Daniel Adler
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in
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- Medical Image Segmentation Techniques 4
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- Advanced Neuroimaging Techniques and Applications 4
- Medical Imaging Techniques and Applications 2
- Co-authors
- John B. McIntyre (1 shared paper)Glòria Roldán (1 shared paper)J. Gregory Cairncross (1 shared paper)J. Ross Mitchell (1 shared paper)Sylvia Drabycz (1 shared paper)Paula de Robles (1 shared paper)Anthony M. Magliocco (1 shared paper)Paul A. Yushkevich (6 shared papers)
- Journals
- NeuroImage (2 papers)American Journal of Obstetrics and Gynecology (2 papers)Journal of Surveying Engineering (2 papers)Clinical Chemistry (1 paper)Journal of Statistical Software (1 paper)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Daniel Adler
18 papers receiving 584 citations
Peers
Comparison fields: 5 of 101
- Genetics 141
- Radiology, Nuclear Medicine and Imaging 147
- Orthopedics and Sports Medicine 41
- Cognitive Neuroscience 80
- Biophysics 23
Countries citing papers authored by Daniel Adler
This map shows the geographic impact of Daniel Adler'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 Daniel Adler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Adler more than expected).
Fields of papers citing papers by Daniel Adler
This network shows the impact of papers produced by Daniel Adler. 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 Daniel Adler. The network helps show where Daniel Adler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Adler, 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 | 2009 | 173 | |
| 2 | 2013 | 114 | |
| 3 | 2015 | 87 | |
| 4 | 1973 | 68 | |
| 5 | 2004 | 60 | |
| 6 | 2019 | 30 | |
| 7 | 2016 | 18 | |
| 8 | 1976 | 16 | |
| 9 | 2012 | 12 | |
| 10 | 2016 | 5 | |
| 11 | 1964 | 5 | |
| 12 | 2012 | 5 | |
| 13 | 3D Visualization Using OpenGL [R package rgl version 0.107.14] | 2021 | 4 |
| 14 | 2003 | 3 | |
| 15 | 2004 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2006 | 1 | |
| 18 | R Package Distribution of the BayesX C++ Sources | 2013 | 1 |
About Daniel Adler
Daniel Adler is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 18 papers that have together received 608 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Medical Imaging Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), Gynecological conditions and treatments (2 papers), Alzheimer's disease research and treatments (1 paper) and Inhalation and Respiratory Drug Delivery (1 paper). The work is most often cited by research in Genetics (141 citations), Radiology, Nuclear Medicine and Imaging (147 citations), Orthopedics and Sports Medicine (41 citations), Cognitive Neuroscience (80 citations) and Biophysics (23 citations). Daniel Adler has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include John B. McIntyre, Glòria Roldán, J. Gregory Cairncross, J. Ross Mitchell, Sylvia Drabycz, Paula de Robles, Anthony M. Magliocco, Paul A. Yushkevich, John Pluta and Peter Goldsmith. Their work appears in journals such as NeuroImage, American Journal of Obstetrics and Gynecology, Journal of Surveying Engineering, Clinical Chemistry and Journal of Statistical Software.
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.