Dimitris C. Dracopoulos

490 citations
14 papers · 117 indexed · h-index 6

Dimitris C. Dracopoulos

14 papers receiving 95 citations

Peers

Dimitris C. Dracopoulos
Comparison fields: 5 of 38
  • Artificial Intelligence 55
  • Control and Systems Engineering 38
  • Statistical and Nonlinear Physics 20
  • Aerospace Engineering 25
  • Computer Vision and Pattern Recognition 14
Replace Ulysse Serres with:
Ulysse Serres France
Maximilian Mühlegg Germany
Jonas Umlauft Germany
J. Y. Shi United States
Xinwen Zhu United States
Felipe Pait Brazil
Philipp Petersen Austria
Farzan Farnia United States
Aravindh Krishnamoorthy Germany
Harouna Souley Ali France
Dimitris C. Dracopoulos relative to Ulysse Serres France Ulysse Serres's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dimitris C. Dracopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris C. Dracopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dimitris C. Dracopoulos. 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 Dimitris C. Dracopoulos. The network helps show where Dimitris C. Dracopoulos may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Dimitris C. Dracopoulos, 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 Dimitris C. Dracopoulos Line = papers co-authored together Dimitris C. Dracopoulos links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20152
2 20144
3 20112
4
Autolanding of Commercial Aircrafts by Genetic Programming
20073
5 200213
6 19985
7
A comparison of artificial intelligence techniques for the identification of people at high risk of oral cancer
19971
8 199713
9
Evolutionary control of a Satellite
19978
10 199716
11 199737
12 19942
13 19947
14 19934

About Dimitris C. Dracopoulos

Dimitris C. Dracopoulos is a scholar working on Artificial Intelligence, Control and Systems Engineering and Otorhinolaryngology, having authored 14 papers that have together received 117 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Evolutionary Algorithms and Applications (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Reinforcement Learning in Robotics (3 papers), Advanced Control Systems Optimization (2 papers), Adaptive Dynamic Programming Control (2 papers), Chaos control and synchronization (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Artificial Intelligence (55 citations), Control and Systems Engineering (38 citations) and Statistical and Nonlinear Physics (20 citations). Dimitris C. Dracopoulos has collaborated with scholars based in United Kingdom. Frequent co-authors include Alan J. Jones, Antonia J. Jones, M C Downer, Charlie Elliot, P.M. Speight and Philip Hammond. Their work appears in journals such as Neural Computing and Applications, Expert Systems, Journal of Computational Methods in Sciences and Engineering, UCL Discovery (University College London) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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