Karin Strauß

7.5k citations
112 papers · 4.5k · 1 hit paper · h-index 40

Impact in

Papers in

Karin Strauß

111 papers receiving 4.4k citations

Karin Strauß's Hit Papers

Molecular digital data storage using DNA 2019 · 360 citations
3600+2+4Years since publication100200300

Peers

Karin Strauß
Comparison fields: 5 of 118
  • Hardware and Architecture 1.6k
  • Computer Networks and Communications 1.7k
  • Software 107
  • Molecular Biology 1.8k
  • Electrical and Electronic Engineering 1.2k
Replace Luís Ceze with:
Luís Ceze United States
Alvin R. Lebeck United States
Seth Copen Goldstein United States
Marco D. Santambrogio Italy
Kai Li United States
Shlomi Dolev Israel
Koen Bertels Netherlands
Andrew A. Chien United States
Philip Brisk United States
Sherief Reda United States
Karin Strauß relative to Luís Ceze United States Luís Ceze's profile →
Citations per field
00.5×1.5×
Luís Ceze · 1×
Citations per year

Countries citing papers authored by Karin Strauß

Since Specialization
Citations

This map shows the geographic impact of Karin Strauß'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 Karin Strauß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Strauß more than expected).

Fields of papers citing papers by Karin Strauß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Strauß. 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 Karin Strauß. The network helps show where Karin Strauß may publish in the future.

Co-authors

The 25 scholars most cited alongside Karin Strauß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karin Strauß Line = papers co-authored together Karin Strauß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular digital data storage using DNA
Hit paper breakdown →
2019360
2 2010284
3
Accelerating Deep Convolutional Neural Networks Using Specialized Hardware
2015203
4 2016189
5 2013175
6 2006151
7 2019106
8 2019101
9
Progressive authentication: deciding when to authenticate on mobile phones
201297
10 201094
11 200893
12 201991
13 202291
14 202087
15 201984
16 200876
17 201475
18 201073
19 202069
20 201169

About Karin Strauß

Karin Strauß is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, Hardware and Architecture and Mechanical Engineering, having authored 112 papers that have together received 4.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (36 papers), DNA and Biological Computing (33 papers), Advanced biosensing and bioanalysis techniques (31 papers), Advanced Data Storage Technologies (29 papers), Modular Robots and Swarm Intelligence (18 papers), Advanced Memory and Neural Computing (16 papers), Caching and Content Delivery (9 papers) and Green IT and Sustainability (9 papers). The work is most often cited by research in Hardware and Architecture (1.6k citations), Computer Networks and Communications (1.7k citations), Software (107 citations), Molecular Biology (1.8k citations) and Electrical and Electronic Engineering (1.2k citations). Karin Strauß has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Luís Ceze, Jeff Nivala, Doug Burger, Georg Seelig, Bichlien H. Nguyen, Gabriel H. Loh, Stuart Schechter, Josep Torrellas, Brandon Lucia and Randolph Lopez. Their work appears in journals such as Nature Communications, ACM SIGPLAN Notices, IEEE Micro, ACS Synthetic Biology and Computer.

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.

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