Mitsuru Ikeda

270 papers receiving 3.8k citations

Peers

Mitsuru Ikeda
Comparison fields: 5 of 184
  • Neurology 282
  • Radiology, Nuclear Medicine and Imaging 681
  • Computer Science Applications 142
  • Industrial and Manufacturing Engineering 246
  • Communication 162
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Allan Hanbury Austria
Jinman Kim Australia
Muhammad Adnan Khan Pakistan
Suhuai Luo Australia
Chris Miller United States
Philippe C. Cattin Switzerland
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Citations per year

Countries citing papers authored by Mitsuru Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 282 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014199
2 2010121
3 201292
4 200878
5 200871
6
FBRL: a function and behavior representation language
199567
7 200964
8 201162
9 200959
10 201557
11 200954
12 200753
13 199551
14 199050
15 200750
16 200250
17 200349
18 201349
19 201048
20 201447

About Mitsuru Ikeda

Mitsuru Ikeda is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Mechanical Engineering, Artificial Intelligence and Aerospace Engineering, having authored 282 papers that have together received 4.0k indexed citations. Recurring topics across this work include Electrical Contact Performance and Analysis (31 papers), Digital Radiography and Breast Imaging (25 papers), Railway Engineering and Dynamics (22 papers), Railway Systems and Energy Efficiency (21 papers), Aerodynamics and Fluid Dynamics Research (21 papers), Innovative Teaching and Learning Methods (20 papers), Semantic Web and Ontologies (20 papers) and Radiation Dose and Imaging (17 papers). The work is most often cited by research in Neurology (282 citations), Radiology, Nuclear Medicine and Imaging (681 citations), Computer Science Applications (142 citations), Industrial and Manufacturing Engineering (246 citations) and Communication (162 citations). Mitsuru Ikeda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Shinji Naganawa, Takeo Ishigaki, Takehisa TAKAISHI, Hiroko Satake, Shigeki Itoh, Md. Anwarul Islam, Riichiro Mizoguchi, Hisashi Kawai, Shingo Iwano and Naresh Kumar Agarwal. Their work appears in journals such as Magnetic Resonance in Medical Sciences, European Radiology, European Journal of Radiology, Computerized Medical Imaging and Graphics and British Journal of Radiology.

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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