Jane C. Asmuth

1.4k citations
18 papers · 963 · h-index 12

Impact in

Papers in

Jane C. Asmuth

18 papers receiving 836 citations

Peers

Jane C. Asmuth
Comparison fields: 5 of 72
  • Signal Processing 543
  • Computer Vision and Pattern Recognition 456
  • Information Systems 261
  • Safety Research 91
  • Radiology, Nuclear Medicine and Imaging 110
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Jane C. Asmuth relative to Ajaz Hussain Mir India Ajaz Hussain Mir's profile →
Citations per field
00.5×10×15.2×
Ajaz Hussain Mir · 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

18 of 18 papers shown
#Work
1 1996313
2 2002239
3 200591
4 200270
5 200356
6 200352
7 199628
8 200226
9 199620
10 199919
11 200614
12 200113
13 20038
14 19965
15
Fast, Full Chip Image Stitching of Nanoscale Integrated Circuits
20194
16 19902
17 20022
18 20021

About Jane C. Asmuth

Jane C. Asmuth is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Signal Processing and Aerospace Engineering, having authored 18 papers that have together received 963 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers), Biometric Identification and Security (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Optical measurement and interference techniques (2 papers), MRI in cancer diagnosis (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Signal Processing (543 citations), Computer Vision and Pattern Recognition (456 citations), Information Systems (261 citations), Safety Research (91 citations) and Radiology, Nuclear Medicine and Imaging (110 citations). Jane C. Asmuth has collaborated with scholars based in United States, France and Canada. Frequent co-authors include R.J. Kolczynski, James R. Matey, Sterling E. McBride, Richard P. Wildes, S.C. Hsu, David E. Weissman, Michael L. Littman, Håkan L. S. Younes, Raman Kumar and Harpreet Sawhney. Their work appears in journals such as Machine Vision and Applications, Academic Radiology, American Journal of Roentgenology, Journal of Computer Assisted Tomography and British Journal of Ophthalmology.

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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