Gerhard Neumann

10.6k citations
267 papers · 4.9k · 1 hit paper · h-index 33

Impact in

Papers in

Gerhard Neumann

230 papers receiving 4.5k citations

Gerhard Neumann's Hit Papers

Principles of Physical Oceanography 1966 · 508 citations
5080+20+40Years since publication100200300400500

Peers

Gerhard Neumann
Comparison fields: 5 of 170
  • Control and Systems Engineering 2.0k
  • Artificial Intelligence 1.6k
  • Oceanography 594
  • Computer Vision and Pattern Recognition 769
  • Earth-Surface Processes 230
Replace Jingdong Chen with:
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerhard Neumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerhard Neumann Line = papers co-authored together Gerhard Neumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Principles of Physical Oceanography
Hit paper breakdown →
1966508
2
Self-diffusion and Impurity Diffusion in Pure Metals: Handbook of Experimental Data
2008280
3
Probabilistic Movement Primitives
2013275
4 2018233
5 2018176
6 2014144
7 2016140
8 2017139
9
Practical methods for observing and forecasting ocean waves by means of wave spectra and statistics
1958124
10 2018114
11 2015102
12 201879
13
Hierarchical Relative Entropy Policy Search
201477
14
Policy evaluation with temporal differences: a survey and comparison
201476
15
On ocean wave spectra and a new method of forecasting wind generated sea
195371
16 201568
17 201564
18 201464
19 201762
20 201360

About Gerhard Neumann

Gerhard Neumann is a scholar working on Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering and Literature and Literary Theory, having authored 267 papers that have together received 4.9k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (68 papers), Robot Manipulation and Learning (63 papers), German Literature and Culture Studies (23 papers), Gaussian Processes and Bayesian Inference (13 papers), Robotic Path Planning Algorithms (13 papers), Soft Robotics and Applications (12 papers), Machine Learning and Algorithms (11 papers) and Oceanographic and Atmospheric Processes (11 papers). The work is most often cited by research in Control and Systems Engineering (2.0k citations), Artificial Intelligence (1.6k citations), Oceanography (594 citations), Computer Vision and Pattern Recognition (769 citations) and Earth-Surface Processes (230 citations). Gerhard Neumann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jan Peters, Willard J. Pierson, Christian Daniel, C. Tuijn, Alexandros Paraschos, Oliver Kroemer, Rudolf Lioutikov, Guilherme Maeda, Takayuki Osa and Joni Pajarinen. Their work appears in journals such as IEEE Robotics and Automation Letters, Ocean Dynamics, Lung, Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum and Journal of Machine Learning Research.

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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