Georg Glaeser

376 total papers · 632 total citations
32 papers, 224 citations indexed

About

Georg Glaeser is a scholar working on Biomedical Engineering, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Georg Glaeser has authored 32 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Georg Glaeser's work include Advanced Numerical Analysis Techniques (7 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (6 papers) and Computational Geometry and Mesh Generation (5 papers). Georg Glaeser is often cited by papers focused on Advanced Numerical Analysis Techniques (7 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (6 papers) and Computational Geometry and Mesh Generation (5 papers). Georg Glaeser collaborates with scholars based in Austria, Germany and United States. Georg Glaeser's co-authors include Helmut Pottmann, Johannes Wallner, Hellmuth Stachel, Boris Odehnal, Bahram Ravani, Hannes F. Paulus, Werner Nachtigall, Eduard Gröller, Hans-Peter Schröcker and Giovanni Del Galdo and has published in prestigious journals such as Journal of Mechanical Design, Computer-Aided Design and The Visual Computer.

In The Last Decade

Georg Glaeser

29 papers receiving 198 citations

Author Peers

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

Author						Papers	Cites
Georg Glaeser	81	51	49	46	44	32	224
Gábor Lukács	93 1.1×	19 0.4×	97 2.0×	8 0.2×	53 1.2×	23	254
L.-E. Andersson	77 1.0×	10 0.2×	25 0.5×	23 0.5×	61 1.4×	21	296
Mamoru Hosaka	196 2.4×	53 1.0×	56 1.1×	18 0.4×	141 3.2×	22	280
Fernaß Daoud	75 0.9×	13 0.3×	6 0.1×	20 0.4×	29 0.7×	24	296
Wendelin Degen	178 2.2×	12 0.2×	20 0.4×	31 0.7×	105 2.4×	30	239
Sibel Tarı	46 0.6×	8 0.2×	212 4.3×	6 0.1×	17 0.4×	31	257
Boris Odehnal	82 1.0×	6 0.1×	31 0.6×	21 0.5×	50 1.1×	31	171
Hugues Favrelière	111 1.4×	68 1.3×	71 1.4×	35 0.8×	24 0.5×	19	274
Toshinobu Harada	192 2.4×	21 0.4×	90 1.8×	30 0.7×	68 1.5×	29	286
Qin Zhang	43 0.5×	9 0.2×	24 0.5×	42 0.9×	19 0.4×	37	288

Countries citing papers authored by Georg Glaeser

Since Specialization

Citations

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

Fields of papers citing papers by Georg Glaeser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Glaeser

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Glaeser. A scholar is included among the top collaborators of Georg Glaeser 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 Georg Glaeser. Georg Glaeser 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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