N. Asada

1.2k citations
43 papers · 615 · h-index 11

Impact in

Papers in

N. Asada

40 papers receiving 580 citations

Peers

N. Asada
Comparison fields: 5 of 88
  • Astronomy and Astrophysics 258
  • Media Technology 91
  • Computer Vision and Pattern Recognition 189
  • Computer Graphics and Computer-Aided Design 12
  • Atmospheric Science 55
Replace Erik R. Urbach with:
Erik R. Urbach Netherlands
Pedro L. Luque‐Escamilla Spain
Junjie Zhao China
Scott McCloskey United States
Roger L. Easton United States
Pierre Chainais France
K. Revathy India
Lewis Smith United Kingdom
M. Kitahara Japan
Federico Benvenuto Italy
N. Asada relative to Erik R. Urbach Netherlands Erik R. Urbach's profile →
Citations per field
00.5×4.8×
Erik R. Urbach · 1×
Citations per year

Countries citing papers authored by N. Asada

Since Specialization
Citations

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

Fields of papers citing papers by N. Asada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008137
2 1990118
3 199673
4 199853
5 198542
6 198325
7 198121
8 201120
9 200519
10 200214
11 200613
12 199410
13 20116
14 20026
15 19656
16
Remote Sensing Study of a Large Lunar Crater Jackson
20105
17
Automatic Crater Recognition on Digital Terrain Model
20054
18 20074
19 20034
20
[Three-dimensional reconstruction of the left ventricle from two-dimensional echocardiograms].
19843

About N. Asada

N. Asada is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Aerospace Engineering, Media Technology and Atomic and Molecular Physics, and Optics, having authored 43 papers that have together received 615 indexed citations. Recurring topics across this work include Planetary Science and Exploration (10 papers), Image Processing and 3D Reconstruction (7 papers), Astro and Planetary Science (6 papers), Image Processing Techniques and Applications (5 papers), Advanced Vision and Imaging (4 papers), Geology and Paleoclimatology Research (3 papers), Advanced Image Processing Techniques (3 papers) and Geological Modeling and Analysis (3 papers). The work is most often cited by research in Astronomy and Astrophysics (258 citations), Media Technology (91 citations), Computer Vision and Pattern Recognition (189 citations), Computer Graphics and Computer-Aided Design (12 citations) and Atmospheric Science (55 citations). N. Asada has collaborated with scholars based in Japan and United States. Frequent co-authors include Akira Amano, Takashi Matsuyama, Steven M. Montner, Kunio Doi, Maryellen L. Giger, Heber MacMahon, Yao‐Kuang Wu, Chihiro Abe, Akira Fujiwara and H. Demura. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Radiology, Investigative Radiology, Chemical and Pharmaceutical Bulletin and Geophysical Research 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.

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