Filippos Sofos

1.6k total citations · 1 hit paper
63 papers, 1.2k citations indexed

About

Filippos Sofos is a scholar working on Biomedical Engineering, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Filippos Sofos has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 19 papers in Computational Mechanics and 14 papers in Materials Chemistry. Recurrent topics in Filippos Sofos's work include Nanopore and Nanochannel Transport Studies (25 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Machine Learning in Materials Science (10 papers). Filippos Sofos is often cited by papers focused on Nanopore and Nanochannel Transport Studies (25 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Machine Learning in Materials Science (10 papers). Filippos Sofos collaborates with scholars based in Greece, Cyprus and India. Filippos Sofos's co-authors include Theodoros E. Karakasidis, A. Liakopoulos, Dimitris Drikakis, A.E. Giannakopoulos, Ioannis W. Kokkinakis, U. S. Mahabaleshwar, S. Michael Spottswood, Ioannis E. Sarris, Cedric J. Simon and Christos G. Papakonstantinou and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Heat and Mass Transfer.

In The Last Decade

Filippos Sofos

56 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives

2023 111 citations Filippos Sofos, Theodoros E. Karakasidis et al. Archives of Computational Methods in Engineering profile →

Peers

Countries citing papers authored by Filippos Sofos

Since Specialization

Citations

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

Fields of papers citing papers by Filippos Sofos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippos Sofos

This figure shows the co-authorship network connecting the top 25 collaborators of Filippos Sofos. A scholar is included among the top collaborators of Filippos Sofos 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 Filippos Sofos. Filippos Sofos 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

#	Work	Indexed citations
1	Turbulent channel flow: A physics-informed neural network approach with embedded parameter optimization 2025 ·Physics of Fluids ·(unknown), (unknown), Filippos Sofos, A. Liakopoulos	1
2	Advancing super-resolution of turbulent velocity fields: An artificial intelligence approach 2025 ·Physics of Fluids ·Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis	2
3	Comparison of super-resolution deep learning models for flow imaging 2024 ·Computers & Fluids ·Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis	2
4	Turbulent Micropolar Open-Channel Flow 2024 ·Fluids ·(unknown), (unknown), (unknown), Filippos Sofos	0
5	From Sparse to Dense Representations in Open Channel Flow Images with Convolutional Neural Networks 2024 ·Inventions ·Filippos Sofos, (unknown), (unknown), (unknown), Theodoros E. Karakasidis, A. Liakopoulos	5
6	Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients 2024 ·Health and Technology ·Filippos Sofos, (unknown), Vasiliki Triantafyllia, Evangelos Andreakos, Konstantinos I. Gourgoulianis, (unknown), Theodoros E. Karakasidis	0
7	Impact of an inclined magnetic field on couple stress fluid flow over a stretching surface with effect of Stefan blowing, radiation and chemical reaction 2023 ·Journal of Magnetism and Magnetic Materials ·(unknown), A. B. Vishalakshi, U. S. Mahabaleshwar, Filippos Sofos	10
8	Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives breakdown → 2023 ·Archives of Computational Methods in Engineering ·(unknown), Filippos Sofos, Theodoros E. Karakasidis	111
9	Can Artificial Intelligence Accelerate Fluid Mechanics Research? 2023 ·Fluids ·Dimitris Drikakis, Filippos Sofos	34
10	Computation of flow rates in rarefied gas flow through circular tubes via machine learning techniques 2023 ·Microfluidics and Nanofluidics ·Filippos Sofos, (unknown), (unknown), Theodoros E. Karakasidis, Dimitris Valougeorgis	5
11	Convolutional neural networks for compressible turbulent flow reconstruction 2023 ·Physics of Fluids ·Filippos Sofos, Dimitris Drikakis, Ioannis W. Kokkinakis, S. Michael Spottswood	16
12	The Educational Role of Cinema in Physical Sciences 2023 ·(unknown), (unknown), Filippos Sofos	0
13	Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods 2023 ·Micromachines ·(unknown), Filippos Sofos, (unknown), Theodoros E. Karakasidis	4
14	Fiber-Reinforced Polymer Confined Concrete: Data-Driven Predictions of Compressive Strength Utilizing Machine Learning Techniques 2022 ·Applied Sciences ·Filippos Sofos, Christos G. Papakonstantinou, (unknown), Theodoros E. Karakasidis	14
15	An assessment of SPH simulations of sudden expansion/contraction 3-D channel flows 2021 ·Computational Particle Mechanics ·Filippos Sofos, (unknown), A. Liakopoulos	4
16	Nanoscale slip length prediction with machine learning tools 2021 ·Scientific Reports ·Filippos Sofos, Theodoros E. Karakasidis	19
17	Molecular Dynamics Simulations of Ion Drift in Nanochannel Water Flow 2020 ·Nanomaterials ·Filippos Sofos, Theodoros E. Karakasidis, Ioannis E. Sarris	8
18	Digital Storytelling, Comics and New Technologies in Education: Review, Research and Perspectives. 2018 ·(unknown), Filippos Sofos, (unknown)	16
19	Darcy-Weisbach friction factor at the nanoscale: From atomistic calculations to continuum models 2017 ·Physics of Fluids ·A. Liakopoulos, Filippos Sofos, Theodoros E. Karakasidis	31
20	Effects of wall roughness on flow in nanochannels 2009 ·Physical Review E ·Filippos Sofos, Theodoros E. Karakasidis, A. Liakopoulos	88

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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