Alexandre Campo

2.0k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Alexandre Campo is a scholar working on Computer Networks and Communications, Mechanical Engineering and Genetics. According to data from OpenAlex, Alexandre Campo has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 14 papers in Mechanical Engineering and 5 papers in Genetics. Recurrent topics in Alexandre Campo's work include Modular Robots and Swarm Intelligence (13 papers), Distributed Control Multi-Agent Systems (13 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Alexandre Campo is often cited by papers focused on Modular Robots and Swarm Intelligence (13 papers), Distributed Control Multi-Agent Systems (13 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Alexandre Campo collaborates with scholars based in Belgium, Spain and United States. Alexandre Campo's co-authors include Marco Dorigo, Jennifer A. Lewis, Andreas Frutiger, Daniel M. Vogt, Conor J. Walsh, Yiğit Mengüç, Joseph T. Muth, Shervin Nouyan, Álvaro Gutiérrez and Félix Monasterio-Huelin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and PLoS ONE.

In The Last Decade

Alexandre Campo

27 papers receiving 980 citations

Hit Papers

Capacitive Soft Strain Sensors via Multicore–Shell Fiber ... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexandre Campo Belgium 11 429 305 296 141 126 27 1.0k
David A. W. Barton United Kingdom 26 380 0.9× 898 2.9× 167 0.6× 98 0.7× 406 3.2× 66 1.8k
Spring Berman United States 20 380 0.9× 585 1.9× 573 1.9× 23 0.2× 46 0.4× 76 1.4k
Sarah Bergbreiter United States 24 1.4k 3.2× 780 2.6× 100 0.3× 191 1.4× 329 2.6× 133 2.1k
Pakpong Chirarattananon Hong Kong 20 1.4k 3.2× 803 2.6× 139 0.5× 79 0.6× 171 1.4× 60 3.1k
Vikram Iyer United States 16 277 0.6× 198 0.6× 159 0.5× 141 1.0× 706 5.6× 46 1.4k
Stefano Mintchev Switzerland 27 869 2.0× 743 2.4× 166 0.6× 133 0.9× 79 0.6× 62 2.3k
DaeEun Kim South Korea 16 899 2.1× 164 0.5× 117 0.4× 490 3.5× 366 2.9× 80 1.5k
Kirstin Petersen United States 17 2.1k 4.8× 1.6k 5.4× 212 0.7× 156 1.1× 132 1.0× 51 3.1k
Julien Serres France 15 188 0.4× 89 0.3× 35 0.1× 183 1.3× 129 1.0× 44 943
Noah T. Jafferis United States 15 973 2.3× 584 1.9× 36 0.1× 60 0.4× 281 2.2× 22 1.7k

Countries citing papers authored by Alexandre Campo

Since Specialization
Citations

This map shows the geographic impact of Alexandre Campo'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 Alexandre Campo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Campo more than expected).

Fields of papers citing papers by Alexandre Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre Campo. 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 Alexandre Campo. The network helps show where Alexandre Campo may publish in the future.

Co-authorship network of co-authors of Alexandre Campo

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Campo. A scholar is included among the top collaborators of Alexandre Campo 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 Alexandre Campo. Alexandre Campo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chkouri, Mohamed Yassin, et al.. (2023). Open Sensing System for Long Term, Low Cost Water Quality Monitoring. IEEE Open Journal of the Industrial Electronics Society. 4. 27–41. 6 indexed citations
2.
Wu, Chao, Donato Romano, Alexandre Campo, et al.. (2023). Organisms as sensors in biohybrid entities as a novel tool for in-field aquatic monitoring. Bioinspiration & Biomimetics. 19(1). 15001–15001. 3 indexed citations
3.
Campo, Alexandre, Stamatios C. Nicolis, & J. L. Deneubourg. (2021). Collective Memory: Transposing Pavlov’s Experiment to Robot Swarms. Applied Sciences. 11(6). 2632–2632. 2 indexed citations
4.
Romano, Donato, et al.. (2021). Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics. Biological Cybernetics. 115(6). 615–628. 10 indexed citations
5.
Biseau, Jean‐Christophe de, et al.. (2017). Effect of the land area elevation on the collective choice in ants. Scientific Reports. 7(1). 8745–8745. 3 indexed citations
6.
Detrain, Claire, et al.. (2017). An automated method for large-scale monitoring of seed dispersal by ants. Scientific Reports. 7(1). 40143–40143. 7 indexed citations
7.
Frutiger, Andreas, Joseph T. Muth, Daniel M. Vogt, et al.. (2015). Sensors: Capacitive Soft Strain Sensors via Multicore–Shell Fiber Printing (Adv. Mater. 15/2015). Advanced Materials. 27(15). 2548–2548. 4 indexed citations
8.
Trianni, Vito, et al.. (2013). Information Aggregation Mechanisms in Social Odometry. 102–109. 4 indexed citations
9.
Campo, Alexandre, et al.. (2011). Self-Organized Discrimination of Resources. PLoS ONE. 6(5). e19888–e19888. 26 indexed citations
10.
Schmickl, Thomas, Ronald Thenius, Jon Timmis, et al.. (2011). CoCoRo -- The Self-Aware Underwater Swarm. Discovery Research Portal (University of Dundee). 120–126. 72 indexed citations
11.
Campo, Alexandre, et al.. (2011). Open Review in computer science Elsevier grand challenge on executable papers. Procedia Computer Science. 4. 778–780. 1 indexed citations
12.
Campo, Alexandre, Álvaro Gutiérrez, Shervin Nouyan, et al.. (2010). Artificial pheromone for path selection by a foraging swarm of robots. Biological Cybernetics. 103(5). 339–352. 57 indexed citations
13.
Gutiérrez, Álvaro, Alexandre Campo, Félix Monasterio-Huelin, Luis Magdalena, & Marco Dorigo. (2010). Collective decision-making based on social odometry. Neural Computing and Applications. 19(6). 807–823. 36 indexed citations
14.
Gutiérrez, Álvaro, Elio Tuci, & Alexandre Campo. (2009). Evolution of Neuro-Controllers for Robots' Alignment using Local Communication. International Journal of Advanced Robotic Systems. 6(1). 8 indexed citations
15.
Gautrais, Jacques, Christian Jost, Marc Soria, et al.. (2008). Analyzing fish movement as a persistent turning walker. Journal of Mathematical Biology. 58(3). 429–445. 98 indexed citations
16.
Gutiérrez, Álvaro, Alexandre Campo, Marco Dorigo, et al.. (2008). An Open Localization and Local Communication Embodied Sensor. Sensors. 8(11). 7545–7563. 44 indexed citations
17.
Campo, Alexandre, et al.. (2008). The cart-bot and the cooperative transport of multiple objects in the swarmanoid project. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations
18.
Campo, Alexandre & Marco Dorigo. (2007). Efficient multi-foraging in swarm robotics. Lecture notes in computer science. 696–705. 1 indexed citations
19.
Nouyan, Shervin, Alexandre Campo, & Marco Dorigo. (2007). Path formation in a robot swarm. Swarm Intelligence. 2(1). 1–23. 95 indexed citations
20.
Campo, Alexandre, Shervin Nouyan, Mauro Birattari, Roderich Groß, & Marco Dorigo. (2006). Enhancing cooperative transport using negotiation of goal direction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 365–366. 1 indexed citations

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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