Moritz B. Milde
Impact in
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- Advanced Neural Network Applications
Papers in
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- Neuroscience and Neural Engineering 4
- Photoreceptor and optogenetics research 4
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- Advanced Memory and Neural Computing 10
- CCD and CMOS Imaging Sensors 4
- Co-authors
- Tobi Delbrück (2 shared papers)Alejandro Linares-Barranco (1 shared paper)Shih‐Chii Liu (1 shared paper)Giacomo Indiveri (4 shared papers)Federico Corradi (1 shared paper)Antonio Ríos-Navarro (1 shared paper)Ricardo Tapiador Morales (1 shared paper)Hesham Mostafa (1 shared paper)
- Journals
- Frontiers in Neuroscience (3 papers)Langmuir (1 paper)Expert Review of Molecular Diagnostics (1 paper)Neural Computation (1 paper)Materials Chemistry and Physics (1 paper)
- Partner nations
- GermanySwitzerlandAustralia
In The Last Decade
Moritz B. Milde
18 papers receiving 579 citations
Peers
Comparison fields: 5 of 78
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 168
- Cellular and Molecular Neuroscience 124
- Electrical and Electronic Engineering 354
- Cognitive Neuroscience 110
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 | 234 | |
| 2 | 2017 | 74 | |
| 3 | 2017 | 36 | |
| 4 | 2011 | 35 | |
| 5 | 2018 | 34 | |
| 6 | 2015 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2011 | 27 | |
| 9 | 2014 | 24 | |
| 10 | 2020 | 17 | |
| 11 | 2024 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2017 | 10 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2016 | 1 |
About Moritz B. Milde
Moritz B. Milde is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Materials Chemistry, Cognitive Neuroscience and Biomedical Engineering, having authored 18 papers that have together received 592 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neuroscience and Neural Engineering (4 papers), Luminescence Properties of Advanced Materials (4 papers), CCD and CMOS Imaging Sensors (4 papers), Photoreceptor and optogenetics research (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 (168 citations), Cellular and Molecular Neuroscience (124 citations), Electrical and Electronic Engineering (354 citations) and Cognitive Neuroscience (110 citations). Moritz B. Milde has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Tobi Delbrück, Alejandro Linares-Barranco, Shih‐Chii Liu, Giacomo Indiveri, Federico Corradi, Antonio Ríos-Navarro, Ricardo Tapiador Morales, Hesham Mostafa, Elisabetta Chicca and Yulia Sandamirskaya. Their work appears in journals such as Frontiers in Neuroscience, Langmuir, Expert Review of Molecular Diagnostics, Neural Computation and Materials Chemistry and Physics.
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.