Hideki Atsumi

4.4k citations
46 papers · 2.8k indexed · 2 hit papers · h-index 17

Hideki Atsumi

45 papers receiving 2.7k citations

Hit Papers

Three-dimensional multi-scale line filter for segmentatio...81419962026200620164008001.2k

Peers

Hideki Atsumi
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Biophysics 146
  • Computer Graphics and Computer-Aided Design 79
  • Neurology 347
Replace Shin Nakajima with:
Shin Nakajima Japan
T.M. Peters Canada
Horst K. Hahn Germany
Ron Kikinis United States
André Collignon Belgium
Luke Sonoda United Kingdom
Grégoire Malandain France
Mirza Faisal Beg Canada
Wiesław L. Nowinski Singapore
Pierre Hellier France
Hideki Atsumi relative to Shin Nakajima Japan Shin Nakajima's profile →
Citations per field
00.5×1.6×
Shin Nakajima · 1×
Citations per year

Countries citing papers authored by Hideki Atsumi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Atsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20215
3 20192
4 20192
5 20191
6 20191
7 201818
8 201719
9 201420
10 20108
11 20104
12 20035
13 20028
14 200118
15 200121
16
Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical imagesbreakdown →
1998814
17 199813
18 19981
19 199719
20
Multi-modal volume registration by maximization of mutual informationbreakdown →
19961361

About Hideki Atsumi

Hideki Atsumi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Genetics, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurosurgical Procedures and Complications (13 papers), Cerebrospinal fluid and hydrocephalus (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Glioma Diagnosis and Treatment (6 papers), Advanced MRI Techniques and Applications (6 papers), Fetal and Pediatric Neurological Disorders (6 papers) and Acute Ischemic Stroke Management (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Biophysics (146 citations). Hideki Atsumi has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Shin Nakajima, Ron Kikinis, William M. Wells, Paul Viola, Ron Kikinis, Guido Gerig, Yoshinobu Sato, Shigeyuki Yoshida, Nobuyuki Shiraga and Thomas Koller. Their work appears in journals such as Neurologia medico-chirurgica, World Neurosurgery, Magnetic Resonance in Medical Sciences, Neurosurgery and Journal of neurosurgery.

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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