Junichi Mori

999 citations
69 papers · 809 · h-index 16

Impact in

Papers in

Junichi Mori

67 papers receiving 784 citations

Peers

Junichi Mori
Comparison fields: 5 of 132
  • Control and Systems Engineering 171
  • Pollution 75
  • Statistics, Probability and Uncertainty 44
  • Agronomy and Crop Science 58
  • Analytical Chemistry 53
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Yong Liang Pan China
Kevin McBride Germany
Jinhua Liu China
Dong‐Hee Lee South Korea
Ulrich Krühne Denmark
Haobo Zhang China
Ryan Gosselin Canada
Xueyao Li China
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Citations per field
00.5×5×10×15×19.3×
Yong Liang Pan · 1×
Citations per year

Countries citing papers authored by Junichi Mori

Since Specialization
Citations

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

Fields of papers citing papers by Junichi Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201354
2 201354
3 201751
4 201048
5 200843
6 201441
7 201437
8 200036
9 201934
10 199628
11 199326
12 201522
13 198121
14 201321
15 197520
16 201318
17 201416
18 199415
19 201314
20 199814

About Junichi Mori

Junichi Mori is a scholar working on Analytical Chemistry, Control and Systems Engineering, Agronomy and Crop Science, Statistics, Probability and Uncertainty and Genetics, having authored 69 papers that have together received 809 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (15 papers), Spectroscopy and Chemometric Analyses (10 papers), Mineral Processing and Grinding (9 papers), Reproductive Physiology in Livestock (6 papers), Animal Genetics and Reproduction (5 papers), Enzyme Production and Characterization (3 papers), Biofuel production and bioconversion (3 papers) and Labor market dynamics and wage inequality (3 papers). The work is most often cited by research in Control and Systems Engineering (171 citations), Pollution (75 citations), Statistics, Probability and Uncertainty (44 citations), Agronomy and Crop Science (58 citations) and Analytical Chemistry (53 citations). Junichi Mori has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Jie Yu, Vladimir Mahalec, MUDASSIR M. RASHID, Toshio Inaba, Kazuyuki Kuroda, Makoto Ogawa, N. Kawate, Hidetoshi Oikawa, Hitoshi Kasai and Hachiro Nakanishi. Their work appears in journals such as Computers & Chemical Engineering, Theriogenology, Japanese Journal of Applied Physics, Journal of Crystal Growth and Applied and Environmental Microbiology.

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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