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OpenAlex Citation Counts

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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:

A Design Pattern for Decentralised Decision Making
Andreagiovanni Reina, Gabriele Valentini, C. Fernandez-Oto, et al.
PLoS ONE (2015) Vol. 10, Iss. 10, pp. e0140950-e0140950
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Swarm Robotics: Past, Present, and Future [Point of View]
Marco Dorigo, Guy Théraulaz, Vito Trianni
Proceedings of the IEEE (2021) Vol. 109, Iss. 7, pp. 1152-1165
Open Access | Times Cited: 228
The Best-of-n Problem in Robot Swarms: Formalization, State of the Art, and Novel Perspectives
Gabriele Valentini, Eliseo Ferrante, Marco Dorigo
Frontiers in Robotics and AI (2017) Vol. 4
Open Access | Times Cited: 176
Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs
Giovanni Pezzulo, Michael Levin
Integrative Biology (2015) Vol. 7, Iss. 12, pp. 1487-1517
Open Access | Times Cited: 162
Collective decision with 100 Kilobots: speed versus accuracy in binary discrimination problems
Gabriele Valentini, Eliseo Ferrante, Heiko Hamann, et al.
Autonomous Agents and Multi-Agent Systems (2015) Vol. 30, Iss. 3, pp. 553-580
Closed Access | Times Cited: 135
Automatic Design of Robot Swarms: Achievements and Challenges
Gianpiero Francesca, Mauro Birattari
Frontiers in Robotics and AI (2016) Vol. 3
Open Access | Times Cited: 125
Monitoring and mapping with robot swarms for agricultural applications
Dario Albani, Joris IJsselmuiden, Ramon Haken, et al.
(2017), pp. 1-6
Closed Access | Times Cited: 106
Blockchain Technology Secures Robot Swarms: A Comparison of Consensus Protocols and Their Resilience to Byzantine Robots
Volker Strobel, Eduardo Castelló Ferrer, Marco Dorigo
Frontiers in Robotics and AI (2020) Vol. 7
Open Access | Times Cited: 98
When less is more: Robot swarms adapt better to changes with constrained communication
Mohamed S. Talamali, Arindam Saha, James A. R. Marshall, et al.
Science Robotics (2021) Vol. 6, Iss. 56
Open Access | Times Cited: 93
Multiagent Decision-Making Dynamics Inspired by Honeybees
Rebecca Gray, Alessio Franci, Vaibhav Srivastava, et al.
IEEE Transactions on Control of Network Systems (2018) Vol. 5, Iss. 2, pp. 793-806
Open Access | Times Cited: 88
Mean-field models in swarm robotics: a survey
Karthik Elamvazhuthi, Spring Berman
Bioinspiration & Biomimetics (2019) Vol. 15, Iss. 1, pp. 015001-015001
Closed Access | Times Cited: 79
Autonomous task sequencing in a robot swarm
Lorenzo Garattoni, Mauro Birattari
Science Robotics (2018) Vol. 3, Iss. 20
Open Access | Times Cited: 80
Model of the best-of-Nnest-site selection process in honeybees
Andreagiovanni Reina, James A. R. Marshall, Vito Trianni, et al.
Physical review. E (2017) Vol. 95, Iss. 5
Open Access | Times Cited: 77
Automatic Off-Line Design of Robot Swarms: A Manifesto
Mauro Birattari, Antoine Ligot, Darko Bozhinoski, et al.
Frontiers in Robotics and AI (2019) Vol. 6
Open Access | Times Cited: 70
Psychophysical Laws and the Superorganism
Andreagiovanni Reina, Thomas Bose, Vito Trianni, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 53
Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms
Antoine Ligot, Mauro Birattari
Swarm Intelligence (2019) Vol. 14, Iss. 1, pp. 1-24
Closed Access | Times Cited: 47
Self-Organization and Artificial Life
Carlos Gershenson, Vito Trianni, Justin Werfel, et al.
Artificial Life (2020) Vol. 26, Iss. 3, pp. 391-408
Open Access | Times Cited: 43
Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms
Ken Hasselmann, Antoine Ligot, Julian Ruddick, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 34
Automatic detection and decoding of honey bee waggle dances
Fernando Wario, Benjamin Wild, Raúl Rojas, et al.
PLoS ONE (2017) Vol. 12, Iss. 12, pp. e0188626-e0188626
Open Access | Times Cited: 41
Collective decision making in dynamic environments
Judhi Prasetyo, G. Masi, Eliseo Ferrante
Swarm Intelligence (2019) Vol. 13, Iss. 3-4, pp. 217-243
Open Access | Times Cited: 39
Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms
Mauro Birattari, Antoine Ligot, Ken Hasselmann
Nature Machine Intelligence (2020) Vol. 2, Iss. 9, pp. 494-499
Closed Access | Times Cited: 34
Recent trends in robot learning and evolution for swarm robotics
Jonas Kuckling
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 11
Cross-inhibition leads to group consensus despite the presence of strongly opinionated minorities and asocial behaviour
Andreagiovanni Reina, Raina Zakir, G. Masi, et al.
Communications Physics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Robot swarms as an educational tool: The Thymio’s way
Alessandra Vitanza, Paolo Rossetti, Francesco Mondada, et al.
International Journal of Advanced Robotic Systems (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 31
Magnitude-sensitivity: rethinking decision-making
Angelo Pirrone, Andreagiovanni Reina, Tom Stafford, et al.
Trends in Cognitive Sciences (2021) Vol. 26, Iss. 1, pp. 66-80
Open Access | Times Cited: 27
Exploring the thermodynamic description of a simulation of flocking birds
Alexander V. Mantzaris, George-Rafael Domenikos
Frontiers in Complex Systems (2025) Vol. 2
Open Access
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