Thomas Thurner

95 total papers · 592 total citations
42 papers, 387 citations indexed

About

Thomas Thurner is a scholar working on Mechanical Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Thurner has authored 42 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 10 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Thurner's work include Advanced Measurement and Metrology Techniques (7 papers), Optical measurement and interference techniques (7 papers) and Advanced Optical Sensing Technologies (6 papers). Thomas Thurner is often cited by papers focused on Advanced Measurement and Metrology Techniques (7 papers), Optical measurement and interference techniques (7 papers) and Advanced Optical Sensing Technologies (6 papers). Thomas Thurner collaborates with scholars based in Austria, Germany and United Kingdom. Thomas Thurner's co-authors include Georg Schitter, David Brunner, Han Woong Yoo, Norbert Druml, R. París, Hermann Kopetz, G. Brasseur, Gernot Plank, E. Hofer and Vicente Climent and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Biosensors and Bioelectronics and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Thomas Thurner

36 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas Thurner 180 88 75 62 59 42 387
Chul-Woo Park 163 0.9× 30 0.3× 37 0.5× 5 0.1× 60 1.0× 58 400
Ching-Hwa Cheng 180 1.0× 17 0.2× 8 0.1× 100 1.6× 82 1.4× 72 436
Huimin Gao 113 0.6× 8 0.1× 21 0.3× 14 0.2× 150 2.5× 48 396
Han Woong Yoo 209 1.2× 85 1.0× 114 1.5× 2 0.0× 115 1.9× 33 439
David Salido-Monzú 239 1.3× 36 0.4× 19 0.3× 3 0.0× 42 0.7× 39 406
Quanyuan Feng 88 0.5× 15 0.2× 6 0.1× 21 0.3× 19 0.3× 41 354
José M. Rebordão 89 0.5× 19 0.2× 72 1.0× 3 0.0× 32 0.5× 67 360
G. Benet 129 0.7× 19 0.2× 3 0.0× 42 0.7× 46 0.8× 37 432
David Fugate 160 0.9× 15 0.2× 9 0.1× 8 0.1× 14 0.2× 33 359
Peiyu Chen 196 1.1× 12 0.1× 3 0.0× 24 0.4× 33 0.6× 34 391

Countries citing papers authored by Thomas Thurner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Thurner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Thurner

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