K. Mathioudakis

3.2k total citations
181 papers, 2.5k citations indexed

About

K. Mathioudakis is a scholar working on Aerospace Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, K. Mathioudakis has authored 181 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Aerospace Engineering, 54 papers in Mechanical Engineering and 52 papers in Automotive Engineering. Recurrent topics in K. Mathioudakis's work include Turbomachinery Performance and Optimization (53 papers), Technical Engine Diagnostics and Monitoring (47 papers) and Advanced Sensor Technologies Research (42 papers). K. Mathioudakis is often cited by papers focused on Turbomachinery Performance and Optimization (53 papers), Technical Engine Diagnostics and Monitoring (47 papers) and Advanced Sensor Technologies Research (42 papers). K. Mathioudakis collaborates with scholars based in Greece, Belgium and United Kingdom. K. Mathioudakis's co-authors include A. Stamatis, N. Aretakis, K. D. Papailiou, Ioannis Roumeliotis, A. Alexiou, Alessandro Leonardi, Vangelis Gazis, Euripidis Loukis, Florian Zeiger and Alexander Wiesmaier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy.

In The Last Decade

K. Mathioudakis

174 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Mathioudakis Greece 28 875 708 549 466 387 181 2.5k
Javad Mohammadpour United States 28 1.3k 1.5× 215 0.3× 801 1.5× 382 0.8× 48 0.1× 142 2.7k
Dirk Abel Germany 22 1.4k 1.6× 410 0.6× 727 1.3× 347 0.7× 114 0.3× 445 3.3k
Jinquan Huang China 23 833 1.0× 254 0.4× 155 0.3× 129 0.3× 199 0.5× 113 1.4k
Felipe Viana United States 27 523 0.6× 321 0.5× 624 1.1× 102 0.2× 288 0.7× 87 3.0k
Bram de Jager Netherlands 28 1.1k 1.2× 480 0.7× 736 1.3× 204 0.4× 27 0.1× 187 2.7k
Garret N. Vanderplaats United States 21 335 0.4× 580 0.8× 650 1.2× 164 0.4× 893 2.3× 56 3.2k
Xueguan Song China 34 609 0.7× 251 0.4× 1.5k 2.7× 280 0.6× 553 1.4× 219 4.5k
James T. Allison United States 21 430 0.5× 305 0.4× 347 0.6× 65 0.1× 108 0.3× 133 1.7k
Shuai Zhao China 22 658 0.8× 170 0.2× 323 0.6× 93 0.2× 98 0.3× 80 2.1k
Yaoyu Li United States 31 1.3k 1.5× 421 0.6× 883 1.6× 166 0.4× 130 0.3× 163 3.6k

Countries citing papers authored by K. Mathioudakis

Since Specialization
Citations

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

Fields of papers citing papers by K. Mathioudakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Mathioudakis

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

All Works

20 of 20 papers shown
1.
Aretakis, N., et al.. (2025). A flexible approach for accurate supercritical CO2 cycle performance modeling. The Journal of Supercritical Fluids. 222. 106604–106604.
2.
3.
Aretakis, N., et al.. (2024). Model-Assisted Probabilistic Neural Networks for Effective Turbofan Fault Diagnosis. Aerospace. 11(11). 913–913.
4.
Mathioudakis, K., N. Aretakis, & A. Alexiou. (2024). Determining Steady-State Operation Criteria Using Transient Performance Modelling and Steady-State Diagnostics. Applied Sciences. 14(7). 2863–2863. 3 indexed citations
5.
Mathioudakis, K., et al.. (2024). Signatures of Compressor and Turbine Faults in Gas Turbine Performance Diagnostics: A Review. Energies. 17(14). 3409–3409. 4 indexed citations
6.
Lazaridou, Elizabeth, et al.. (2024). Drug survival of biologics in patients with psoriasis: real-world evidence for Greece during the period 2016–2020. Clinical and Experimental Dermatology. 49(12). 1573–1581. 1 indexed citations
7.
Terentes‐Printzios, Dimitrios, Ioanna Dima, Panorios Benardos, et al.. (2024). Real-world data on treatment patterns in at least high cardiovascular risk patients on dual and triple lipid lowering therapy in a Hellenic nationwide e-prescription database. International Journal of Cardiology Cardiovascular Risk and Prevention. 21. 200261–200261.
8.
Bournia, Vasiliki-Kalliopi, G. Fragoulis, Panagiota Mitrou, et al.. (2023). Outcomes of COVID-19 Omicron variant in patients with rheumatoid arthritis: a nationwide Greek cohort study. Lara D. Veeken. 63(4). 1130–1138. 10 indexed citations
9.
Aretakis, N., et al.. (2023). A Tool for the Design of Turbomachinery Disks for an Aero-Engine Preliminary Design Framework. Aerospace. 10(5). 460–460. 1 indexed citations
10.
Alexiou, A., et al.. (2023). Aero-Engine Preliminary Design Optimization and Operability Studies Supported by a Compressor Mean-Line Design Module. Aerospace. 10(8). 726–726. 1 indexed citations
11.
Alexiou, A., et al.. (2023). A Simplified Chemical Reactor Network Approach for Aeroengine Combustion Chamber Modeling and Preliminary Design. Aerospace. 11(1). 22–22. 4 indexed citations
12.
Bournia, Vasiliki-Kalliopi, G. Fragoulis, Panagiota Mitrou, et al.. (2022). Different COVID-19 outcomes among systemic rheumatic diseases: a nation-wide cohort study. Lara D. Veeken. 62(3). 1047–1056. 17 indexed citations
13.
Yavropoulou, Maria P., Polyzois Makras, Kostas Athanasakis, et al.. (2022). Prevalence and patterns of anti-osteoporotic drug use based on 2019 real-world nationwide data in Greece. Archives of Osteoporosis. 17(1). 86–86. 4 indexed citations
14.
15.
Alexiou, A., et al.. (2021). Axial Compressor Mean-Line Analysis: Choking Modelling and Fully-Coupled Integration in Engine Performance Simulations. International Journal of Turbomachinery Propulsion and Power. 6(1). 4–4. 7 indexed citations
16.
Aretakis, N., et al.. (2020). Application of an advanced adaptation methodology for gas turbine performance monitoring. Proceedings. 3 indexed citations
17.
Gazis, Vangelis, Marco F. Huber, Alessandro Leonardi, et al.. (2015). Short Paper: IoT: Challenges, projects, architectures. 145–147. 48 indexed citations
18.
Merentitis, Andreas, et al.. (2013). WSN Trends: Sensor Infrastructure Virtualization as a Driver Towards the Evolution of the Internet of Things. 113–118. 13 indexed citations
19.
Stamatis, A., et al.. (2003). Optimizing Diagnostic Effectiveness of Mixed Turbofans by Means of Adaptive Modelling and Choice of Appropriate Monitoring Parameters. Defense Technical Information Center (DTIC). 4 indexed citations
20.
Stamatis, A., et al.. (1997). Incorporating Neural Networks Into Gas Turbine Performance Diagnostics. Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award. 45 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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