James G. Malcolm
Impact in
- Computational Mathematics top 2%
- Neurology top 2%
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Medical Image Segmentation Techniques 10
- Advanced Vision and Imaging 5
- Image Retrieval and Classification Techniques 5
-
- Advanced Neuroimaging Techniques and Applications 14
- Advanced MRI Techniques and Applications 8
- Co-authors
- Yogesh Rathi (22 shared papers)Martha E. Shenton (14 shared papers)Allen Tannenbaum (16 shared papers)Faiz U. Ahmad (12 shared papers)Gustavo Pradilla (9 shared papers)Rima S. Rindler (8 shared papers)Jonathan A Grossberg (10 shared papers)Jason Chu (5 shared papers)
- Journals
- Neurosurgery (8 papers)World Neurosurgery (6 papers)Journal of Neuro-Oncology (2 papers)Operative Neurosurgery (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
James G. Malcolm
60 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Computational Mathematics 52
- Neurology 508
- Radiology, Nuclear Medicine and Imaging 574
- Computer Vision and Pattern Recognition 214
- Genetics 91
Countries citing papers authored by James G. Malcolm
This map shows the geographic impact of James G. Malcolm'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 James G. Malcolm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James G. Malcolm more than expected).
Fields of papers citing papers by James G. Malcolm
This network shows the impact of papers produced by James G. Malcolm. 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 James G. Malcolm. The network helps show where James G. Malcolm may publish in the future.
Co-authors
The 25 scholars most cited alongside James G. Malcolm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 293 | |
| 2 | 2010 | 176 | |
| 3 | 2016 | 135 | |
| 4 | 2017 | 122 | |
| 5 | 2018 | 79 | |
| 6 | 2017 | 77 | |
| 7 | 2016 | 68 | |
| 8 | 2007 | 62 | |
| 9 | 2007 | 49 | |
| 10 | 2019 | 47 | |
| 11 | 2017 | 45 | |
| 12 | 2022 | 39 | |
| 13 | 2016 | 37 | |
| 14 | 2010 | 34 | |
| 15 | 2008 | 34 | |
| 16 | 2017 | 32 | |
| 17 | 2009 | 30 | |
| 18 | 2007 | 30 | |
| 19 | 2009 | 26 | |
| 20 | 2010 | 22 |
About James G. Malcolm
James G. Malcolm is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology, Computational Mathematics and Pathology and Forensic Medicine, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (14 papers), Medical Image Segmentation Techniques (10 papers), Tensor decomposition and applications (8 papers), Advanced MRI Techniques and Applications (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Spine and Intervertebral Disc Pathology (7 papers), Advanced Vision and Imaging (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computational Mathematics (52 citations), Neurology (508 citations), Radiology, Nuclear Medicine and Imaging (574 citations), Computer Vision and Pattern Recognition (214 citations) and Genetics (91 citations). James G. Malcolm has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Yogesh Rathi, Martha E. Shenton, Allen Tannenbaum, Faiz U. Ahmad, Gustavo Pradilla, Rima S. Rindler, Jonathan A Grossberg, Jason Chu, Ken Sakaie and Alvina Goh. Their work appears in journals such as Neurosurgery, World Neurosurgery, Journal of Neuro-Oncology, Operative Neurosurgery and Medical Image Analysis.
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.