Athanasios Polydoros

1.6k citations
11 papers · 932 indexed · 2 hit papers · h-index 8

Athanasios Polydoros

11 papers receiving 905 citations

Hit Papers

Recent Advances in Robot Learning from Demonstration4322017202620202023100200300400

Peers

Athanasios Polydoros
Comparison fields: 5 of 85
  • Control and Systems Engineering 484
  • Artificial Intelligence 436
  • Industrial and Manufacturing Engineering 89
  • Computer Vision and Pattern Recognition 139
  • Human-Computer Interaction 29
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Herke van Hoof Netherlands
Sarah Osentoski United States
Joni Pajarinen Finland
Szymon Sidor
Stephen Balakirsky United States
Ching‐Chang Wong Taiwan
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Bob McGrew United States
Matthias Plappert Germany
Athanasios Polydoros relative to Herke van Hoof Netherlands Herke van Hoof's profile →
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Countries citing papers authored by Athanasios Polydoros

Since Specialization
Citations

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

Fields of papers citing papers by Athanasios Polydoros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Athanasios Polydoros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Athanasios Polydoros Line = papers co-authored together Athanasios Polydoros links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20252
2
Recent Advances in Robot Learning from Demonstrationbreakdown →
2019432
3 20187
4 20183
5
Survey of Model-Based Reinforcement Learning: Applications on Roboticsbreakdown →
2017329
6 201711
7 201611
8
Advantages and limitations of reservoir computing on model learning for robot control
20154
9 201554
10 201257
11 201122

About Athanasios Polydoros

Athanasios Polydoros is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 11 papers that have together received 932 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Neural Networks and Applications (3 papers), Neural Networks and Reservoir Computing (3 papers), Manufacturing Process and Optimization (2 papers), Evolutionary Algorithms and Applications (2 papers), Cognitive Computing and Networks (2 papers), Cognitive Science and Mapping (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Control and Systems Engineering (484 citations), Artificial Intelligence (436 citations) and Industrial and Manufacturing Engineering (89 citations). Athanasios Polydoros has collaborated with scholars based in Denmark, Austria and Greece. Frequent co-authors include Lazaros Nalpantidis, Harish Ravichandar, Sonia Chernova, Aude Billard, George A. Papakostas, Vassilios D. Tourassis, Dimitrios E. Koulouriotis, Volker Krüger, Evangelos Boukas and Emlyn Williams. Their work appears in journals such as Journal of Intelligent & Robotic Systems, Expert Systems with Applications, Infoscience (Ecole Polytechnique Fédérale de Lausanne), VBN Forskningsportal (Aalborg Universitet) and Lund University Publications (Lund University).

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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