots and Swarm Intelligence (59 papers). A. E. Eiben collaborates with scholars based in Netherlands, United Kingdom and Germany. A. E. Eiben's co-authors include James E. Smith, Zbigniew Michalewicz, Robert Hinterding, S. K. Smit, Volker Nannen, Giorgos Karafotias, Mark Hoogendoorn, Evert Haasdijk, Nicolas Bredèche and Gergő Somorjai and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

A. E. Eiben

156 papers receiving 8.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Introduction to Evolutionary Computing

2003 2.7k citations A. E. Eiben, James E. Smith profile →
Parameter control in evolutionary algorithms

1999 1.3k citations A. E. Eiben, Zbigniew Michalewicz et al. IEEE Transactions on Evolutionary Computation profile →
Introduction to Evolutionary Computing

2015 646 citations A. E. Eiben, James E. Smith VU Research Portal profile →
Parameter tuning for configuring and analyzing evolutionary algorithms

2011 417 citations A. E. Eiben et al. Swarm and Evolutionary Computation profile →
Optimized flocking of autonomous drones in confined environments

2018 368 citations Gábor Vásárhelyi, Csaba Virágh et al. Science Robotics profile →
From evolutionary computation to the evolution of things

2015 321 citations A. E. Eiben, James E. Smith Nature profile →
Parameter Control in Evolutionary Algorithms: Trends and Challenges

2014 309 citations A. E. Eiben et al. IEEE Transactions on Evolutionary Computation profile →

Peers

Countries citing papers authored by A. E. Eiben

Since Specialization

Citations

This map shows the geographic impact of A. E. Eiben's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. E. Eiben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. E. Eiben more than expected).

Fields of papers citing papers by A. E. Eiben

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. E. Eiben. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. E. Eiben. The network helps show where A. E. Eiben may publish in the future.

Co-authorship network of co-authors of A. E. Eiben

This figure shows the co-authorship network connecting the top 25 collaborators of A. E. Eiben. A scholar is included among the top collaborators of A. E. Eiben based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. E. Eiben. A. E. Eiben is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments 2025 ·IEEE Transactions on Evolutionary Computation ·(unknown), (unknown), (unknown), (unknown), A. E. Eiben	0
2	Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics 2024 ·Robotics ·(unknown), (unknown), (unknown), Emma Hart, A. E. Eiben, (unknown), (unknown), (unknown), Jon Timmis, Alan Winfield, Andy M. Tyrrell	1
3	``Give Me an Example Like This'': Episodic Active Reinforcement Learning from Demonstrations 2024 ·VU Research Portal ·(unknown), Koen V. Hindriks, A. E. Eiben, Kim Baraka	0
4	A model-free method to learn multiple skills in parallel on modular robots 2024 ·Nature Communications ·(unknown), (unknown), Eliseo Ferrante, A. E. Eiben	1
5	Enhancing robot evolution through Lamarckian principles 2023 ·Scientific Reports ·Jie Luo, (unknown), Jakub M. Tomczak, A. E. Eiben	1
6	Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces 2023 ·IEEE Transactions on Evolutionary Computation ·(unknown), (unknown), (unknown), Emma Hart, (unknown), (unknown), (unknown), (unknown), (unknown), Zhongxue Gan, Alan Winfield, Jon Timmis, A. E. Eiben, Andy M. Tyrrell	11
7	Practical hardware for evolvable robots 2023 ·Frontiers in Robotics and AI ·(unknown), (unknown), (unknown), Emma Hart, A. E. Eiben, (unknown), Alan Winfield, (unknown), (unknown), Jon Timmis, Andy M. Tyrrell	1
8	Environment induced emergence of collective behavior in evolving swarms with limited sensing 2022 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), (unknown), (unknown), (unknown), Eliseo Ferrante, A. E. Eiben	5
9	Collective gradient perception with a flying robot swarm 2022 ·Swarm Intelligence ·(unknown), Ali Emre Turgut, A. E. Eiben, Eliseo Ferrante	6
10	Population-Based Parameter Identification for Dynamical Models of Biological Networks with an Application to Saccharomyces cerevisiae 2021 ·Processes ·Ewelina Węglarz‐Tomczak, Jakub M. Tomczak, A. E. Eiben, Stanley Brul	5
11	Time efficiency in optimization with a bayesian-Evolutionary algorithm 2021 ·Swarm and Evolutionary Computation ·Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben	44
12	Robot Evolution: Ethical Concerns 2021 ·Frontiers in Robotics and AI ·A. E. Eiben, Jacintha Ellers, Gerben Meynen, Sven Nyholm	8
13	Optimized flocking of autonomous drones in confined environments breakdown → 2018 ·Science Robotics ·Gábor Vásárhelyi, Csaba Virágh, Gergő Somorjai, Tamás Nepusz, A. E. Eiben, Tamás Vicsek	368
14	From evolutionary computation to the evolution of things breakdown → 2015 ·Nature ·A. E. Eiben, James E. Smith	321
15	Combining Environment-Driven Adaptation and Task-Driven Optimisation in Evolutionary Robotics 2014 ·PLoS ONE ·Evert Haasdijk, Nicolas Bredèche, A. E. Eiben	33
16	Embodied artificial evolution 2012 ·Evolutionary Intelligence ·A. E. Eiben, Serge Kernbach, Evert Haasdijk	37
17	Stepwise adaption of weights with refinement and decay on constraint satisfaction problems 2001 ·Genetic and Evolutionary Computation Conference ·Bart Craenen, A. E. Eiben	10
18	Solving CSPs using self-adaptive constraint weights: how to prevent EAs from cheating 2000 ·Research Output (Edinburgh Napier University) ·A. E. Eiben, Bart Jansen, Zbigniew Michalewicz, Ben Paechter	5
19	Population dynamics and emerging mental features in AEGIS 1999 ·Genetic and Evolutionary Computation Conference ·A. E. Eiben, (unknown), Jano van Hemert	2
20	Parallel problem solving from nature-PPSN V : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998 : proceedings 1998 ·Springer eBooks ·A. E. Eiben	9

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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