Anne Siemon
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience
- Polymers and Plastics
- Hardware and Architecture top 10%
- Co-authors
- Eike LinnRainer WaserStephan MenzelAnupam ChattopadhyayVikas RanaThomas BreuerSusanne Hoffmann‐EifertWonjoo Kim
- Topics
- Advanced Memory and Neural Computing (26 papers)Neuroscience and Neural Engineering (20 papers)Ferroelectric and Negative Capacitance Devices (13 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringHardware and Architecture
- Partner nations
- GermanySingaporeUnited States
In The Last Decade
Anne Siemon
26 papers receiving 802 citations
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 795
- Cellular and Molecular Neuroscience 418
- Cognitive Neuroscience 74
- Polymers and Plastics 66
- Hardware and Architecture 42
Countries citing papers authored by Anne Siemon
This map shows the geographic impact of Anne Siemon'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 Anne Siemon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Siemon more than expected).
Fields of papers citing papers by Anne Siemon
This network shows the impact of papers produced by Anne Siemon. 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 Anne Siemon. The network helps show where Anne Siemon may publish in the future.
Co-authorship network of co-authors of Anne Siemon
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Siemon. A scholar is included among the top collaborators of Anne Siemon 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 Anne Siemon. Anne Siemon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 14 | |
| 3 | 98 | |
| 4 | 8 | |
| 5 | 39 | |
| 6 | 18 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | The Programmable Logic-in-Memory (PLiM) computer | 67 |
| 10 | The Programmable Logic-in-Memory (PLiM) Computer (Invited) | 10 |
| 11 | 60 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 125 | |
| 15 | 96 | |
| 16 | 9 | |
| 17 | 49 | |
| 18 | 17 | |
| 19 | Memristive ReRAM models for beyond memory applications | 1 |
| 20 | 2 |
About Anne Siemon
Anne Siemon is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 26 papers that have together received 815 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Neuroscience and Neural Engineering (20 papers) and Ferroelectric and Negative Capacitance Devices (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (418 citations), Electrical and Electronic Engineering (795 citations) and Hardware and Architecture (42 citations). Anne Siemon has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Eike Linn, Rainer Waser, Stephan Menzel, Anupam Chattopadhyay, Vikas Rana, Thomas Breuer, Susanne Hoffmann‐Eifert, Wonjoo Kim, Pierre‐Emmanuel Gaillardon and Luca Amarù. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and Nanotechnology.
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.