K. Muramoto

1.7k citations
95 papers · 1.4k · h-index 20

Impact in

Papers in

    • Cryospheric studies and observations 21
    • Precipitation Measurement and Analysis 20
    • Meteorological Phenomena and Simulations 19
    • Arctic and Antarctic ice dynamics 8
    • Remote Sensing and LiDAR Applications 14

K. Muramoto

90 papers receiving 1.3k citations

Peers

K. Muramoto
Comparison fields: 5 of 120
  • Endocrine and Autonomic Systems 227
  • Cellular and Molecular Neuroscience 459
  • Cognitive Neuroscience 376
  • Behavioral Neuroscience 68
  • Atmospheric Science 268
Replace René Bernard with:
René Bernard Germany
Ryo Yamamoto Japan
Xiaojing Gao China
Robin Stevens United Kingdom
B. Holmgren Sweden
William Sawyer United States
Michael R. Gorman United States
Bruno Cozzi Italy
Paola Tognini Italy
K. Muramoto relative to René Bernard Germany René Bernard's profile →
Citations per field
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René Bernard · 1×
Citations per year

Countries citing papers authored by K. Muramoto

Since Specialization
Citations

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

Fields of papers citing papers by K. Muramoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993108
2 198799
3 197889
4 198280
5 200479
6 198155
7 200853
8 198040
9 198040
10 200240
11 198437
12 201336
13 198332
14 199930
15 198329
16 199927
17 199127
18 198125
19 201524
20 200922

About K. Muramoto

K. Muramoto is a scholar working on Atmospheric Science, Environmental Engineering, Ecology, Cognitive Neuroscience and Global and Planetary Change, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cryospheric studies and observations (21 papers), Precipitation Measurement and Analysis (20 papers), Meteorological Phenomena and Simulations (19 papers), Remote Sensing and LiDAR Applications (14 papers), Remote Sensing in Agriculture (9 papers), Arctic and Antarctic ice dynamics (8 papers), Sleep and Wakefulness Research (6 papers) and Forest ecology and management (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (227 citations), Cellular and Molecular Neuroscience (459 citations), Cognitive Neuroscience (376 citations), Behavioral Neuroscience (68 citations) and Atmospheric Science (268 citations). K. Muramoto has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Taketoshi Ono, Hitoo Nishino, Masaji Fukuda, Kazuo Sasaki, Tetsuo Ono, Mamoru Kubo, Masayuki Fukuda, Hisao Nishijo, Satoru Kato and Yutaka Oomura. Their work appears in journals such as Brain Research, Journal of the Meteorological Society of Japan Ser II, Annals of Glaciology, Neuroscience and Neuroscience Research.

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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