Andrew J. Asman

1.1k citations
35 papers · 754 indexed · h-index 15
Topics
Medical Image Segmentation Techniques (21 papers)Medical Imaging and Analysis (8 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
Partner nations
United States

In The Last Decade

Andrew J. Asman

35 papers receiving 746 citations

Peers

Andrew J. Asman
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 371
  • Radiology, Nuclear Medicine and Imaging 334
  • Biomedical Engineering 142
  • Artificial Intelligence 89
  • Neurology 89
Replace Jung W. Suh with:
Jung W. Suh United States
Ivana Despotović Belgium
Zhuangzhi Yan China
Sushmita Datta United States
Dinggang Shen United States
Eloy Roura Spain
Andrea U. J. Mewes United States
Annemie Ribbens Belgium
Yufan He United States
Bilwaj Gaonkar United States
Andrew J. Asman relative to Jung W. Suh United States Jung W. Suh's profile →
Citations per field
00.5×1.5×
Jung W. Suh · 1×
Citations per year

Countries citing papers authored by Andrew J. Asman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Asman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Asman. 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 Andrew J. Asman. The network helps show where Andrew J. Asman may publish in the future.

Co-authorship network of co-authors of Andrew J. Asman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Asman. A scholar is included among the top collaborators of Andrew J. Asman 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 Andrew J. Asman. Andrew J. Asman 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 28
2 4
3 4
4 32
5 15
6 2
7 11
8 51
9 2
10 12
11 12
12 5
13 3
14 77
15 1
16 1
17 3
18 3
19 6
20 56

About Andrew J. Asman

Andrew J. Asman is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 35 papers that have together received 754 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Medical Imaging and Analysis (8 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Radiology, Nuclear Medicine and Imaging (334 citations) and Neurology (89 citations). Andrew J. Asman has collaborated with scholars based in United States. Frequent co-authors include Bennett A. Landman, Seth A. Smith, Yuankai Huo, Andrew J. Plassard, Daniel S. Reich, Jerry L. Prince, John Bogovic, Robert L. Galloway, Zhoubing Xu and Fangxu Xing. Their work appears in journals such as PLoS ONE, NeuroImage and IEEE Transactions on Medical Imaging.

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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