Takashi Ida

610 total citations
32 papers, 421 citations indexed

About

Takashi Ida is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Takashi Ida has authored 32 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 7 papers in Media Technology. Recurrent topics in Takashi Ida's work include Analog and Mixed-Signal Circuit Design (6 papers), Digital Holography and Microscopy (5 papers) and Advancements in PLL and VCO Technologies (4 papers). Takashi Ida is often cited by papers focused on Analog and Mixed-Signal Circuit Design (6 papers), Digital Holography and Microscopy (5 papers) and Advancements in PLL and VCO Technologies (4 papers). Takashi Ida collaborates with scholars based in Japan and Thailand. Takashi Ida's co-authors include Ichirou Yamaguchi, Masayuki Yokota, Toshiaki Watanabe, Nobuyuki Matsumoto, Haruo Kobayashi, Akifumi Ueno, Yuki Ozawa, Akira Tanaka, Masaharu Nomura and Yoshihide Kotera and has published in prestigious journals such as Carbon, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Takashi Ida

30 papers receiving 392 citations

Peers

Takashi Ida
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 259
  • Media Technology 140
  • Atomic and Molecular Physics, and Optics 113
  • Biomedical Engineering 52
  • Electrical and Electronic Engineering 35
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Citations per field, relative to Takashi Ida
Takashi Ida · 1×
Citations per year, relative to Takashi Ida
Takashi Ida · 1×

Countries citing papers authored by Takashi Ida

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Ida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Ida

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Ida. A scholar is included among the top collaborators of Takashi Ida 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 Takashi Ida. Takashi Ida 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 2
2 0
3 5
4 1
5 3
6 3
7
A Study on One Frame Reconstruction-based Super-resolution Using Image Segmentation
7
8
Reconstruction-based Super-resolution Using Self-congruency of Images
3
9
Extracting Object Regions Using Locally Estimated Probability Density Functions.
2
10 106
11 1
12 2
13 3
14 15
15 3
16 1
17 5
18 2
19 3
20 6

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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