Matthew McAuliffe
Impact in
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Aging top 5%
Papers in
-
- Cell Image Analysis Techniques 7
-
- Medical Image Segmentation Techniques 19
- Advanced Neural Network Applications 7
- Co-authors
- William GandlerDelia P. McGarryBenes L. TrusK.G. CsakyFrançois LalondeEvan McCreedyYicong WuHari Shroff
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Neuroinformatics (1 paper)Medical Physics (1 paper)Pathology (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Matthew McAuliffe
49 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 162
- Biophysics 380
- Aging 65
- Structural Biology 42
- Radiology, Nuclear Medicine and Imaging 537
- Computer Vision and Pattern Recognition 301
Countries citing papers authored by Matthew McAuliffe
This map shows the geographic impact of Matthew McAuliffe'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 Matthew McAuliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew McAuliffe more than expected).
Fields of papers citing papers by Matthew McAuliffe
This network shows the impact of papers produced by Matthew McAuliffe. 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 Matthew McAuliffe. The network helps show where Matthew McAuliffe may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew McAuliffe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2021 | 9 | |
| 3 | 2018 | 2 | |
| 4 | 2017 | 1 | |
| 5 | 2014 | 132 | |
| 6 | 2014 | 53 | |
| 7 | 2013 | 217 | |
| 8 | 2013 | 5 | |
| 9 | 2012 | 98 | |
| 10 | 2010 | 58 | |
| 11 | 2007 | 194 | |
| 12 | 2007 | 111 | |
| 13 | 2007 | 110 | |
| 14 | 2006 | 15 | |
| 15 | 2005 | 60 | |
| 16 | 2005 | 17 | |
| 17 | 2002 | 11 | |
| 18 | 2001 | 24 | |
| 19 | 1995 | 47 | |
| 20 | 1982 | 23 |
About Matthew McAuliffe
Matthew McAuliffe is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Structural Biology, Equine and Aging, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Cell Image Analysis Techniques (7 papers), Advanced Neural Network Applications (7 papers), Medical Imaging and Analysis (5 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Radiotherapy Techniques (4 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). The work is most often cited by research in Biophysics (380 citations), Aging (65 citations), Structural Biology (42 citations), Radiology, Nuclear Medicine and Imaging (537 citations) and Computer Vision and Pattern Recognition (301 citations). Matthew McAuliffe has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include William Gandler, Delia P. McGarry, Benes L. Trus, K.G. Csaky, François Lalonde, Evan McCreedy, Yicong Wu, Hari Shroff, Daniel A. Colón‐Ramos and Zhirong Bao. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Neuroinformatics, Medical Physics, Pathology and Magnetic Resonance in Medicine.
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.