K. D. Papailiou

914 total citations
78 papers, 724 citations indexed

About

K. D. Papailiou is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, K. D. Papailiou has authored 78 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Aerospace Engineering, 32 papers in Computational Mechanics and 32 papers in Mechanical Engineering. Recurrent topics in K. D. Papailiou's work include Turbomachinery Performance and Optimization (35 papers), Computational Fluid Dynamics and Aerodynamics (25 papers) and Refrigeration and Air Conditioning Technologies (20 papers). K. D. Papailiou is often cited by papers focused on Turbomachinery Performance and Optimization (35 papers), Computational Fluid Dynamics and Aerodynamics (25 papers) and Refrigeration and Air Conditioning Technologies (20 papers). K. D. Papailiou collaborates with scholars based in Greece, France and Switzerland. K. D. Papailiou's co-authors include K. Mathioudakis, A. Stamatis, Euripidis Loukis, P. Chaviaropoulos, V. Dedoussis, N. Aretakis, Athanasios G. Papathanasiou, Kyriakos C. Giannakoglou, A. Doukelis and Matthew K. Smith and has published in prestigious journals such as Journal of Fluid Mechanics, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

In The Last Decade

K. D. Papailiou

73 papers receiving 690 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. D. Papailiou Greece 14 301 218 194 193 133 78 724
N. Aretakis Greece 16 225 0.7× 172 0.8× 84 0.4× 239 1.2× 121 0.9× 68 633
Ten-Huei Guo United States 16 429 1.4× 157 0.7× 109 0.6× 627 3.2× 94 0.7× 56 1.1k
Aviv Rosen Israel 17 508 1.7× 128 0.6× 267 1.4× 322 1.7× 113 0.8× 50 1.0k
Lorenzo Trainelli Italy 14 278 0.9× 108 0.5× 108 0.6× 415 2.2× 71 0.5× 72 805
Jason Blough United States 15 62 0.2× 275 1.3× 116 0.6× 188 1.0× 132 1.0× 73 689
Avisekh Banerjee Canada 10 65 0.2× 138 0.6× 49 0.3× 174 0.9× 96 0.7× 28 399
Ranjan Vepa United Kingdom 12 279 0.9× 71 0.3× 119 0.6× 176 0.9× 77 0.6× 61 637
Giacomo Frulla Italy 15 465 1.5× 142 0.7× 111 0.6× 110 0.6× 44 0.3× 106 816
Houman Hanachi Canada 10 75 0.2× 159 0.7× 25 0.1× 239 1.2× 83 0.6× 22 485
Ohad Gur Israel 15 659 2.2× 30 0.1× 311 1.6× 55 0.3× 89 0.7× 30 835

Countries citing papers authored by K. D. Papailiou

Since Specialization
Citations

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

Fields of papers citing papers by K. D. Papailiou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. D. Papailiou

This figure shows the co-authorship network connecting the top 25 collaborators of K. D. Papailiou. A scholar is included among the top collaborators of K. D. Papailiou 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. D. Papailiou. K. D. Papailiou 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.
Politis, E. S., Kyriakos C. Giannakoglou, & K. D. Papailiou. (1997). Axial Compressor Stage Analysis Through a Multi-Block 3-D Navier-Stokes Solution Method. Volume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery.
2.
Doukelis, A., Maria A. Founti, K. Mathioudakis, & K. D. Papailiou. (1996). Evaluation of beam refraction effects in a 3D laser Doppler anemometry system for turbomachinery applications. Measurement Science and Technology. 7(6). 922–931. 7 indexed citations
3.
Nikolos, Ioannis K., et al.. (1996). The Prediction of the Tip Clearance Vortex Circulation and its Induced Flow Field in Axial Flow Machines. Volume 1: Turbomachinery. 2 indexed citations
4.
Chaviaropoulos, P., et al.. (1995). A design method for stator cascades with stream surface of revolution using natural coordinates. Inverse problems in engineering. 2(2). 119–139.
5.
Chaviaropoulos, P., V. Dedoussis, & K. D. Papailiou. (1995). On the 3-D inverse potential target pressure problem. Part 1. Theoretical aspects and method formulation. Journal of Fluid Mechanics. 282. 131–146. 14 indexed citations
6.
Dedoussis, V., K. Mathioudakis, & K. D. Papailiou. (1994). Numerical Simulation of Blade Fault Signatures From Unsteady Wall Pressure Signals. Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General. 3 indexed citations
7.
Giannakoglou, Kyriakos C., et al.. (1994). Analysis of Transonic Turbomachinery Flows Using a 2-D Explicit Low-Reynolds k-ε Navier-Stokes Solver. Volume 1: Turbomachinery. 2 indexed citations
8.
Chaviaropoulos, P., et al.. (1993). An Inverse Inviscid Method for the Design of Quasi-Three-Dimensional Turbomachinery Cascades. Journal of Fluids Engineering. 115(1). 121–127. 6 indexed citations
10.
Dedoussis, V., P. Chaviaropoulos, & K. D. Papailiou. (1992). A 3-D Inverse Methodology Applied to the Design of Axisymmetric Ducts. Volume 1: Turbomachinery. 4 indexed citations
11.
Mathioudakis, K., Athanasios G. Papathanasiou, Euripidis Loukis, & K. D. Papailiou. (1991). Fast Response Wall Pressure Measurement as a Means of Gas Turbine Blade Fault Identification. Journal of Engineering for Gas Turbines and Power. 113(2). 269–275. 25 indexed citations
12.
Stamatis, A., et al.. (1991). Jet engine fault detection with discrete operating points gas path analysis. Journal of Propulsion and Power. 7(6). 1043–1048. 45 indexed citations
13.
Mathioudakis, K., Athanasios G. Papathanasiou, Euripidis Loukis, & K. D. Papailiou. (1990). Fast Response Wall Pressure Measurement as a Means of Gas Turbine Blade Fault Identification. 1 indexed citations
14.
Chaviaropoulos, P., Kyriakos C. Giannakoglou, & K. D. Papailiou. (1990). Novel scalar-vector potential formulation for three-dimensional, inviscid, rotational flow problems. AIAA Journal. 28(10). 1734–1739. 2 indexed citations
15.
Kaldellis, J.K., et al.. (1990). A Secondary Flow Calculation Method for Single-Stage Axial Transonic Flow Compressors, Including Shock-Secondary Flow Interaction. Journal of Turbomachinery. 112(4). 652–668. 1 indexed citations
16.
Schmidt, Wolfgang M., et al.. (1989). Technical Status Review on Drag Prediction and Analysis from Computational Fluid Dynamics: State of the Art. 8 indexed citations
17.
Stamatis, A. & K. D. Papailiou. (1988). Discrete operating conditions gas path analysis. 11 indexed citations
18.
Papailiou, K. D. & Gérard Bois. (1984). A Contribution to the Study of the Design of an Industrial Centrifugal Compressor. Volume 1: Turbomachinery. 1 indexed citations
19.
Charnay, G., et al.. (1982). An Experiment Concerning the Confluence of a Wake and a Boundary Layer. Journal of Fluids Engineering. 104(1). 18–23. 19 indexed citations
20.
Papailiou, K. D.. (1969). An investigation on Le Foll's method used for blade optimization based on boundary layer concepts. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026