Yasuko Eckert
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
Papers in
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- Parallel Computing and Optimization Techniques 9
- Embedded Systems Design Techniques 3
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- Interconnection Networks and Systems 7
- Advanced Data Storage Technologies 5
- Distributed and Parallel Computing Systems 1
- Co-authors
- Gabriel H. Loh (6 shared papers)Abhishek Bhattacharjee (1 shared paper)Natalie Enright Jerger (2 shared papers)Onur Kayıran (4 shared papers)Adwait Jog (2 shared papers)Michael Schulte (2 shared papers)Indrani Paul (3 shared papers)Steven E. Raasch (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Yasuko Eckert
11 papers receiving 288 citations
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 231
- Computer Networks and Communications 234
- Information Systems 90
- Electrical and Electronic Engineering 85
- Computer Vision and Pattern Recognition 18
Countries citing papers authored by Yasuko Eckert
This map shows the geographic impact of Yasuko Eckert'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 Yasuko Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuko Eckert more than expected).
Fields of papers citing papers by Yasuko Eckert
This network shows the impact of papers produced by Yasuko Eckert. 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 Yasuko Eckert. The network helps show where Yasuko Eckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasuko Eckert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 119 | |
| 2 | 2017 | 56 | |
| 3 | 2015 | 46 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 12 | |
| 7 | 2016 | 11 | |
| 8 | 2012 | 7 | |
| 9 | 2014 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2014 | 2 |
About Yasuko Eckert
Yasuko Eckert is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Insect Science, having authored 11 papers that have together received 299 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (7 papers), Advanced Data Storage Technologies (5 papers), Embedded Systems Design Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Low-power high-performance VLSI design (2 papers), 3D IC and TSV technologies (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (231 citations), Computer Networks and Communications (234 citations), Information Systems (90 citations), Electrical and Electronic Engineering (85 citations) and Computer Vision and Pattern Recognition (18 citations). Yasuko Eckert has collaborated with scholars based in United States and Canada. Frequent co-authors include Gabriel H. Loh, Abhishek Bhattacharjee, Natalie Enright Jerger, Onur Kayıran, Adwait Jog, Michael Schulte, Indrani Paul, Steven E. Raasch, Joseph L. Greathouse and Mitesh R. Meswani. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review and eScholarship (California Digital Library).
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.