Florian Walter

886 citations
27 papers · 464 · 1 hit paper · h-index 11

Impact in

Papers in

Florian Walter

25 papers receiving 452 citations

Florian Walter's Hit Papers

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications 2024 · 134 citations
1340+1Years since publication4080120

Peers

Florian Walter
Comparison fields: 5 of 86
  • Biophysics 54
  • Cognitive Neuroscience 90
  • Cellular and Molecular Neuroscience 67
  • Physiology 15
  • Health Informatics 4
Replace Zudi Lin with:
Zudi Lin United States
Antonio J. Rodríguez-Sánchez Austria
Eva L. Dyer United States
Adam S. Charles United States
Nehru Kasthuri India
Benjamin D. Evans United Kingdom
Madhur Srivastava United States
Weifu Li China
António R. C. Paiva United States
Forest Agostinelli United States
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Citations per year

Countries citing papers authored by Florian Walter

Since Specialization
Citations

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

Fields of papers citing papers by Florian Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Walter, 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 Florian Walter Line = papers co-authored together Florian Walter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications
Hit paper breakdown →
2024134
2 202074
3 201557
4 201741
5 202325
6 202419
7 201517
8 202316
9 200716
10 201411
11 202111
12 20227
13 20227
14 20175
15 20145
16 20164
17 20233
18 20183
19 20232
20 20242

About Florian Walter

Florian Walter is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Spectroscopy, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 464 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (8 papers), EEG and Brain-Computer Interfaces (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Terahertz technology and applications (3 papers), Spectroscopy and Laser Applications (3 papers), Neural Networks and Reservoir Computing (2 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Biophysics (54 citations), Cognitive Neuroscience (90 citations), Cellular and Molecular Neuroscience (67 citations), Physiology (15 citations) and Health Informatics (4 citations). Florian Walter has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Alois Knoll, Florian Röhrbein, Shangding Gu, Guang Chen, Yang Long, Yali Du, Jun Wang, Zhenshan Bing, Yulia Sandamirskaya and Kai Huang. Their work appears in journals such as Microelectronic Engineering, Science Robotics, Science Advances, Bioinspiration & Biomimetics and Frontiers in Neurorobotics.

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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