Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic
- Journal
- Nano Letters
In The Last Decade
doi.org/10.1021/nl901874j →Countries where authors are citing Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic
This map shows the geographic impact of Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic. 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 Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic more than expected).
Fields of papers citing Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic
This network shows the impact of Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic.
About Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic
This paper, published in 2009, received 528 indexed citations . Written by Qiangfei Xia, Warren Robinett, J. Joshua Yang, Wei Wu, Xuema Li, William M. Tong, Dmitri B. Strukov, Gregory S. Snider, G. Medeiros‐Ribeiro and R. Stanley Williams covering the research area of Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (514 citations), Cellular and Molecular Neuroscience (285 citations) and Cognitive Neuroscience (81 citations). Published in Nano Letters.
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.
This paper is also available at doi.org/10.1021/nl901874j.