Siebren Schaafsma
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Co-authors
- Francky CatthoorAnup DasAdarsha BalajiGiacomo IndiveriNikil DuttJeffrey L. KrichmarSandeep Dwarkanath PandeFederico Corradi
- Topics
- Advanced Memory and Neural Computing (7 papers)Neural dynamics and brain function (3 papers)CCD and CMOS Imaging Sensors (3 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceCognitive Neuroscience
- Journals
- Neural NetworksIEEE Transactions on Very Large Scale Integration (VLSI) SystemsJournal of Low Power Electronics
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Siebren Schaafsma
9 papers receiving 298 citations
Peers
Comparison fields: 5 of 39
- Electrical and Electronic Engineering 258
- Cognitive Neuroscience 83
- Cellular and Molecular Neuroscience 79
- Artificial Intelligence 68
- Cardiology and Cardiovascular Medicine 22
Countries citing papers authored by Siebren Schaafsma
This map shows the geographic impact of Siebren Schaafsma'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 Siebren Schaafsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siebren Schaafsma more than expected).
Fields of papers citing papers by Siebren Schaafsma
This network shows the impact of papers produced by Siebren Schaafsma. 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 Siebren Schaafsma. The network helps show where Siebren Schaafsma may publish in the future.
Co-authorship network of co-authors of Siebren Schaafsma
This figure shows the co-authorship network connecting the top 25 collaborators of Siebren Schaafsma. A scholar is included among the top collaborators of Siebren Schaafsma 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 Siebren Schaafsma. Siebren Schaafsma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 92 | |
| 2 | 40 | |
| 3 | 18 | |
| 4 | 34 | |
| 5 | 51 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 26 | |
| 9 | 23 |
About Siebren Schaafsma
Siebren Schaafsma is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (3 papers) and CCD and CMOS Imaging Sensors (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (258 citations), Cellular and Molecular Neuroscience (79 citations) and Cognitive Neuroscience (83 citations). Siebren Schaafsma has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Francky Catthoor, Anup Das, Adarsha Balaji, Giacomo Indiveri, Nikil Dutt, Jeffrey L. Krichmar, Sandeep Dwarkanath Pande, Federico Corradi, Jan Stuijt and Ning Qiao. Their work appears in journals such as Neural Networks, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Low Power Electronics.
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.