Michael Hornáček

11 total papers · 426 total citations
9 papers, 290 citations indexed

About

Michael Hornáček is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Michael Hornáček has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Environmental Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Michael Hornáček's work include 3D Surveying and Cultural Heritage (3 papers), Advanced Vision and Imaging (3 papers) and Robotics and Sensor-Based Localization (2 papers). Michael Hornáček is often cited by papers focused on 3D Surveying and Cultural Heritage (3 papers), Advanced Vision and Imaging (3 papers) and Robotics and Sensor-Based Localization (2 papers). Michael Hornáček collaborates with scholars based in Austria, Germany and United States. Michael Hornáček's co-authors include Carsten Rother, Christoph Rhemann, Margrit Gelautz, Marcela Doubková, Wolfgang Wagner, Daniel Sabel, Hong‐Linh Truong, Andrew Fitzgibbon, P. Snoeij and Stefan Maierhofer and has published in prestigious journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and CIRP journal of manufacturing science and technology.

In The Last Decade

Michael Hornáček

9 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Hornáček 136 114 84 79 53 9 290
Liupeng Lin 84 0.6× 106 0.9× 101 1.2× 53 0.7× 99 1.9× 25 291
Wei-Hao Wu 139 1.0× 43 0.4× 35 0.4× 58 0.7× 88 1.7× 9 323
Chenchen Jiang 157 1.2× 49 0.4× 42 0.5× 81 1.0× 98 1.8× 17 292
Scott Mason 140 1.0× 104 0.9× 20 0.2× 63 0.8× 64 1.2× 17 320
Zhen Wen 132 1.0× 58 0.5× 24 0.3× 39 0.5× 36 0.7× 13 307
Dajun Li 102 0.8× 128 1.1× 27 0.3× 54 0.7× 64 1.2× 24 304
Yves Egels 88 0.6× 105 0.9× 30 0.4× 85 1.1× 13 0.2× 9 295
Konrad Heidler 47 0.3× 52 0.5× 129 1.5× 22 0.3× 48 0.9× 21 282
Hamed Amini Amirkolaee 94 0.7× 153 1.3× 31 0.4× 28 0.4× 60 1.1× 20 306
Wenfu Wu 49 0.4× 84 0.7× 66 0.8× 40 0.5× 94 1.8× 20 314

Countries citing papers authored by Michael Hornáček

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hornáček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hornáček

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