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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 quantitative micro–macro link for collective decisions: the shortest path discovery/selection example
Andreagiovanni Reina, Roman Miletitch, Marco Dorigo, et al.
Swarm Intelligence (2015) Vol. 9, Iss. 2-3, pp. 75-102
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

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
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
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
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
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
Random Walks in Swarm Robotics: An Experiment with Kilobots
Cristina Dimidov, Giuseppe Oriolo, Vito Trianni
Lecture notes in computer science (2016), pp. 185-196
Closed Access | Times Cited: 79
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
Sophisticated collective foraging with minimalist agents: a swarm robotics test
Mohamed S. Talamali, Thomas Bose, Matthew Haire, et al.
Swarm Intelligence (2019) Vol. 14, Iss. 1, pp. 25-56
Open Access | Times Cited: 55
Artificial Collective Intelligence Engineering: A Survey of Concepts and Perspectives
Roberto Casadei
Artificial Life (2023) Vol. 29, Iss. 4, pp. 433-467
Open Access | Times Cited: 14
Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails
Anna Font Llenas, Mohamed S. Talamali, Xu Xu, et al.
Lecture notes in computer science (2018), pp. 135-149
Closed Access | Times Cited: 39
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
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
Speed-accuracy trade-offs in best-of- n collective decision making through heterogeneous mean-field modeling
Andreagiovanni Reina, Thierry Njougouo, Elio Tuci, et al.
Physical review. E (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 4
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
The impact of agent density on scalability in collective systems: noise-induced versus majority-based bistability
Yara Khaluf, Carlo Pinciroli, Gabriele Valentini, et al.
Swarm Intelligence (2017) Vol. 11, Iss. 2, pp. 155-179
Closed Access | Times Cited: 33
The Information-Cost-Reward framework for understanding robot swarm foraging
Lenka Pitonakova, Richard Crowder, Seth Bullock
Swarm Intelligence (2017) Vol. 12, Iss. 1, pp. 71-96
Open Access | Times Cited: 31
Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms
Andreagiovanni Reina, Thomas Bose, Vito Trianni, et al.
Springer proceedings in advanced robotics (2018), pp. 461-473
Open Access | Times Cited: 30
Coherent collective behaviour emerging from decentralised balancing of social feedback and noise
Ilja Rausch, Andreagiovanni Reina, Pieter Simoens, et al.
Swarm Intelligence (2019) Vol. 13, Iss. 3-4, pp. 321-345
Closed Access | Times Cited: 29
A novel foraging algorithm for swarm robotics based on virtual pheromones and neural network
Yong Song, Xing Fang, Bing Liu, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106156-106156
Closed Access | Times Cited: 22
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study
Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri, et al.
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 8, pp. 3159-3184
Open Access | Times Cited: 19
Improving collective decision accuracy via time-varying cross-inhibition
Mohamed S. Talamali, James A. R. Marshall, Thomas Bose, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 22
The design of self-organizing human–swarm intelligence
Jonas D. Hasbach, Maren Bennewitz
Adaptive Behavior (2021) Vol. 30, Iss. 4, pp. 361-386
Open Access | Times Cited: 18
The Best-of-n Problem with Dynamic Site Qualities: Achieving Adaptability with Stubborn Individuals
Judhi Prasetyo, G. Masi, Pallavi Ranjan, et al.
Lecture notes in computer science (2018), pp. 239-251
Closed Access | Times Cited: 19
Balancing exploitation of renewable resources by a robot swarm
Roman Miletitch, Marco Dorigo, Vito Trianni
Swarm Intelligence (2018) Vol. 12, Iss. 4, pp. 307-326
Open Access | Times Cited: 16
The PageRank algorithm as a method to optimize swarm behavior through local analysis
Mario Coppola, Jian Guo, E. Gill, et al.
Swarm Intelligence (2019) Vol. 13, Iss. 3-4, pp. 277-319
Open Access | Times Cited: 15
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