Junichi Nakamura

1.8k total citations
80 papers, 1.2k citations indexed

About

Junichi Nakamura is a scholar working on Electrical and Electronic Engineering, Media Technology and Artificial Intelligence. According to data from OpenAlex, Junichi Nakamura has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 13 papers in Media Technology and 11 papers in Artificial Intelligence. Recurrent topics in Junichi Nakamura's work include CCD and CMOS Imaging Sensors (29 papers), Natural Language Processing Techniques (10 papers) and Image Processing Techniques and Applications (9 papers). Junichi Nakamura is often cited by papers focused on CCD and CMOS Imaging Sensors (29 papers), Natural Language Processing Techniques (10 papers) and Image Processing Techniques and Applications (9 papers). Junichi Nakamura collaborates with scholars based in Japan, United States and France. Junichi Nakamura's co-authors include Makoto Nagao, Isao Takayanagi, Eric R. Fossum, Jun’ichi Tsujii, Kyotaro Nakamura, Hiroyuki Katayama, Akiyoshi Kawaguchi, Bedabrata Pain, Kazuaki Matsumura and Naoki Nakajima and has published in prestigious journals such as Journal of Applied Physics, Proceedings of the IEEE and Macromolecules.

In The Last Decade

Junichi Nakamura

76 papers receiving 1.1k citations

Peers

Junichi Nakamura
Comparison fields: 5 of 126
  • Electrical and Electronic Engineering 597
  • Media Technology 191
  • Computer Vision and Pattern Recognition 160
  • Biomedical Engineering 157
  • Atomic and Molecular Physics, and Optics 153
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Ian Underwood United Kingdom View profile →
Citations per field, relative to Junichi Nakamura
Junichi Nakamura · 1×
Citations per year, relative to Junichi Nakamura
Junichi Nakamura · 1×

Countries citing papers authored by Junichi Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Junichi Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junichi Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Junichi Nakamura. A scholar is included among the top collaborators of Junichi Nakamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junichi Nakamura. Junichi Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 13
3 1
4 3
5 3
6 1
7 1
8
Influence of sulfur-type additives on rolling fatigue
1
9 0
10
A Tentative Approach to the CALL System of the Center for Information and Multimedia Studies at Kyoto University : The Present Tasks and Future Direction
1
11 21
12
Image sensor with image smoothing capability using a neuron MOSFET
1
13 1
14 19
15 0
16 5
17
The Japanese government project for machine translation
50
18 1
19 18
20 4

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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