M.L. Silbiger

2.1k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 12

Impact in

Papers in

M.L. Silbiger

17 papers receiving 1.4k citations

Hit Papers

MRI segmentation: Methods and applications 1995 · 514 citations
5141995202620052015100200300400500

Peers

M.L. Silbiger
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 709
  • Neurology 265
  • Radiology, Nuclear Medicine and Imaging 431
  • Media Technology 110
  • Artificial Intelligence 302
Replace Xin Yang with:
Xin Yang China
Peng Cao China
Yuchen Qiu United States
Leonardo Rundo Italy
Zeynettin Akkus United States
Georgy Gimel’farb New Zealand
Dorit D. Adler United States
Matthew T. Freedman United States
Abdel Aziz Taha Germany
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Citations per field
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Citations per year

Countries citing papers authored by M.L. Silbiger

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Silbiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Silbiger. 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 M.L. Silbiger. The network helps show where M.L. Silbiger may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20050
2 20051
3 199749
4 199744
5 199610
6 1996327
7
MRI segmentation: Methods and applications
Hit paper breakdown →
1995514
8 1995116
9 199585
10 1993127
11
MR imaging of an extreme case of cerebellar ectopia in a patient with Chiari II malformation.
19915
12 199182
13 19895
14 198737
15 19874
16 198738
17 198727
18 198565
19
RADIOTHERAPEUTIC RESPONSE OF PRIMARY LUNG CARCINOMA ACCORDING TO CELL TYPE.
19661

About M.L. Silbiger

M.L. Silbiger is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oral Surgery and Media Technology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Brain Tumor Detection and Classification (3 papers), Spinal Dysraphism and Malformations (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (709 citations), Neurology (265 citations), Radiology, Nuclear Medicine and Imaging (431 citations), Media Technology (110 citations) and Artificial Intelligence (302 citations). M.L. Silbiger has collaborated with scholars based in United States and Morocco. Frequent co-authors include Laurence P. Clarke, Lawrence Hall, Robert P. Velthuizen, Mohan Vaidyanathan, J A Arrington, John Heine, Marc A. Camacho, Robert W. Thatcher, A. Bensaid and James C. Bezdek. Their work appears in journals such as Magnetic Resonance Imaging, Radiology, Clinical Anatomy, IEEE Transactions on Fuzzy Systems and American Journal of Roentgenology.

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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