Panagiotis Dimitrakopoulos

523 citations
10 papers · 353 indexed · h-index 6

Panagiotis Dimitrakopoulos

9 papers receiving 343 citations

Peers

Panagiotis Dimitrakopoulos
Comparison fields: 5 of 62
  • Surfaces, Coatings and Films 117
  • Computational Mechanics 101
  • Artificial Intelligence 155
  • Biophysics 17
  • Computer Vision and Pattern Recognition 55
Replace Tim Dahmen with:
Tim Dahmen Germany
Oliver Spires United States
Yanlu Li Belgium
S. Vázquez-Montiel Mexico
Vicente Moreno Spain
Eunju Cha South Korea
Tobias Schmid Germany
Lakshminarayan Hazra India
Jizong Peng China
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Panagiotis Dimitrakopoulos relative to Tim Dahmen Germany Tim Dahmen's profile →
Citations per field
00.5×8.4×
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Citations per year

Countries citing papers authored by Panagiotis Dimitrakopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Panagiotis Dimitrakopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Panagiotis Dimitrakopoulos, 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 Panagiotis Dimitrakopoulos Line = papers co-authored together Panagiotis Dimitrakopoulos links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20240
2 20205
3 20209
4 20192
5 2018165
6 20163
7 20147
8 200118
9 1999143
10
Displacement of Fluid Droplets From Solid Surfaces
19981

About Panagiotis Dimitrakopoulos

Panagiotis Dimitrakopoulos is a scholar working on Biophysics, Fluid Flow and Transfer Processes and Surfaces, Coatings and Films, having authored 10 papers that have together received 353 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Cell Image Analysis Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Surface Modification and Superhydrophobicity (2 papers), Phase Equilibria and Thermodynamics (2 papers), Fluid Dynamics and Thin Films (1 paper), Elasticity and Material Modeling (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (117 citations), Computational Mechanics (101 citations) and Artificial Intelligence (155 citations). Panagiotis Dimitrakopoulos has collaborated with scholars based in Greece, Germany and United States. Frequent co-authors include J. J. L. Higdon, Giorgos Sfikas, Christophoros Nikou, Antonia Charchanti, Marina E. Plissiti, John F. Brady, Changjun Li and Wenlong Jia. Their work appears in journals such as Journal of Fluid Mechanics, Zeitschrift für angewandte Mathematik und Physik and International Journal of Thermophysics.

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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