Hartmut Seichter

61 total papers · 1.3k total citations
44 papers, 783 citations indexed

About

Hartmut Seichter is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Automotive Engineering. According to data from OpenAlex, Hartmut Seichter has authored 44 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 27 papers in Human-Computer Interaction and 8 papers in Automotive Engineering. Recurrent topics in Hartmut Seichter's work include Augmented Reality Applications (33 papers), Interactive and Immersive Displays (24 papers) and Virtual Reality Applications and Impacts (17 papers). Hartmut Seichter is often cited by papers focused on Augmented Reality Applications (33 papers), Interactive and Immersive Displays (24 papers) and Virtual Reality Applications and Impacts (17 papers). Hartmut Seichter collaborates with scholars based in Austria, New Zealand and Germany. Hartmut Seichter's co-authors include Mark Billinghurst, Raphaël Grasset, Dieter Schmalstieg, Alessandro Mulloni, Julian Looser, Andreas Dünser, Marc Aurel Schnabel, Andreas Duenser, Jens Grubert and Denis Kalkofen and has published in prestigious journals such as Pervasive and Mobile Computing, International Journal of Architectural Computing and IEE Review.

In The Last Decade

Hartmut Seichter

44 papers receiving 706 citations

Author Peers

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

Author						Papers	Cites
Hartmut Seichter	607	490	111	92	69	44	783
L. Miguel Encarnação	600 1.0×	591 1.2×	44 0.4×	54 0.6×	49 0.7×	43	878
Haikun Huang	370 0.6×	312 0.6×	33 0.3×	44 0.5×	36 0.5×	34	877
Wende Zhang	323 0.5×	134 0.3×	215 1.9×	64 0.7×	30 0.4×	41	767
Jason Orlosky	397 0.7×	499 1.0×	46 0.4×	43 0.5×	19 0.3×	74	828
Sehat Ullah	275 0.5×	232 0.5×	38 0.3×	66 0.7×	19 0.3×	66	678
Keihachiro Tachibana	493 0.8×	370 0.8×	34 0.3×	121 1.3×	49 0.7×	31	634
Timo Engelke	528 0.9×	469 1.0×	50 0.5×	40 0.4×	71 1.0×	19	751
Federico Manuri	369 0.6×	307 0.6×	29 0.3×	49 0.5×	51 0.7×	27	662
Stefano Burigat	354 0.6×	316 0.6×	184 1.7×	29 0.3×	13 0.2×	20	678
Marcos Fernández	245 0.4×	163 0.3×	81 0.7×	105 1.1×	48 0.7×	89	837

Countries citing papers authored by Hartmut Seichter

Since Specialization

Citations

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

Fields of papers citing papers by Hartmut Seichter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hartmut Seichter

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