Moritz B. Milde
Impact in
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- Advanced Neural Network Applications
Papers in
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- Advanced Memory and Neural Computing 10
- CCD and CMOS Imaging Sensors 4
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- Neuroscience and Neural Engineering 4
- Photoreceptor and optogenetics research 4
- Co-authors
- Tobi Delbrück (2 shared papers)Shih‐Chii Liu (1 shared paper)Federico Corradi (1 shared paper)Ricardo Tapiador-Morales (1 shared paper)Hesham Mostafa (1 shared paper)Alejandro Linares-Barranco (1 shared paper)Antonio Ríos-Navarro (1 shared paper)Giacomo Indiveri (4 shared papers)
- Journals
- Frontiers in Neuroscience (3 papers)Nature Communications (1 paper)Optical Materials (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Langmuir (1 paper)
- Partner nations
- GermanySwitzerlandAustralia
In The Last Decade
Moritz B. Milde
18 papers receiving 503 citations
Peers
Comparison fields: 5 of 77
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 153
- Cellular and Molecular Neuroscience 102
- Electrical and Electronic Engineering 309
- Cognitive Neuroscience 96
Countries citing papers authored by Moritz B. Milde
This map shows the geographic impact of Moritz B. Milde'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 Moritz B. Milde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz B. Milde more than expected).
Fields of papers citing papers by Moritz B. Milde
This network shows the impact of papers produced by Moritz B. Milde. 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 Moritz B. Milde. The network helps show where Moritz B. Milde may publish in the future.
Co-authors
The 25 scholars most cited alongside Moritz B. Milde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 210 | |
| 2 | 2017 | 66 | |
| 3 | 2011 | 33 | |
| 4 | 2017 | 30 | |
| 5 | 2018 | 29 | |
| 6 | 2020 | 24 | |
| 7 | 2011 | 24 | |
| 8 | 2015 | 21 | |
| 9 | 2014 | 21 | |
| 10 | 2020 | 14 | |
| 11 | 2010 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2016 | 1 |
About Moritz B. Milde
Moritz B. Milde is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Materials Chemistry, Biomedical Engineering and Molecular Biology, having authored 18 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neuroscience and Neural Engineering (4 papers), Photoreceptor and optogenetics research (4 papers), Luminescence Properties of Advanced Materials (4 papers), CCD and CMOS Imaging Sensors (4 papers), Neural dynamics and brain function (3 papers), Advanced Nanomaterials in Catalysis (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (153 citations), Cellular and Molecular Neuroscience (102 citations), Electrical and Electronic Engineering (309 citations) and Cognitive Neuroscience (96 citations). Moritz B. Milde has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Tobi Delbrück, Shih‐Chii Liu, Federico Corradi, Ricardo Tapiador-Morales, Hesham Mostafa, Alejandro Linares-Barranco, Antonio Ríos-Navarro, Giacomo Indiveri, Sofia Dembski and Hermann Blum. Their work appears in journals such as Frontiers in Neuroscience, Nature Communications, Optical Materials, IEEE Transactions on Neural Networks and Learning Systems and Langmuir.
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.