N. Michael Mayer

4.9k total citations · 1 hit paper
32 papers, 2.5k citations indexed

About

N. Michael Mayer is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, N. Michael Mayer has authored 32 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Control and Systems Engineering. Recurrent topics in N. Michael Mayer's work include Neuropeptides and Animal Physiology (6 papers), Advanced Vision and Imaging (4 papers) and Control and Dynamics of Mobile Robots (4 papers). N. Michael Mayer is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Advanced Vision and Imaging (4 papers) and Control and Dynamics of Mobile Robots (4 papers). N. Michael Mayer collaborates with scholars based in Taiwan, Japan and Germany. N. Michael Mayer's co-authors include Thomas Brox, Alexey Dosovitskiy, Eddy Ilg, Tonmoy Saikia, Margret Keuper, Minoru Asada, Oliver Obst, Joschka Boedecker, Joseph T. Lizier and F. Lembeck and has published in prestigious journals such as Journal of Neurochemistry, International Journal of Computer Vision and Neurocomputing.

In The Last Decade

N. Michael Mayer

31 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

2017 1.9k citations Eddy Ilg, N. Michael Mayer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Michael Mayer Taiwan	12	1.8k	418	286	271	172	32	2.5k
Jin Xie China	31	1.9k 1.0×	427 1.0×	317 1.1×	279 1.0×	213 1.2×	117	2.8k
Yanxi Liu United States	30	2.6k 1.4×	321 0.8×	450 1.6×	182 0.7×	269 1.6×	108	3.8k
Gregory Shakhnarovich United States	26	2.3k 1.3×	819 2.0×	158 0.6×	291 1.1×	252 1.5×	45	3.1k
Erhardt Barth Germany	28	1.6k 0.9×	407 1.0×	194 0.7×	215 0.8×	746 4.3×	128	3.3k
T. Pavlidis United States	22	1.6k 0.9×	267 0.6×	173 0.6×	295 1.1×	55 0.3×	54	2.3k
Xuming He China	26	2.5k 1.4×	1.3k 3.1×	239 0.8×	493 1.8×	107 0.6×	127	3.6k
Raghuveer Rao United States	20	769 0.4×	445 1.1×	124 0.4×	288 1.1×	290 1.7×	110	2.1k
Fu Li China	21	1.1k 0.6×	305 0.7×	90 0.3×	125 0.5×	418 2.4×	92	1.8k
Yao Qin China	22	892 0.5×	139 0.3×	533 1.9×	509 1.9×	108 0.6×	79	1.9k
Yee‐Hong Yang Canada	36	2.9k 1.6×	310 0.7×	389 1.4×	618 2.3×	69 0.4×	162	3.7k

Countries citing papers authored by N. Michael Mayer

Since Specialization

Citations

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

Fields of papers citing papers by N. Michael Mayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Michael Mayer

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

20 of 20 papers shown

1.

Mayer, N. Michael. (2020). Synthetic training data for deep neural networks on visual correspondence tasks. FreiDok plus (Universitätsbibliothek Freiburg). 1 indexed citations

2.

Mayer, N. Michael, et al.. (2019). Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision. Socio-Environmental Systems Modeling. 5542–5549. 7 indexed citations

3.

Ilg, Eddy, N. Michael Mayer, Tonmoy Saikia, et al.. (2017). FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. 1647–1655. 1940 indexed citations breakdown →

4.

Wang, Chun‐Chi, et al.. (2017). Mechanical and system design of Egg shape robot. 1–5. 3 indexed citations

5.

Wu, Yu-Sin, et al.. (2017). A new type of eye-on-hand robotic arm system based on a low-cost recognition system. 61. 110–114. 5 indexed citations

6.

Mayer, N. Michael, et al.. (2017). Implementation of a mobile spherical robot with shape-changed inflatable structures. 13. 104–109. 6 indexed citations

7.

Lin, Cheng‐Wei, et al.. (2016). An brain-computer interface for video content analysis system for perceive emotions by using EEG. 1–2. 1 indexed citations

8.

Mayer, N. Michael, et al.. (2013). Real-time SLAM using an RGB-D camera for mobile robots. 2010. 356–361. 6 indexed citations

9.

Mayer, N. Michael, et al.. (2012). A face recognition system that simulates perception impairments of autistic children. 1–2. 2 indexed citations

10.

Boedecker, Joschka, Oliver Obst, Joseph T. Lizier, N. Michael Mayer, & Minoru Asada. (2011). Information processing in echo state networks at the edge of chaos. Theory in Biosciences. 131(3). 205–213. 162 indexed citations

11.

Mayer, N. Michael, et al.. (2010). Using U-Bot for RoboCup@home. Society of Instrument and Control Engineers of Japan. 35–36. 1 indexed citations

12.

Boedecker, Joschka, Oliver Obst, N. Michael Mayer, & Minoru Asada. (2009). Initialization and self‐organized optimization of recurrent neural network connectivity. PubMed. 3(5). 340–349. 19 indexed citations

13.

Mayer, N. Michael, et al.. (2006). Balanced walking and rapid movements in a biped robot by using a symmetric rotor and a brake. 345–350. 7 indexed citations

14.

Mayer, N. Michael, et al.. (2006). Gyro stabilized biped walking. 1422–1427. 3 indexed citations

15.

Mayer, N. Michael, J. Michael Herrmann, & T. Geisel. (2000). Retinotopy and spatial phase in topographic maps. Neurocomputing. 32-33. 447–452. 3 indexed citations

16.

Entzeroth, Michael & N. Michael Mayer. (1991). The Binding of [³H]af-dx 384 to Rat Ileal Smooth Muscle Muscarinic Receptors. Journal of Receptor Research. 11(1-4). 141–152. 13 indexed citations

17.

Mayer, N. Michael, F. Lembeck, Michel Goedert, & U. Otten. (1982). Effects of antibodies against nerve growth factor on the postnatal development of substance P-containing sensory neurons. Neuroscience Letters. 29(1). 47–52. 27 indexed citations

18.

Mayer, N. Michael, R. Gamse, & F. Lembeck. (1980). Effect of Capsaicin Pretreatment on Substance P Binding to Synaptic Vesicles. Journal of Neurochemistry. 35(5). 1238–1241. 4 indexed citations

19.

Lembeck, F., et al.. (1978). Substance P: Binding to lipids in the brain. Naunyn-Schmiedeberg s Archives of Pharmacology. 303(1). 79–86. 7 indexed citations

20.

Lembeck, F., et al.. (1977). Substance P in rat brain synaptosomes. Naunyn-Schmiedeberg s Archives of Pharmacology. 301(1). 17–22. 21 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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