Nickolas D. Polychronopoulos

25 papers receiving 231 citations

Peers

Nickolas D. Polychronopoulos
Comparison fields: 5 of 57
  • Fluid Flow and Transfer Processes 30
  • Automotive Engineering 53
  • Computational Mechanics 57
  • Mechanical Engineering 95
  • Biomedical Engineering 107
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Chisato Nonomura Japan
Maximilian Pospischil Germany
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Countries citing papers authored by Nickolas D. Polychronopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Nickolas D. Polychronopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nickolas D. Polychronopoulos. 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 Nickolas D. Polychronopoulos. The network helps show where Nickolas D. Polychronopoulos may publish in the future.

Co-authors

The 16 scholars most cited alongside Nickolas D. Polychronopoulos, 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 Nickolas D. Polychronopoulos Line = papers co-authored together Nickolas D. Polychronopoulos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201942
2 202031
3 202120
4 202120
5 202419
6 201815
7 201312
8 20218
9 20158
10 20227
11 20156
12 20255
13 20225
14 20215
15 20205
16 20234
17 20164
18 20224
19 20234
20 20253

About Nickolas D. Polychronopoulos

Nickolas D. Polychronopoulos is a scholar working on Computational Mechanics, Mechanical Engineering, Biomedical Engineering, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 27 papers that have together received 239 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (7 papers), Additive Manufacturing and 3D Printing Technologies (7 papers), Lattice Boltzmann Simulation Studies (5 papers), Innovations in Concrete and Construction Materials (4 papers), Nanofluid Flow and Heat Transfer (3 papers), Metallurgy and Material Forming (3 papers), Epoxy Resin Curing Processes (2 papers) and Thermoelastic and Magnetoelastic Phenomena (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (30 citations), Automotive Engineering (53 citations), Computational Mechanics (57 citations), Mechanical Engineering (95 citations) and Biomedical Engineering (107 citations). Nickolas D. Polychronopoulos has collaborated with scholars based in Greece, Canada and United States. Frequent co-authors include J. Vlachopoulos, Ioannis E. Sarris, Lefteris Benos, Angeliki Brouzgou, T. D. Papathanasiou, L.A. Spyrou, U. S. Mahabaleshwar, Giulio Lorenzini, Evangelos Karvelas and Constantinos Stergiou. Their work appears in journals such as Physics of Fluids, Polymer Engineering and Science, International Polymer Processing, Rapid Prototyping Journal and Polymer Composites.

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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