Berk Norman

890 total citations · 1 hit paper
8 papers, 599 citations indexed

About

Berk Norman is a scholar working on Rheumatology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Berk Norman has authored 8 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 3 papers in Surgery and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Berk Norman's work include Osteoarthritis Treatment and Mechanisms (6 papers), Knee injuries and reconstruction techniques (3 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Berk Norman is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), Knee injuries and reconstruction techniques (3 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Berk Norman collaborates with scholars based in United States and Australia. Berk Norman's co-authors include Valentina Pedoia, Sharmila Majumdar, Thomas M. Link, Thomas M. Link, Matthew D. Bucknor, Jinwoo Lee, Peter Eklund and Michaël J. A. Girard and has published in prestigious journals such as Radiology, Osteoarthritis and Cartilage and Journal of Magnetic Resonance Imaging.

In The Last Decade

Berk Norman

8 papers receiving 586 citations

Hit Papers

Use of 2D U-Net Convolutional Neural Networks for Automat... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry
    2018 284 citations Berk Norman, Valentina Pedoia et al. Radiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Berk Norman United States 5 272 210 209 197 67 8 599
Zhaoye Zhou United States 9 229 0.8× 299 1.4× 289 1.4× 253 1.3× 68 1.0× 13 789
Gengyan Zhao United States 8 147 0.5× 273 1.3× 357 1.7× 118 0.6× 84 1.3× 9 645
Kevin Lian Canada 7 82 0.3× 166 0.8× 145 0.7× 225 1.1× 17 0.3× 13 490
Jukka Hirvasniemi Finland 15 294 1.1× 190 0.9× 105 0.5× 220 1.1× 33 0.5× 33 513
Alexander Tack Germany 7 182 0.7× 173 0.8× 103 0.5× 170 0.9× 99 1.5× 10 466
Felix Ambellan Germany 6 123 0.5× 148 0.7× 81 0.4× 108 0.5× 102 1.5× 13 375
Sarah C. Foreman United States 15 187 0.7× 167 0.8× 220 1.1× 258 1.3× 7 0.1× 42 606
Rutwik Shah United States 9 116 0.4× 109 0.5× 88 0.4× 127 0.6× 10 0.1× 19 286
Kyong Joon Lee South Korea 14 45 0.2× 88 0.4× 217 1.0× 128 0.6× 75 1.1× 40 575
Claudio E. von Schacky Germany 10 79 0.3× 147 0.7× 211 1.0× 78 0.4× 8 0.1× 22 362

Countries citing papers authored by Berk Norman

Since Specialization
Citations

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

Fields of papers citing papers by Berk Norman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berk Norman

This figure shows the co-authorship network connecting the top 25 collaborators of Berk Norman. A scholar is included among the top collaborators of Berk Norman 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 Berk Norman. Berk Norman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Pedoia, Valentina, Jinwoo Lee, Berk Norman, Thomas M. Link, & Sharmila Majumdar. (2019). Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort. Osteoarthritis and Cartilage. 27(7). 1002–1010. 73 indexed citations
2.
Norman, Berk, Valentina Pedoia, Thomas M. Link, & Sharmila Majumdar. (2018). Artificial intelligence pipeline for meniscus segmentation and lesion detection. Osteoarthritis and Cartilage. 26. S440–S441. 3 indexed citations
3.
Norman, Berk, et al.. (2018). Automatic knee Kellgren Lawrence grading with artificial intelligence. Osteoarthritis and Cartilage. 26. S436–S437. 3 indexed citations
4.
Norman, Berk, et al.. (2018). Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. Journal of Digital Imaging. 32(3). 471–477. 116 indexed citations
5.
Girard, Michaël J. A., et al.. (2018). Automatic segmentation of hip cartilage with deep convolutional neural nets for the evaluation of acetabulum and femoral T1ρ and T2 relaxation times.. Osteoarthritis and Cartilage. 26. S439–S440. 1 indexed citations
6.
Norman, Berk, Valentina Pedoia, & Sharmila Majumdar. (2018). Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry. Radiology. 288(1). 177–185. 284 indexed citations breakdown →
7.
8.
Eklund, Peter, et al.. (2002). A Mahalanobis distance fuzzy classifier. 2. 220–223. 8 indexed citations

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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