OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

JGEA
Eric Medvet, Giorgia Nadizar, Luca Manzoni
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2009-2018
Closed Access | Times Cited: 16

Showing 16 citing articles:

GP for Continuous Control: Teacher or Learner? The Case of Simulated Modular Soft Robots
Eric Medvet, Giorgia Nadizar
Genetic and evolutionary computation (2024), pp. 203-224
Closed Access | Times Cited: 4

An experimental comparison of evolved neural network models for controlling simulated modular soft robots
Giorgia Nadizar, Eric Medvet, Stefano Nichele, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110610-110610
Open Access | Times Cited: 11

On the impact of body material properties on neuroevolution for embodied agents
Eric Medvet, Giorgia Nadizar, Federico Pigozzi
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2122-2130
Open Access | Times Cited: 9

Evolving Hebbian Learning Rules in Voxel-Based Soft Robots
Andrea Ferigo, Giovanni Iacca, Eric Medvet, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 3, pp. 1536-1546
Open Access | Times Cited: 9

A Fully-distributed Shape-aware Neural Controller for Modular Robots
Giorgia Nadizar, Eric Medvet, Kathryn Walker, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023)
Closed Access | Times Cited: 5

Evolutionary Computation Meets Stream Processing
Vincenzo Gulisano, Eric Medvet
Lecture notes in computer science (2024), pp. 377-393
Closed Access | Times Cited: 1

Neuron-centric Hebbian Learning
Andrea Ferigo, Elia Cunegatti, Giovanni Iacca
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 87-95
Open Access | Times Cited: 1

Impact of Morphology Variations on Evolved Neural Controllers for Modular Robots
Eric Medvet, Francesco Rusin
Communications in computer and information science (2023), pp. 266-277
Closed Access | Times Cited: 2

Grammar-Based Evolution of Polyominoes
Jessica Mégane, Eric Medvet, Nuno Lourenço, et al.
Lecture notes in computer science (2024), pp. 56-72
Closed Access

The Role of the Substrate in CA-based Evolutionary Algorithms
Gloria Pietropolli, Stefano Nichele, Eric Medvet
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 768-777
Closed Access

Eventually, all you need is a simple evolutionary algorithm (for neuroevolution of continuous control policies)
Michel El Saliby, Giorgia Nadizar, Erica Salvato, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1904-1913
Closed Access

Totipotent neural controllers for modular soft robots: Achieving specialization in body-brain co-evolution through Hebbian learning
Andrea Ferigo, Giovanni Iacca, Eric Medvet, et al.
Neurocomputing (2024) Vol. 614, pp. 128811-128811
Open Access

A General Purpose Representation and Adaptive EA for Evolving Graphs
Eric Medvet, Simone Pozzi, Luca Manzoni
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1156-1164
Closed Access | Times Cited: 1

Gaggle: Genetic Algorithms on the GPU using PyTorch
Lucas Fenaux, Thomas Humphries, Florian Kerschbaum
(2023), pp. 2358-2361
Closed Access | Times Cited: 1

On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: An Experimental Analysis
Giorgia Nadizar, Eric Medvet
Lecture notes in computer science (2023), pp. 292-307
Closed Access

PyScheduling: an Extensible and User-Friendly Python Framework for Scheduling Problems
Taha Arbaoui, Mohamed Elamine Athmani, Mohammed Henni, et al.
(2023), pp. 1855-1863
Closed Access

Page 1

Scroll to top