M. Giger

426 total citations
11 papers, 337 citations indexed

About

M. Giger is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, M. Giger has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Civil and Structural Engineering, 4 papers in Computational Theory and Mathematics and 3 papers in Computational Mechanics. Recurrent topics in M. Giger's work include Topology Optimization in Engineering (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). M. Giger is often cited by papers focused on Topology Optimization in Engineering (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). M. Giger collaborates with scholars based in Switzerland, United Kingdom and Sweden. M. Giger's co-authors include Th. Dracos, Gerhard H. Jirka, Paolo Ermanni, Marcus Redhe, Lennart E. Nilsson, Willem Roux, Nielen Stander, G. Kress and Dominik Brühwiler and has published in prestigious journals such as Journal of Fluid Mechanics, Materials and Computers & Structures.

In The Last Decade

M. Giger

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Giger Switzerland 9 124 99 79 73 69 11 337
Abdolhossein Baghlani Iran 16 403 3.3× 93 0.9× 64 0.8× 27 0.4× 42 0.6× 42 630
Volker Bertram France 8 37 0.3× 278 2.8× 98 1.2× 5 0.1× 102 1.5× 46 585
Chuan Lin China 13 250 2.0× 58 0.6× 23 0.3× 56 0.8× 11 0.2× 31 415
Shengwen Xu China 14 35 0.3× 143 1.4× 119 1.5× 4 0.1× 71 1.0× 49 480
Meirong Jiang China 14 229 1.8× 77 0.8× 24 0.3× 11 0.2× 40 0.6× 32 450
Ahmet Alper Öner Türkiye 10 180 1.5× 113 1.1× 24 0.3× 104 1.4× 25 0.4× 13 328
Mehmet Ülker Türkiye 12 505 4.1× 149 1.5× 52 0.7× 74 1.0× 9 0.1× 43 693
Luis Quiroz Japan 7 428 3.5× 36 0.4× 34 0.4× 9 0.1× 8 0.1× 11 538
Zhong Qi Yue Hong Kong 14 496 4.0× 39 0.4× 130 1.6× 18 0.2× 14 0.2× 21 836

Countries citing papers authored by M. Giger

Since Specialization
Citations

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

Fields of papers citing papers by M. Giger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Giger

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

All Works

11 of 11 papers shown
1.
Brühwiler, Dominik, et al.. (2022). Indigo—A New Tribological Substance Class for Non-Toxic and Ecological Gliding Surfaces on Ice, Snow, and Water. Materials. 15(3). 883–883. 5 indexed citations
2.
Giger, M., et al.. (2007). AORCEA – An adaptive operator rate controlled evolutionary algorithm. Computers & Structures. 85(19-20). 1547–1561. 8 indexed citations
3.
Giger, M., et al.. (2007). A graph-based parameterization concept for global laminate optimization. Structural and Multidisciplinary Optimization. 36(3). 289–305. 15 indexed citations
4.
Kress, G., et al.. (2007). Complex-shaped beam element and graph-based optimization of compliant mechanisms. Structural and Multidisciplinary Optimization. 36(4). 429–442. 14 indexed citations
5.
Giger, M. & Paolo Ermanni. (2006). Evolutionary truss topology optimization using a graph-based parameterization concept. Structural and Multidisciplinary Optimization. 32(4). 313–326. 48 indexed citations
6.
Giger, M. & Paolo Ermanni. (2005). Development of CFRP racing motorcycle rims using a heuristic evolutionary algorithm approach. Structural and Multidisciplinary Optimization. 30(1). 54–65. 18 indexed citations
7.
Redhe, Marcus, M. Giger, & Lennart E. Nilsson. (2004). An investigation of structural optimization in crashworthiness design using a stochastic approach. Structural and Multidisciplinary Optimization. 27(6). 43 indexed citations
8.
Stander, Nielen, et al.. (2004). A Comparison of Metamodeling Techniques for Crashworthiness Optimization. 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 40 indexed citations
9.
Dracos, Th., M. Giger, & Gerhard H. Jirka. (1992). Plane turbulent jets in a bounded fluid layer. Journal of Fluid Mechanics. 241. 587–614. 89 indexed citations
10.
Giger, M., Th. Dracos, & Gerhard H. Jirka. (1991). Entrainment and mixing in plane turbulent jets in shallow water. Journal of Hydraulic Research. 29(5). 615–642. 57 indexed citations
11.
Giger, M., et al.. (1985). Meandering jets in a shallow fluid layer.

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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