David Vogt

679 total citations
19 papers, 399 citations indexed

About

David Vogt is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, David Vogt has authored 19 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in David Vogt's work include Robot Manipulation and Learning (9 papers), Human Pose and Action Recognition (7 papers) and Human Motion and Animation (6 papers). David Vogt is often cited by papers focused on Robot Manipulation and Learning (9 papers), Human Pose and Action Recognition (7 papers) and Human Motion and Animation (6 papers). David Vogt collaborates with scholars based in Germany and United States. David Vogt's co-authors include Heni Ben Amor, Bernhard Jung, Erik Berger, Jan Peters, Bernhard Schölkopf, Zhikun Wang, Marc Peter Deisenroth, Simon Stepputtis, Katharina Mülling and Marco Ewerton and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and Canadian Journal of Soil Science.

In The Last Decade

David Vogt

18 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Vogt Germany 10 229 115 90 84 67 19 399
Giovanni De Magistris Japan 12 221 1.0× 181 1.6× 71 0.8× 51 0.6× 76 1.1× 29 575
Ryo Saegusa Japan 10 144 0.6× 82 0.7× 92 1.0× 49 0.6× 77 1.1× 40 531
Amir M. Ghalamzan E. United Kingdom 15 248 1.1× 94 0.8× 132 1.5× 17 0.2× 130 1.9× 27 504
Maria Bualat United States 12 91 0.4× 53 0.5× 115 1.3× 57 0.7× 124 1.9× 43 447
Mario Gianni Italy 13 86 0.4× 73 0.6× 139 1.5× 36 0.4× 63 0.9× 36 410
Josué J. G. Ramos Brazil 12 100 0.4× 47 0.4× 95 1.1× 96 1.1× 21 0.3× 32 593
Mikael Svenstrup Denmark 8 168 0.7× 58 0.5× 141 1.6× 96 1.1× 21 0.3× 10 556
Mitch Pryor United States 10 148 0.6× 35 0.3× 75 0.8× 37 0.4× 106 1.6× 66 331
David Lees United States 13 128 0.6× 62 0.5× 78 0.9× 65 0.8× 84 1.3× 34 455
Kuan‐Ting Yu United States 7 316 1.4× 52 0.5× 216 2.4× 12 0.1× 56 0.8× 11 497

Countries citing papers authored by David Vogt

Since Specialization
Citations

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

Fields of papers citing papers by David Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vogt

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

All Works

19 of 19 papers shown
1.
Vogt, David, Heni Ben Amor, Erik Berger, & Bernhard Jung. (2024). Learning Two-Person Interaction Models for Responsive Synthetic Humanoids. 11(1). 1 indexed citations
2.
Vogt, David, Simon Stepputtis, Bernhard Jung, & Heni Ben Amor. (2018). One-shot learning of human–robot handovers with triadic interaction meshes. Autonomous Robots. 42(5). 1053–1065. 19 indexed citations
3.
Vogt, David. (2017). Learning Continuous Human-Robot Interactions from Human-Human Demonstrations. Qucosa (Saxon State and University Library Dresden).
4.
Vogt, David, et al.. (2017). A system for learning continuous human-robot interactions from human-human demonstrations. 2882–2889. 48 indexed citations
5.
6.
Berger, Erik, et al.. (2016). Estimating perturbations from experience using neural networks and Information Transfer. 11. 176–181. 5 indexed citations
7.
Berger, Erik, et al.. (2016). Experience-based torque estimation for an industrial robot. 144–149. 10 indexed citations
8.
Berger, Erik, et al.. (2015). Estimation of perturbations in robotic behavior using dynamic mode decomposition. Advanced Robotics. 29(5). 331–343. 65 indexed citations
9.
Vogt, David, et al.. (2015). Behavior generation for interactive virtual humans using context‐dependent interaction meshes and automated constraint extraction. Computer Animation and Virtual Worlds. 26(3-4). 227–235. 5 indexed citations
10.
11.
Berger, Erik, et al.. (2014). Dynamic Mode Decomposition for perturbation estimation in human robot interaction. 593–600. 12 indexed citations
12.
Berger, Erik, et al.. (2013). Inferring guidance information in cooperative human-robot tasks. 124–129. 19 indexed citations
13.
Wang, Zhikun, Katharina Mülling, Marc Peter Deisenroth, et al.. (2013). Probabilistic movement modeling for intention inference in human–robot interaction. The International Journal of Robotics Research. 32(7). 841–858. 110 indexed citations
14.
Amor, Heni Ben, David Vogt, Marco Ewerton, et al.. (2013). Learning responsive robot behavior by imitation. 3257–3264. 24 indexed citations
15.
Vogt, David, et al.. (2012). Probabilistic Modeling of Human Dynamics for Intention Inference. Spiral (Imperial College London). 4 indexed citations
16.
Wang, Zhikun, Marc Peter Deisenroth, Heni Ben Amor, et al.. (2012). Probabilistic Modeling of Human Movements for Intention Inference. 28 indexed citations
17.
18.
Berger, Erik, Heni Ben Amor, David Vogt, & Bernhard Jung. (2008). Towards a Simulator for Imitation Learning with Kinesthetic Bootstrapping. 7 indexed citations
19.
Vogt, David, et al.. (2005). Probabilistic signal interpretation methods for a thermopile pedestrian detection system. 12–17. 7 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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