Clemens Schaefer
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Materials Chemistry
- Co-authors
- Siddharth JoshiSukru Burc EryilmazWenqiang ZhangHe QianPriyanka RainaStephen DeissBin GaoH.‐S. Philip Wong
- Topics
- Advanced Memory and Neural Computing (3 papers)Ferroelectric and Negative Capacitance Devices (2 papers)Physics and Engineering Research Articles (2 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceHardware and Architecture
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Clemens Schaefer
18 papers receiving 601 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 504
- Cellular and Molecular Neuroscience 142
- Artificial Intelligence 123
- Cognitive Neuroscience 70
- Materials Chemistry 65
Countries citing papers authored by Clemens Schaefer
This map shows the geographic impact of Clemens Schaefer'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 Clemens Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clemens Schaefer more than expected).
Fields of papers citing papers by Clemens Schaefer
This network shows the impact of papers produced by Clemens Schaefer. 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 Clemens Schaefer. The network helps show where Clemens Schaefer may publish in the future.
Co-authorship network of co-authors of Clemens Schaefer
This figure shows the co-authorship network connecting the top 25 collaborators of Clemens Schaefer. A scholar is included among the top collaborators of Clemens Schaefer 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 Clemens Schaefer. Clemens Schaefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | A compute-in-memory chip based on resistive random-access memorybreakdown → | 511 |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | Optics: Of Waves and Particles | 28 |
| 10 | Constituents of Matter: Atoms, Molecules, Nuclei, and Particles | 7 |
| 11 | Elektrizität und Magnetismus | 3 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 27 | |
| 19 | 1 |
About Clemens Schaefer
Clemens Schaefer is a scholar working on Physical and Theoretical Chemistry, Artificial Intelligence and Cognitive Neuroscience, having authored 19 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Physics and Engineering Research Articles (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (504 citations), Cellular and Molecular Neuroscience (142 citations) and Hardware and Architecture (26 citations). Clemens Schaefer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Siddharth Joshi, Sukru Burc Eryilmaz, Wenqiang Zhang, He Qian, Priyanka Raina, Stephen Deiss, Bin Gao, H.‐S. Philip Wong, Dabin Wu and Gert Cauwenberghs. Their work appears in journals such as Nature, Physics Today and American Journal of 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.