Tsutomu Endo

80 papers receiving 802 citations

Peers

Tsutomu Endo
Comparison fields: 5 of 113
  • Surgery 319
  • Cardiology and Cardiovascular Medicine 227
  • Computer Vision and Pattern Recognition 108
  • Pathology and Forensic Medicine 102
  • Radiology, Nuclear Medicine and Imaging 86
Replace Artur Klepaczko with:
Artur Klepaczko Poland
Carlos López Spain
Yuhan Cao China
Daniel Forsberg Sweden
Sachiyuki Tsukada Japan
Christoph Schuhmann Germany
Wenkai Tan China
Bing Tian China
Sung Il Kim South Korea
Tsutomu Endo relative to Artur Klepaczko Poland Artur Klepaczko's profile →
Citations per field
00.5×6.7×
Artur Klepaczko · 1×
Citations per year

Countries citing papers authored by Tsutomu Endo

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsutomu Endo

This figure shows the co-authorship network connecting the top 25 collaborators of Tsutomu Endo. A scholar is included among the top collaborators of Tsutomu Endo 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 Tsutomu Endo. Tsutomu Endo 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
#WorkIndexed citations
1 2
2 0
3 1
4 5
5 8
6 0
7 1
8 2
9 10
10 7
11 28
12
Abstract 11578: Impact of the Contrast-Induced Nephropathy Definition on Long-term Outcome in Patients With Acute Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention
1
13
Posture identification for evaluation of multi-party interaction
0
14 4
15
Personal Identification Using Facial Feature and Context for Partially Occluded Images
0
16 1
17
An aperiodic array antenna using diamond tiles as subarrays
5
18 10
19
INFORMATION UNDERSTANDING SYSTEM OF BASIC WEATHER REPORT.
2
20
An understanding system of natural language and pictorial pattern in the world of weather report
2

About Tsutomu Endo

Tsutomu Endo is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 94 papers that have together received 842 indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (17 papers), Spine and Intervertebral Disc Pathology (16 papers) and Spinal Fractures and Fixation Techniques (16 papers). The work is most often cited by research in Physiology (47 citations), Cardiology and Cardiovascular Medicine (227 citations) and Computer Graphics and Computer-Aided Design (30 citations). Tsutomu Endo has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Eiji Kawaguchi, Norimasa Iwasaki, Kazuo Kimura, Masahiko Takahata, Teruyasu Sugano, Satoshi Umemura, Katsuhisa Yamada, Masami Kosuge, Hideki Sudo and J. Matsunaga. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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