Karin Strauß
Karin Strauß publishes mostly in Molecular Biology, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as DNA and Biological Computing, Parallel Computing and Optimization Techniques and Advanced biosensing and bioanalysis techniques.
- World rank
- #31,955 of 7,710,434 ranked researchers
- Rank in United States
- #12,108 of 1,627,098
- Works
- 1,011
- Citations
- 7.6k
- Citations per work
- 7.6
What does Karin Strauß research?
Karin Strauß's work is mostly in Computer Science (31%), Biochemistry, Genetics and Molecular Biology (22%), Engineering (19%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences56255.6%
- Computer Science31030.7%
- Engineering18718.5%
- Chemistry656.4%
- Everything else22622.4%
- Life Sciences22222.0%
- 1Molecular Biology22% of their works
- 2Computer Networks and Communications18% of their works
- 3Electrical and Electronic Engineering14% of their works
- 4Hardware and Architecture13% of their works
- 5Organic Chemistry6% of their works
- 6Mechanical Engineering5% of their works
Research topics
- DNA and Biological Computing
- Parallel Computing and Optimization Techniques
- Advanced biosensing and bioanalysis techniques
- Advanced Data Storage Technologies
- Modular Robots and Swarm Intelligence
- Advanced Memory and Neural Computing
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
Which keywords describe Karin Strauß's research?
The keywords of their largest research topics: Parallel Computing, Self-Assembly, DNA Computing, Molecular Computation, GPU Computing, Performance Optimization, Biosensors and DNA nanotechnology.
- Consistency
- Interconnection Networks
- Memristor
- Modular Robots
- Network Coding
- DNA nanotechnology
- Performance Optimization
- Molecular Computation
- Self-Assembly
- Parallel Computing
- DNA Computing
- GPU Computing
- Biosensors
- Distributed Storage
- Fault Tolerance
- Self-Reconfiguration
- Neuromorphic Computing
- Networks on Chip
- Distributed Systems
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Parallel Computing802 topics
- Self-Assembly642 topics
- DNA Computing471 topic
- Molecular Computation471 topic
- GPU Computing461 topic
- Performance Optimization461 topic
- Biosensors431 topic
- DNA nanotechnology431 topic
- Distributed Storage341 topic
- Network Coding341 topic
- Fault Tolerance262 topics
- Modular Robots211 topic
- Self-Reconfiguration211 topic
- Memristor161 topic
- Neuromorphic Computing161 topic
- Interconnection Networks141 topic
- Networks on Chip141 topic
- Consistency121 topic
- Distributed Systems121 topic
Where does Karin Strauß work?
Karin Strauß's main affiliation in the publication record is Microsoft (United States), United States.
How many publications and citations does Karin Strauß have?
OpenAlex counts 1,011 works and 7,649 citations for Karin Strauß, an h-index of 46, ranking #31,955 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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