Jane C. Asmuth

1.4k citations
17 papers · 830 · h-index 12

Impact in

Papers in

Jane C. Asmuth

17 papers receiving 714 citations

Peers

Jane C. Asmuth
Comparison fields: 5 of 72
  • Signal Processing 450
  • Computer Vision and Pattern Recognition 387
  • Information Systems 218
  • Safety Research 73
  • Radiology, Nuclear Medicine and Imaging 140
Replace Mohammad A. U. Khan with:
Mohammad A. U. Khan Saudi Arabia
Jufu Feng China
Yingbo Zhou United States
Ajaz Hussain Mir India
K B Raja India
Somsak Choomchuay Thailand
Kh. Manglem Singh India
Natalia A. Schmid United States
Mahdi S. Hosseini Canada
Xin Ding China
Jane C. Asmuth relative to Mohammad A. U. Khan Saudi Arabia Mohammad A. U. Khan's profile →
Citations per field
00.5×4.9×
Mohammad A. U. Khan · 1×
Citations per year

Countries citing papers authored by Jane C. Asmuth

Since Specialization
Citations

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

Fields of papers citing papers by Jane C. Asmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane C. Asmuth. 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 Jane C. Asmuth. The network helps show where Jane C. Asmuth may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1996258
2 2002203
3 200580
4 200263
5 200350
6 200350
7 200225
8 199623
9 199917
10 199617
11 200614
12 200112
13 20036
14 19965
15
Fast, Full Chip Image Stitching of Nanoscale Integrated Circuits
20194
16 20022
17 19901

About Jane C. Asmuth

Jane C. Asmuth is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Signal Processing and Aerospace Engineering, having authored 17 papers that have together received 830 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Advanced Vision and Imaging (4 papers), Biometric Identification and Security (3 papers), Robotics and Sensor-Based Localization (2 papers), Image and Object Detection Techniques (2 papers), MRI in cancer diagnosis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Signal Processing (450 citations), Computer Vision and Pattern Recognition (387 citations), Information Systems (218 citations), Safety Research (73 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Jane C. Asmuth has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Sterling E. McBride, Richard P. Wildes, James R. Matey, R.J. Kolczynski, S.C. Hsu, David E. Weissman, Håkan L. S. Younes, Michael L. Littman, Lawrence Dougherty and Raman Kumar. Their work appears in journals such as Academic Radiology, Machine Vision and Applications, British Journal of Ophthalmology, American Journal of Roentgenology and Journal of Artificial Intelligence Research.

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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