Georg Arbeiter

501 total citations
18 papers, 226 citations indexed

About

Georg Arbeiter is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Georg Arbeiter has authored 18 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Georg Arbeiter's work include Robotics and Sensor-Based Localization (9 papers), Robot Manipulation and Learning (4 papers) and 3D Surveying and Cultural Heritage (3 papers). Georg Arbeiter is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Robot Manipulation and Learning (4 papers) and 3D Surveying and Cultural Heritage (3 papers). Georg Arbeiter collaborates with scholars based in Germany, United Kingdom and Czechia. Georg Arbeiter's co-authors include Jan Fischer, Stefan Milz, Senthil Yogamani, Richard Bormann, Alexander Verl, Birgit Graf, Florian Weißhardt, Michael Burmester, Marcus Mast and Renxi Qiu and has published in prestigious journals such as International Journal of Social Robotics, ORCA Online Research @Cardiff (Cardiff University) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Georg Arbeiter

16 papers receiving 206 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Georg Arbeiter Germany 7 108 74 61 48 42 18 226
K. Dawson‐Howe Ireland 8 106 1.0× 40 0.5× 35 0.6× 39 0.8× 34 0.8× 18 285
Luca Marchionni Italy 5 83 0.8× 92 1.2× 52 0.9× 66 1.4× 37 0.9× 11 231
Florian Weißhardt Germany 8 89 0.8× 47 0.6× 46 0.8× 79 1.6× 39 0.9× 16 187
Melonee Wise United States 3 125 1.2× 67 0.9× 67 1.1× 175 3.6× 44 1.0× 3 292
Özgür Erkent Türkiye 9 161 1.5× 105 1.4× 39 0.6× 43 0.9× 22 0.5× 26 278
Marco Andreetto Italy 10 177 1.6× 71 1.0× 23 0.4× 27 0.6× 19 0.5× 25 275
Carlos Agüero Spain 6 79 0.7× 53 0.7× 38 0.6× 77 1.6× 30 0.7× 18 242
Ludovic Brèthes France 8 118 1.1× 37 0.5× 30 0.5× 34 0.7× 22 0.5× 11 226
Niklas Bergström Japan 10 174 1.6× 94 1.3× 35 0.6× 129 2.7× 34 0.8× 26 318
Christian Dondrup United Kingdom 10 151 1.4× 56 0.8× 153 2.5× 74 1.5× 163 3.9× 40 355

Countries citing papers authored by Georg Arbeiter

Since Specialization
Citations

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

Fields of papers citing papers by Georg Arbeiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Arbeiter

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

All Works

18 of 18 papers shown
2.
Arbeiter, Georg, Jan Fischer, & Alexander Verl. (2022). 3-D-environment reconstruction for mobile robots using fast- SLAM and feature extraction. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5.
3.
Milz, Stefan, et al.. (2018). Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning. 360–36010. 74 indexed citations
4.
Mast, Marcus, Michael Burmester, Birgit Graf, et al.. (2014). Entwurf der Mensch-Roboter-Interaktion für einen semiautonomen Serviceroboter zur Unterstützung älterer Menschen. 1 indexed citations
5.
Arbeiter, Georg, et al.. (2014). Efficient segmentation and surface classification of range images. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 36. 5502–5509. 4 indexed citations
6.
Mast, Marcus, Zdeněk Materna, Michal Španěl, et al.. (2014). Semi-Autonomous Domestic Service Robots: Evaluation of a User Interface for Remote Manipulation and Navigation With Focus on Effects of Stereoscopic Display. International Journal of Social Robotics. 7(2). 183–202. 20 indexed citations
7.
Qiu, Renxi, Ze Ji, Georg Arbeiter, et al.. (2013). The Development of a Semi-Autonomous Framework for Personal Assistant Robots - SRS Project. ORCA Online Research @Cardiff (Cardiff University). 3(4). 30–47. 3 indexed citations
8.
Bormann, Richard, Florian Weißhardt, Georg Arbeiter, & Jan Fischer. (2013). Autonomous dirt detection for cleaning in office environments. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1260–1267. 17 indexed citations
9.
Fischer, Jan, Richard Bormann, Georg Arbeiter, & Alexander Verl. (2013). A feature descriptor for texture-less object representation using 2D and 3D cues from RGB-D data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 30. 2112–2117. 7 indexed citations
10.
Bormann, Richard, Jan Fischer, Georg Arbeiter, Florian Weißhardt, & Alexander Verl. (2012). A Visual Dirt Detection System for Mobile Service Robots. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 4 indexed citations
11.
Arbeiter, Georg, et al.. (2012). Efficient Monitoring of Process Plants by Telepresence and Attention Guidance. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 2 indexed citations
12.
Mast, Marcus, Michael Burmester, K. Krüger, et al.. (2012). User-Centered Design of a Dynamic-Autonomy Remote Interaction Concept for Manipulation-Capable Robots to Assist Elderly People in the Home. KTH Publication Database DiVA (KTH Royal Institute of Technology). 96–118. 56 indexed citations
13.
Qiu, Renxi, Ze Ji, Anthony Soroka, et al.. (2012). Integration of Symbolic Task Planning into Operations within an Unstructured Environment. ORCA Online Research @Cardiff (Cardiff University). 2(3). 38–57. 4 indexed citations
14.
Arbeiter, Georg, et al.. (2012). Evaluation of 3D feature descriptors for classification of surface geometries in point clouds. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1644–1650. 17 indexed citations
15.
Fischer, Jan, Georg Arbeiter, Richard Bormann, & Alexander Verl. (2012). A framework for object training and 6 DoF pose estimation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 3 indexed citations
16.
Bormann, Richard, Jan Fischer, Georg Arbeiter, & Alexander Verl. (2012). Adding rotational robustness to the Surface-Approximation Polynomials descriptor. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3515. 409–416. 1 indexed citations
17.
Fischer, Jan, Georg Arbeiter, & Alexander Verl. (2011). Combination of Time-of-Flight depth and stereo using semiglobal optimization. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3548–3553. 11 indexed citations
18.
Arbeiter, Georg, et al.. (2010). Teleoperierte mobile Roboter warten Prozessanlagen. atp magazin. 52(5). 44–44. 2 indexed citations

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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