A.I. Ginnis

724 total citations
21 papers, 510 citations indexed

About

A.I. Ginnis is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Mechanics of Materials. According to data from OpenAlex, A.I. Ginnis has authored 21 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Mechanics of Materials. Recurrent topics in A.I. Ginnis's work include Advanced Numerical Analysis Techniques (17 papers), Computer Graphics and Visualization Techniques (6 papers) and Numerical methods in engineering (6 papers). A.I. Ginnis is often cited by papers focused on Advanced Numerical Analysis Techniques (17 papers), Computer Graphics and Visualization Techniques (6 papers) and Numerical methods in engineering (6 papers). A.I. Ginnis collaborates with scholars based in Greece, United Kingdom and Kazakhstan. A.I. Ginnis's co-authors include Panagiotis Kaklis, C.G. Politis, Κωνσταντίνος Κώστας, Kostas Belibassakis, Th.P. Gerostathis, Michael A. Scott, Thomas J.R. Hughes, Marios M. Fyrillas, Menelaos I. Karavelas and Christos I. Papadopoulos and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Applied Sciences and Ocean Engineering.

In The Last Decade

A.I. Ginnis

21 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.I. Ginnis Greece 12 351 222 105 80 71 21 510
C.G. Politis Greece 12 334 1.0× 222 1.0× 113 1.1× 62 0.8× 56 0.8× 14 468
Sascha Eisenträger Germany 16 228 0.6× 303 1.4× 25 0.2× 46 0.6× 53 0.7× 45 523
Albert A. Saputra Australia 19 402 1.1× 744 3.4× 38 0.4× 69 0.9× 138 1.9× 28 981
Bradley Henicke United States 7 842 2.4× 67 0.3× 32 0.3× 173 2.2× 32 0.5× 8 921
M. Shadi Mohamed United Kingdom 17 291 0.8× 351 1.6× 16 0.2× 9 0.1× 109 1.5× 57 680
Theodore Gast United States 10 651 1.9× 163 0.7× 16 0.2× 304 3.8× 45 0.6× 12 793
Pooyan Dadvand Spain 6 249 0.7× 110 0.5× 15 0.1× 23 0.3× 36 0.5× 9 421
N.‐E. Wiberg Sweden 17 560 1.6× 430 1.9× 13 0.1× 31 0.4× 70 1.0× 42 875
V. Parthasarathy United States 13 353 1.0× 126 0.6× 7 0.1× 196 2.5× 70 1.0× 23 603
Ali Hashemian Iran 14 251 0.7× 66 0.3× 48 0.5× 13 0.2× 170 2.4× 22 400

Countries citing papers authored by A.I. Ginnis

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Ginnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Ginnis. 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 A.I. Ginnis. The network helps show where A.I. Ginnis may publish in the future.

Co-authorship network of co-authors of A.I. Ginnis

This figure shows the co-authorship network connecting the top 25 collaborators of A.I. Ginnis. A scholar is included among the top collaborators of A.I. Ginnis 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 A.I. Ginnis. A.I. Ginnis 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.
Ginnis, A.I., et al.. (2022). 3D Reconstruction & Modeling of the Traditional Greek Trechadiri: “Aghia Varvara”. Heritage. 5(2). 1295–1309. 14 indexed citations
2.
Ginnis, A.I., et al.. (2022). Development of the Virtual Reality Application: “The Ships of Navarino”. Applied Sciences. 12(7). 3541–3541. 9 indexed citations
3.
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
4.
Ginnis, A.I., et al.. (2019). Parametric models for marine propellers. Ocean Engineering. 192. 106595–106595. 26 indexed citations
5.
Κώστας, Κωνσταντίνος, Marios M. Fyrillas, C.G. Politis, A.I. Ginnis, & Panagiotis Kaklis. (2018). Shape optimization of conductive-media interfaces using an IGA-BEM solver. Computer Methods in Applied Mechanics and Engineering. 340. 600–614. 21 indexed citations
6.
Κώστας, Κωνσταντίνος, A.I. Ginnis, C.G. Politis, & Panagiotis Kaklis. (2016). Shape-optimization of 2D hydrofoils using an Isogeometric BEM solver. Computer-Aided Design. 82. 79–87. 50 indexed citations
7.
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
8.
Κώστας, Κωνσταντίνος, A.I. Ginnis, C.G. Politis, & Panagiotis Kaklis. (2014). Ship-hull shape optimization with a T-spline based BEM–isogeometric solver. Computer Methods in Applied Mechanics and Engineering. 284. 611–622. 99 indexed citations
9.
Ginnis, A.I., Κωνσταντίνος Κώστας, C.G. Politis, et al.. (2014). Isogeometric boundary-element analysis for the wave-resistance problem using T-splines. Computer Methods in Applied Mechanics and Engineering. 279. 425–439. 59 indexed citations
10.
Belibassakis, Kostas, Th.P. Gerostathis, Κωνσταντίνος Κώστας, et al.. (2013). A BEM-isogeometric method for the ship wave-resistance problem. Ocean Engineering. 60. 53–67. 61 indexed citations
11.
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
12.
Belibassakis, Kostas, Th.P. Gerostathis, Κωνσταντίνος Κώστας, et al.. (2011). A BEM-Isogeometric Method With Application to the Wavemaking Resistance Problem of Ships at Constant Speed. Nazarbayev University Repository (Nazarbayev University). 95–102. 14 indexed citations
13.
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
14.
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
15.
Ginnis, A.I., Κωνσταντίνος Κώστας, C.G. Politis, & Panagiotis Kaklis. (2009). VELOS: A VR platform for ship-evacuation analysis. Computer-Aided Design. 42(11). 1045–1058. 40 indexed citations
16.
Ginnis, A.I., et al.. (2007). -smooth branching surface construction from cross sections. Computer-Aided Design. 39(8). 639–651. 12 indexed citations
17.
Ginnis, A.I., et al.. (2007). Quantifying the effect of a control point on the sign of curvature. Computing. 79(2-4). 249–259. 1 indexed citations
18.
Ginnis, A.I., et al.. (2006). Constructing smooth branching surfaces from cross sections. DSpace - NTUA (National Technical University of Athens). 161–170. 4 indexed citations
19.
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
20.
Kaklis, Panagiotis & A.I. Ginnis. (1996). Sectional-curvature preserving skinning surfaces. Computer Aided Geometric Design. 13(7). 601–619. 7 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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