Multiuser MIMO achievable rates with downlink training and channel state feedback
Impact in
Classified as
- Journal
- HAL (Le Centre pour la Communication Scientifique Directe)
In The Last Decade
doi.org/w22700536 →Countries where authors are citing Multiuser MIMO achievable rates with downlink training and channel state feedback
This map shows the geographic impact of Multiuser MIMO achievable rates with downlink training and channel state feedback. 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 Multiuser MIMO achievable rates with downlink training and channel state feedback with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiuser MIMO achievable rates with downlink training and channel state feedback more than expected).
Fields of papers citing Multiuser MIMO achievable rates with downlink training and channel state feedback
This network shows the impact of Multiuser MIMO achievable rates with downlink training and channel state feedback. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multiuser MIMO achievable rates with downlink training and channel state feedback.
About Multiuser MIMO achievable rates with downlink training and channel state feedback
This paper, published in 2010, received 366 indexed citations . Written by Giuseppe Caire, Nihar Jindal, Mari Kobayashi and Niranjay Ravindran covering the research area of Electrical and Electronic Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Electrical and Electronic Engineering (364 citations), Computer Networks and Communications (282 citations), Aerospace Engineering (22 citations), Signal Processing (5 citations) and Computational Mechanics (5 citations). Published in HAL (Le Centre pour la Communication Scientifique Directe).
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/w22700536.