Manuel Huber

594 citations
32 papers · 293 indexed · h-index 10
Topics
Augmented Reality Applications (12 papers)Security and Verification in Computing (10 papers)Robotics and Sensor-Based Localization (7 papers)
Journals
Computers & SecurityIEEE Pervasive ComputingmediaTUM (Technical University of Munich)

In The Last Decade

Manuel Huber

32 papers receiving 277 citations

Peers

Manuel Huber
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 141
  • Human-Computer Interaction 103
  • Artificial Intelligence 60
  • Computer Networks and Communications 57
  • Aerospace Engineering 53
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Countries citing papers authored by Manuel Huber

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Huber

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 40
4 13
5 9
6 14
7 7
8 2
9
Temporal Calibration in Multisensor Tracking Setups.
3
10 9
11
Parasitic Tracking for Ubiquitous Augmented Reality
1
12 4
13
Hybrid approach for management of patient-related information in mass casualty incidents
3
14
Development and evaluation of a virtual reality patient simulation (VRPS)
3
15 3
16 1
17
Tracking for Distributed Mixed Reality Environments
7
18 33
19
Hand tracking for enhanced gesture recognition on interactive multi-touch surfaces
5
20 18

About Manuel Huber

Manuel Huber is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 32 papers that have together received 293 indexed citations. Recurring topics across this work include Augmented Reality Applications (12 papers), Security and Verification in Computing (10 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Human-Computer Interaction (103 citations), Computer Vision and Pattern Recognition (141 citations) and Signal Processing (41 citations). Manuel Huber has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Gudrun Klinker, Florian Echtler, Michael Schlegel, Martin Bauer, Dieter Schmalstieg, Marcus Peinado, Claudia Eckert, Sangho Lee, P. England and Meng Xu. Their work appears in journals such as Computers & Security, IEEE Pervasive Computing and mediaTUM (Technical University of Munich).

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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