Christos Ampatzis

18 papers receiving 170 citations

Peers

Christos Ampatzis
Comparison fields: 5 of 45
  • Mechanical Engineering 85
  • Computer Networks and Communications 75
  • Artificial Intelligence 65
  • Computational Theory and Mathematics 25
  • Condensed Matter Physics 19
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Robert Gmyr Germany
Abraham Prieto Spain
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Countries citing papers authored by Christos Ampatzis

Since Specialization
Citations

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

Fields of papers citing papers by Christos Ampatzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christos Ampatzis

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1
Evolutionary Swarm Robotics: a Theoretical and Methodological Itinerary from Individual Neuro-Controllers to Collective Behaviour
3
2
Path Planning Strategies Inspired By Swarm Behaviour of Plant Root Apexes
1
3
Evolving ANNs for Spacecraft Rendezvous and Docking
4
4 4
5 1
6 2
7
Machine Learning Techniques for Approximation of Objective Functions in Trajectory Optimisation
11
8
Curiosity Cloning: Neural Analysis of Scientific Knowledge
1
9 39
10 34
11
Self-Assembly in Physical Autonomous Robots: the Evolutionary Robotics Approach
6
12 23
13 15
14 4
15
Operational aspects of the evolved signalling behaviour in a group of cooperating and communicating robots
1
16
SWARM-BOT: Design and Implementation of Colonies of Self-Assembling Robots
19
17
Evolving Communicating Agents that Integrate Information over Time: A Real Robot Experiment
5
18 19

About Christos Ampatzis

Christos Ampatzis is a scholar working on Discrete Mathematics and Combinatorics, Cognitive Neuroscience and Condensed Matter Physics, having authored 18 papers that have together received 192 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (8 papers), Reinforcement Learning in Robotics (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Computer Networks and Communications (75 citations), Mechanical Engineering (85 citations) and Artificial Intelligence (65 citations). Christos Ampatzis has collaborated with scholars based in Belgium, Switzerland and Netherlands. Frequent co-authors include Marco Dorigo, Elio Tuci, Vito Trianni, Dario Izzo, Anders Lyhne Christensen, Federico Vicentini, Francesco Mondada, Thomas Halva Labella, Roderich Groß and Shervin Nouyan. Their work appears in journals such as Lecture notes in computer science, Artificial Life and Adaptive Behavior.

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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