Justin Bayer

1.1k total citations
12 papers, 138 citations indexed

About

Justin Bayer is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Justin Bayer has authored 12 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Human-Computer Interaction. Recurrent topics in Justin Bayer's work include Muscle activation and electromyography studies (4 papers), Hand Gesture Recognition Systems (4 papers) and Music and Audio Processing (3 papers). Justin Bayer is often cited by papers focused on Muscle activation and electromyography studies (4 papers), Hand Gesture Recognition Systems (4 papers) and Music and Audio Processing (3 papers). Justin Bayer collaborates with scholars based in Germany, United States and Pakistan. Justin Bayer's co-authors include Patrick van der Smagt, Christian Osendorfer, Nutan Chen, Jörn Vogel, Hannes Höppner, S. H. Suyu, J. H. H. Chan, Dominique Sluse, Wolfgang Kerzendorf and S. Taubenberger and has published in prestigious journals such as Astronomy and Astrophysics, Frontiers in Neurorobotics and arXiv (Cornell University).

In The Last Decade

Justin Bayer

12 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Bayer Germany	7	50	36	35	29	25	12	138
Leonard Hasenclever United Kingdom	6	26 0.5×	33 0.9×	74 2.1×	9 0.3×	73 2.9×	9	153
Erik Berger Germany	9	29 0.6×	59 1.6×	108 3.1×	13 0.4×	18 0.7×	15	219
David Weikersdorfer Germany	7	25 0.5×	16 0.4×	44 1.3×	34 1.2×	92 3.7×	8	235
Jiuqiang Tang United States	4	28 0.6×	18 0.5×	18 0.5×	18 0.6×	51 2.0×	5	141
Dipali Bansal India	8	92 1.8×	36 1.0×	8 0.2×	79 2.7×	38 1.5×	56	258
Aziz Benlarbi‐Delaï France	10	112 2.2×	31 0.9×	8 0.2×	15 0.5×	15 0.6×	59	300
Hadon Nash United States	4	26 0.5×	14 0.4×	21 0.6×	16 0.6×	43 1.7×	5	128
Reem Kateb Canada	5	14 0.3×	53 1.5×	51 1.5×	68 2.3×	11 0.4×	13	208
Sheikh Md. Rabiul Islam Bangladesh	8	56 1.1×	25 0.7×	9 0.3×	84 2.9×	28 1.1×	53	208
Manfred Georg United States	6	33 0.7×	41 1.1×	16 0.5×	16 0.6×	94 3.8×	13	212

Countries citing papers authored by Justin Bayer

Since Specialization

Citations

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

Fields of papers citing papers by Justin Bayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Bayer

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Bayer, Justin, S. Huber, C. Vogl, et al.. (2021). HOLISMOKES. Astronomy and Astrophysics. 653. A29–A29. 14 indexed citations

2.

Mirchev, Atanas, et al.. (2021). Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. 1 indexed citations

3.

Mirchev, Atanas, et al.. (2018). Approximate Bayesian inference in spatial environments. arXiv (Cornell University). 15. 2 indexed citations

4.

Chen, Nutan, et al.. (2017). Metrics for Deep Generative Models. International Conference on Artificial Intelligence and Statistics. 1540–1550. 6 indexed citations

5.

Höppner, Hannes, et al.. (2017). Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography. Frontiers in Neurorobotics. 11. 17–17. 15 indexed citations

6.

Bayer, Justin. (2015). Learning Sequence Representations. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 20 indexed citations

7.

Chen, Nutan, et al.. (2015). Measuring fingertip forces from camera images for random finger poses. 1216–1221. 5 indexed citations

8.

Chen, Nutan, et al.. (2015). Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders. 434–440. 23 indexed citations

9.

Bayer, Justin & Christian Osendorfer. (2014). Learning Stochastic Recurrent Networks. mediaTUM (Technical University of Munich). 14 indexed citations

10.

Chen, Nutan, et al.. (2014). Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. 3137–3142. 10 indexed citations

11.

Vogel, Jörn, Justin Bayer, & Patrick van der Smagt. (2013). Continuous robot control using surface electromyography of atrophic muscles. elib (German Aerospace Center). 845–850. 23 indexed citations

12.

Bayer, Justin, et al.. (2013). Computing grip force and torque from finger nail images using Gaussian processes. mediaTUM (Technical University of Munich). 4034–4039. 5 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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