Dai Kimura

42 papers receiving 489 citations

Peers

Dai Kimura
Comparison fields: 5 of 83
  • Critical Care and Intensive Care Medicine 36
  • Biomaterials 59
  • Pulmonary and Respiratory Medicine 128
  • Endocrine and Autonomic Systems 21
  • Surgery 130
Replace Wen-Je Ko with:
Wen-Je Ko Taiwan
Ashok N Babu United States
Weiqin Lin Singapore
Ronald G. Tompkins United States
Xiaoqiang Zhang China
Yu Oshima Japan
Tiejun Wu China
Hye Min Choi South Korea
Yongming Yao China
Daniel J. Cho United States
Dai Kimura relative to Wen-Je Ko Taiwan Wen-Je Ko's profile →
Citations per field
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Wen-Je Ko · 1×
Citations per year

Countries citing papers authored by Dai Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Dai Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dai Kimura, 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 Dai Kimura Line = papers co-authored together Dai Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200271
2 199744
3 201543
4 200235
5 201926
6 201123
7 200823
8 201522
9 201919
10 199719
11 201518
12 200316
13 201813
14 201613
15 200913
16 201311
17 201211
18
Inter-Cell Interference Coordination (ICIC) Technology
201210
19 20039
20 20098

About Dai Kimura

Dai Kimura is a scholar working on Computer Networks and Communications, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Surgery and Epidemiology, having authored 45 papers that have together received 512 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (8 papers), Cooperative Communication and Network Coding (5 papers), Advanced Wireless Network Optimization (5 papers), Wireless Networks and Protocols (4 papers), Respiratory Support and Mechanisms (4 papers), Neonatal Respiratory Health Research (3 papers), Respiratory viral infections research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (36 citations), Biomaterials (59 citations), Pulmonary and Respiratory Medicine (128 citations), Endocrine and Autonomic Systems (21 citations) and Surgery (130 citations). Dai Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroyuki Seki, Tatsuo Nakamura, Yoshio Hori, Yasuhiko Shimizu, Yoshimochi Kurokawa, Susumu Satomi, Balagangadhar Totapally, Kanwaljeet J. S. Anand, Andreas Schwingshackl and Cynthia R. Rovnaghi. Their work appears in journals such as Frontiers in Pediatrics, Critical Care Medicine, Pediatric Critical Care Medicine, American Journal of Physiology-Heart and Circulatory Physiology and Lung.

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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