Michail Maniadakis

922 total citations
52 papers, 503 citations indexed

About

Michail Maniadakis is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michail Maniadakis has authored 52 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Cognitive Neuroscience and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michail Maniadakis's work include Neural dynamics and brain function (16 papers), Neuroscience and Music Perception (11 papers) and Reinforcement Learning in Robotics (9 papers). Michail Maniadakis is often cited by papers focused on Neural dynamics and brain function (16 papers), Neuroscience and Music Perception (11 papers) and Reinforcement Learning in Robotics (9 papers). Michail Maniadakis collaborates with scholars based in Greece, Germany and Japan. Michail Maniadakis's co-authors include Panos Trahanias, Maria Koskinopoulou, Sylvie Droit‐Volet, George Papadopoulos, Hartmut Surmann, Jun Tani, George A. Rovithakis, Michalis Zervakis, George Filippidis and M. Zervakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Michail Maniadakis

50 papers receiving 476 citations

Peers

Michail Maniadakis

CSE

ECP

Sebelan Danishvar United Kingdom

Lau Bee Theng Malaysia

Alessandro Manzi Italy

Sana Yasin Pakistan

Shaibal Barua Sweden

Vooi Voon Yap Malaysia

Abeer Ali Alnuaim Saudi Arabia

Jianmin Wang China

Fatemeh Noroozi Estonia

Jian Cui Singapore

Sebelan Danishvar United Kingdom

Michail Maniadakis

202 ×1.2

77 ×0.7

25 ×0.4

CSE

69 ×1.0

ECP

18 ×0.3

Citations per year, relative to Michail Maniadakis Michail Maniadakis (= 1×) peers Sebelan Danishvar

Countries citing papers authored by Michail Maniadakis

Since Specialization

Citations

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

Fields of papers citing papers by Michail Maniadakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michail Maniadakis

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

All Works

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20 of 20 papers shown

Pellegrino, Michele, et al.. (2025). Enhanced Waste Sorting Technology by Integrating Hyperspectral and RGB Imaging. Recycling. 10(5). 179–179. 1 indexed citations

Koskinopoulou, Maria, et al.. (2021). Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System for the Industrial Robotic Separation of Recyclable Waste. IEEE Robotics & Automation Magazine. 28(2). 50–60. 86 indexed citations

Gajewski, Patrick D., Soledad Ballesteros, Michail Maniadakis, et al.. (2021). Sustainable work through technology-assisted enhancement of cognitive abilities of older employees: the sustAGE approach.. Das Gesundheitswesen. 1 indexed citations

Maniadakis, Michail, et al.. (2020). Time-Aware Multi-Agent Symbiosis. Frontiers in Robotics and AI. 7. 503452–503452. 2 indexed citations

Koskinopoulou, Maria, Michail Maniadakis, & Panos Trahanias. (2019). Speed Adaptation in Learning from Demonstration through Latent Space Formulation. Robotica. 38(10). 1867–1879. 4 indexed citations

Droit‐Volet, Sylvie, et al.. (2018). The explicit judgment of long durations of several minutes in everyday life: Conscious retrospective memory judgment and the role of affects?. PLoS ONE. 13(4). e0195397–e0195397. 30 indexed citations

Maniadakis, Michail & Panos Trahanias. (2016). When and How-Long: A Unified Approach for Time Perception. Frontiers in Psychology. 7. 466–466. 4 indexed citations

Droit‐Volet, Sylvie, Panos Trahanias, & Michail Maniadakis. (2016). Passage of time judgments in everyday life are not related to duration judgments except for long durations of several minutes. Acta Psychologica. 173. 116–121. 50 indexed citations

Maniadakis, Michail & Panos Trahanias. (2014). Time models and cognitive processes: a review. Frontiers in Neurorobotics. 8. 7–7. 13 indexed citations

10.

Maniadakis, Michail, et al.. (2014). Robotic Interval Timing based on Active Oscillations. Procedia - Social and Behavioral Sciences. 126. 72–81. 1 indexed citations

11.

Maniadakis, Michail, Marc Wittmann, Sylvie Droit‐Volet, & Yoonsuck Choe. (2014). Toward embodied artificial cognition: TIME is on my side. Frontiers in Neurorobotics. 8. 25–25. 2 indexed citations

12.

Maniadakis, Michail, Panos Trahanias, & Jun Tani. (2012). Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. Neural Networks. 33. 76–87. 7 indexed citations

13.

Maniadakis, Michail & Panos Trahanias. (2012). Experiencing and Processing Time with Neural Networks. 145–150. 4 indexed citations

14.

Maniadakis, Michail, Marc Wittmann, & Panos Trahanias. (2011). Time Experiencing by Robotic Agents.. The European Symposium on Artificial Neural Networks. 3 indexed citations

15.

Maniadakis, Michail & Panos Trahanias. (2011). Temporal Cognition: A Key Ingredient of Intelligent Systems. Frontiers in Neurorobotics. 5. 2–2. 26 indexed citations

16.

Maniadakis, Michail, Panos Trahanias, & Jun Tani. (2009). Explorations on artificial time perception. Neural Networks. 22(5-6). 509–517. 16 indexed citations

17.

Maniadakis, Michail & Panos Trahanias. (2009). Agent-Based Brain Modeling by Means of Hierarchical Cooperative Coevolution. Artificial Life. 15(3). 293–336. 6 indexed citations

18.

Maniadakis, Michail & Panos Trahanias. (2007). Assessing Hierarchical Cooperative CoEvolution. 391–398. 1 indexed citations

19.

Maniadakis, Michail & Panos Trahanias. (2005). Modelling brain emergent behaviours through coevolution of neural agents. Neural Networks. 19(5). 705–720. 15 indexed citations

20.

Rovithakis, George A., Michail Maniadakis, M. Zervakis, et al.. (2001). Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue. IEEE Transactions on Biomedical Engineering. 48(10). 1088–1097. 26 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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