Junta Doi

38 papers receiving 402 citations

Peers

Junta Doi
Comparison fields: 5 of 75
  • Geology 22
  • Signal Processing 43
  • Molecular Biology 236
  • Physical and Theoretical Chemistry 32
  • Fluid Flow and Transfer Processes 19
Replace Ramachandran Gnanasekaran with:
Ramachandran Gnanasekaran India
Jonas Köhler Germany
Andrew J. Ballard United States
Yu-Hong Tan United States
Simon K. Bramble United Kingdom
Andrew Rechnitzer Canada
Takashi Matsuda Japan
Rohit Jain India
Marco Pretti Italy
Yukito Iba Japan
Junta Doi relative to Ramachandran Gnanasekaran India Ramachandran Gnanasekaran's profile →
Citations per field
00.5×1.5×
Ramachandran Gnanasekaran · 1×
Citations per year

Countries citing papers authored by Junta Doi

Since Specialization
Citations

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

Fields of papers citing papers by Junta Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Junta Doi, 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 Junta Doi Line = papers co-authored together Junta Doi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995100
2 199638
3 199436
4 199534
5 199826
6 199523
7 199422
8 200521
9 198721
10 200414
11 199714
12 199610
13 19968
14 20035
15 20065
16 20054
17 20054
18 20064
19 20044
20
Extraction of Three-Dimensional Multiple Skeletons and Digital Medial Skeleton
19952

About Junta Doi

Junta Doi is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Aerospace Engineering, having authored 39 papers that have together received 421 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (9 papers), Protein Structure and Dynamics (8 papers), Robotics and Sensor-Based Localization (7 papers), 3D Shape Modeling and Analysis (6 papers), Biometric Identification and Security (5 papers), Optical measurement and interference techniques (3 papers), Computational Drug Discovery Methods (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Geology (22 citations), Signal Processing (43 citations), Molecular Biology (236 citations), Physical and Theoretical Chemistry (32 citations) and Fluid Flow and Transfer Processes (19 citations). Junta Doi has collaborated with scholars based in Japan, France and Canada. Frequent co-authors include Mitsunori Ikeguchi, Hidetoshi Kono, Shugo Nakamura, Wataru Sato, Masaru Tanokura, Takeshi Kawabata, Makoto Nishiyama, Hitoshi Hirose, Kentaro Shimizu and Takahiro Ishii. Their work appears in journals such as The Journal of Physical Chemistry, Journal of Computational Chemistry, Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics and Protein Engineering Design and Selection.

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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