Moritz B. Milde
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Co-authors
- Ricardo Tapiador-MoralesHesham MostafaFederico CorradiTobi DelbrückAlejandro Linares-BarrancoShih‐Chii LiuAntonio Ríos-NavarroGiacomo Indiveri
- Topics
- Advanced Memory and Neural Computing (10 papers)Neuroscience and Neural Engineering (4 papers)Photoreceptor and optogenetics research (4 papers)
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionCellular and Molecular Neuroscience
- Partner nations
- GermanySwitzerlandAustralia
In The Last Decade
Moritz B. Milde
18 papers receiving 488 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 303
- Computer Vision and Pattern Recognition 151
- Cellular and Molecular Neuroscience 101
- Artificial Intelligence 99
- 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-authorship network of co-authors of Moritz B. Milde
This figure shows the co-authorship network connecting the top 25 collaborators of Moritz B. Milde. A scholar is included among the top collaborators of Moritz B. Milde 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 Moritz B. Milde. Moritz B. Milde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 14 | |
| 6 | 205 | |
| 7 | 28 | |
| 8 | 64 | |
| 9 | 29 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 21 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 33 | |
| 18 | 12 |
About Moritz B. Milde
Moritz B. Milde is a scholar working on Cellular and Molecular Neuroscience, Ceramics and Composites and Electrical and Electronic Engineering, having authored 18 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neuroscience and Neural Engineering (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (151 citations) and Cellular and Molecular Neuroscience (101 citations). Moritz B. Milde has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Ricardo Tapiador-Morales, Hesham Mostafa, Federico Corradi, Tobi Delbrück, Alejandro Linares-Barranco, Shih‐Chii Liu, Antonio Ríos-Navarro, Giacomo Indiveri, Sofia Dembski and Yulia Sandamirskaya. Their work appears in journals such as Nature Communications, Langmuir and Neural Computation.
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.