Rita Chen
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
Papers in
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- Neuroscience and Neuropharmacology Research 2
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- Memory and Neural Mechanisms 2
- Co-authors
- M.J. Irwin (1 shared paper)Debashree Ghosh (1 shared paper)Robert Michael Owens (1 shared paper)Laura A. DeNardo (2 shared papers)João Couto (1 shared paper)Benita Jin (1 shared paper)Drew Friedmann (1 shared paper)Jiangfeng Wu (1 shared paper)
- Journals
- SLAS TECHNOLOGY (1 paper)European Journal of Neuroscience (1 paper)PLoS ONE (1 paper)Journal of Neuroscience (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesAustraliaCzechia
In The Last Decade
Rita Chen
9 papers receiving 145 citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 73
- Computer Networks and Communications 40
- Electrical and Electronic Engineering 74
- Automotive Engineering 14
- Cognitive Neuroscience 16
Countries citing papers authored by Rita Chen
This map shows the geographic impact of Rita Chen'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 Rita Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Chen more than expected).
Fields of papers citing papers by Rita Chen
This network shows the impact of papers produced by Rita Chen. 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 Rita Chen. The network helps show where Rita Chen may publish in the future.
Co-authors
The 18 scholars most cited alongside Rita Chen, 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 | 1997 | 97 | |
| 2 | 2023 | 21 | |
| 3 | 2016 | 14 | |
| 4 | 2022 | 13 | |
| 5 | 2025 | 5 | |
| 6 | Early Childhood Identity Construction Culture The Self | 2009 | 3 |
| 7 | 2020 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2018 | 1 |
About Rita Chen
Rita Chen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Hardware and Architecture, Communication and Literature and Literary Theory, having authored 9 papers that have together received 158 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Electric and Hybrid Vehicle Technologies (1 paper), Bullying, Victimization, and Aggression (1 paper), Nicotinic Acetylcholine Receptors Study (1 paper), Advanced Data Storage Technologies (1 paper), Organizational Leadership and Management Strategies (1 paper) and Literacy, Media, and Education (1 paper). The work is most often cited by research in Hardware and Architecture (73 citations), Computer Networks and Communications (40 citations), Electrical and Electronic Engineering (74 citations), Automotive Engineering (14 citations) and Cognitive Neuroscience (16 citations). Rita Chen has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include M.J. Irwin, Debashree Ghosh, Robert Michael Owens, Laura A. DeNardo, João Couto, Benita Jin, Drew Friedmann, Jiangfeng Wu, Xinghuo Yu and Weixiang Shen. Their work appears in journals such as SLAS TECHNOLOGY, European Journal of Neuroscience, PLoS ONE, Journal of Neuroscience and Nature Neuroscience.
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.