G. Thierauf

73 total papers · 654 total citations
27 papers, 458 citations indexed

About

G. Thierauf is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, G. Thierauf has authored 27 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 10 papers in Computational Theory and Mathematics and 6 papers in Mechanical Engineering. Recurrent topics in G. Thierauf's work include Topology Optimization in Engineering (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Civil and Structural Engineering Research (5 papers). G. Thierauf is often cited by papers focused on Topology Optimization in Engineering (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Civil and Structural Engineering Research (5 papers). G. Thierauf collaborates with scholars based in Germany, United States and Greece. G. Thierauf's co-authors include Jianbo Cai, Michael Lawo, Ikuyo Kaneko, Nikos D. Lagaros, Manolis Papadrakakis, N.W. Murray, B.H.V. Topping, Ardeshir Bahreininejad, Jiangdong Cai and Erik Brandt and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Engineering Structures.

In The Last Decade

G. Thierauf

26 papers receiving 411 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Thierauf	272	165	125	88	50	27	458
Yonggyun Yu	245 0.9×	91 0.6×	83 0.7×	66 0.8×	71 1.4×	24	406
Yuanxian Gu	211 0.8×	158 1.0×	187 1.5×	34 0.4×	88 1.8×	37	474
W. M. Jenkins	356 1.3×	110 0.7×	65 0.5×	75 0.9×	73 1.5×	19	504
Mehmet Polat Saka	394 1.4×	148 0.9×	59 0.5×	120 1.4×	44 0.9×	13	498
Sanjay Kumar	241 0.9×	58 0.4×	67 0.5×	55 0.6×	66 1.3×	17	475
Thang Le-Duc	198 0.7×	91 0.6×	60 0.5×	88 1.0×	78 1.6×	18	461
David J. Munk	323 1.2×	181 1.1×	186 1.5×	31 0.4×	142 2.8×	31	547
Hakan Kılıç	244 0.9×	115 0.7×	208 1.7×	76 0.9×	70 1.4×	13	467
Hongyou Cao	408 1.5×	93 0.6×	67 0.5×	72 0.8×	141 2.8×	42	502
Raghavendra Sivapuram	474 1.7×	239 1.4×	327 2.6×	25 0.3×	65 1.3×	17	543

Countries citing papers authored by G. Thierauf

Since Specialization

Citations

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

Fields of papers citing papers by G. Thierauf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Thierauf

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

All Works

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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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