Panagiotis Kaklis

1.5k total citations
56 papers, 1.0k citations indexed

About

Panagiotis Kaklis is a scholar working on Computational Mechanics, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Panagiotis Kaklis has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 17 papers in Mechanical Engineering and 16 papers in Ocean Engineering. Recurrent topics in Panagiotis Kaklis's work include Advanced Numerical Analysis Techniques (34 papers), Ship Hydrodynamics and Maneuverability (11 papers) and Computer Graphics and Visualization Techniques (10 papers). Panagiotis Kaklis is often cited by papers focused on Advanced Numerical Analysis Techniques (34 papers), Ship Hydrodynamics and Maneuverability (11 papers) and Computer Graphics and Visualization Techniques (10 papers). Panagiotis Kaklis collaborates with scholars based in Greece, United Kingdom and Kazakhstan. Panagiotis Kaklis's co-authors include A.I. Ginnis, Κωνσταντίνος Κώστας, C.G. Politis, Shahroz Khan, Menelaos I. Karavelas, Kostas Belibassakis, Dimitrios G. Pandelis, Th.P. Gerostathis, Nickolas S. Sapidis and Osman Turan and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Composites Part B Engineering and SIAM Journal on Applied Mathematics.

In The Last Decade

Panagiotis Kaklis

55 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panagiotis Kaklis Greece 20 681 309 233 207 170 56 1.0k
Stefano Berrone Italy 21 944 1.4× 574 1.9× 66 0.3× 292 1.4× 52 0.3× 87 1.5k
Artem Korobenko Canada 23 1.5k 2.2× 230 0.7× 117 0.5× 77 0.4× 361 2.1× 48 1.8k
Joan Baiges Spain 20 811 1.2× 355 1.1× 37 0.2× 139 0.7× 43 0.3× 72 1.1k
Christian Rey France 19 431 0.6× 437 1.4× 79 0.3× 104 0.5× 15 0.1× 75 1.4k
Pedro Dı́ez Spain 21 761 1.1× 591 1.9× 58 0.2× 126 0.6× 20 0.1× 111 1.5k
François Guibault Canada 15 408 0.6× 235 0.8× 35 0.2× 195 0.9× 140 0.8× 97 801
Gene Hou United States 17 754 1.1× 191 0.6× 48 0.2× 121 0.6× 13 0.1× 73 1.3k
Jan Bender Germany 23 1.0k 1.5× 117 0.4× 71 0.3× 117 0.6× 537 3.2× 73 1.5k
Eusebio Valero Spain 25 1.2k 1.8× 75 0.2× 67 0.3× 177 0.9× 17 0.1× 111 1.7k
Ted D. Blacker United States 17 953 1.4× 258 0.8× 23 0.1× 100 0.5× 1.0k 6.1× 31 1.5k

Countries citing papers authored by Panagiotis Kaklis

Since Specialization
Citations

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

Fields of papers citing papers by Panagiotis Kaklis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panagiotis Kaklis

This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Kaklis. A scholar is included among the top collaborators of Panagiotis Kaklis 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 Panagiotis Kaklis. Panagiotis Kaklis 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.
Khan, Shahroz, et al.. (2024). Generative vs. Non-Generative Models in Engineering Shape Optimization. Journal of Marine Science and Engineering. 12(4). 566–566. 3 indexed citations
2.
Κώστας, Κωνσταντίνος, et al.. (2024). A physics-informed parametrization and its impact on 2D IGABEM analysis. Engineering With Computers. 40(6). 3663–3682. 2 indexed citations
3.
Khan, Shahroz, et al.. (2024). Physics-informed geometric operators to support surrogate, dimension reduction and generative models for engineering design. Advanced Engineering Informatics. 63. 102937–102937. 2 indexed citations
4.
Khan, Shahroz, Stefano Gaggero, Panagiotis Kaklis, Giuliano Vernengo, & Diego Villa. (2023). Accelerating simulation-driven optimisation of marine propellers using shape-supervised dimension reduction. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
5.
Κώστας, Κωνσταντίνος, et al.. (2023). Shape-Informed Dimensional Reduction in Airfoil/Hydrofoil Modeling. Journal of Marine Science and Engineering. 11(10). 1851–1851. 3 indexed citations
6.
Khan, Shahroz, Panagiotis Kaklis, Andrea Serani, & Matteo Diez. (2022). Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation. Computer-Aided Design. 151. 103339–103339. 20 indexed citations
7.
Kaklis, Panagiotis, et al.. (2020). An Isogeometric Boundary Element Method for 3D lifting flows using T-splines. Computer Methods in Applied Mechanics and Engineering. 373. 113556–113556. 13 indexed citations
8.
Demirel, Yiğit Kemal, et al.. (2017). Design optimisation of Propeller Boss Cap Fins for enhanced propeller performance. Applied Ocean Research. 62. 210–222. 96 indexed citations
9.
Ginnis, A.I., et al.. (2015). VELOS - A VR environment for ship applications : current status and planned extensions. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
10.
Ginnis, A.I., Kostas Belibassakis, Panagiotis Kaklis, et al.. (2011). A CATIA® Ship-Parametric Model for Isogeometric Hull Optimization with Respect to Wave Resistance. 9–20. 11 indexed citations
11.
Ginnis, A.I., et al.. (2009). A discrete methodology for controlling the sign of curvature and torsion for NURBS. Computing. 86(2-3). 117–129. 1 indexed citations
12.
Politis, C.G., et al.. (2009). An isogeometric BEM for exterior potential-flow problems in the plane. DSpace - NTUA (National Technical University of Athens). 349–354. 57 indexed citations
13.
Kaklis, Panagiotis, Paolo Costantini, Stéfanie Hahmann, & Tom Lyche. (2007). Special issue on constrained design of curves and surfaces. Computer-Aided Design. 40(1). 1–2. 2 indexed citations
14.
Ginnis, A.I., et al.. (2007). -smooth branching surface construction from cross sections. Computer-Aided Design. 39(8). 639–651. 12 indexed citations
15.
Κώστας, Κωνσταντίνος, A.I. Ginnis, & Panagiotis Kaklis. (2004). A scan-line algorithm for clustering line segments. DSpace - NTUA (National Technical University of Athens). 379–382. 3 indexed citations
16.
Karavelas, Menelaos I., Panagiotis Kaklis, & Κωνσταντίνος Κώστας. (2004). Bounding the Distance between 2D Parametric B�zier Curves and their Control Polygon. Computing. 72(1-2). 117–128. 14 indexed citations
17.
Tsouvalis, Nicholas G., et al.. (2001). Numerical modeling of composite laminated cylinders in compression using a novel imperfections modeling method. Composites Part B Engineering. 32(5). 387–399. 23 indexed citations
18.
Karavelas, Menelaos I. & Panagiotis Kaklis. (2000). Spatial shape‐preserving interpolation using ν‐splines. Numerical Algorithms. 23(2-3). 217–250. 14 indexed citations
19.
Kaklis, Panagiotis, et al.. (1999). Convexity conditions for parametric tensor‐product B‐spline surfaces. Advances in Computational Mathematics. 10(3-4). 291–309. 8 indexed citations
20.
Sapidis, N., et al.. (1989). A method for computing the tension parameters in convexity-preserving spline-in-tension interpolation. Numerische Mathematik. 54(2). 179–192. 13 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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