James G. Malcolm

2.5k citations
65 papers · 1.7k · h-index 21

Impact in

Papers in

James G. Malcolm

60 papers receiving 1.7k citations

Peers

James G. Malcolm
Comparison fields: 5 of 114
  • Computational Mathematics 52
  • Neurology 508
  • Radiology, Nuclear Medicine and Imaging 574
  • Computer Vision and Pattern Recognition 214
  • Genetics 91
Replace Peter Hastreiter with:
Peter Hastreiter Germany
Frans M. Vos Netherlands
Horst K. Hahn Germany
A. Nabavi Germany
F.A. Jolesz United States
Jan Klein Germany
Hatsuho Mamata United States
Lisa Jonasson Switzerland
Dirk H. J. Poot Netherlands
James G. Malcolm relative to Peter Hastreiter Germany Peter Hastreiter's profile →
Citations per field
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Citations per year

Countries citing papers authored by James G. Malcolm

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with James G. Malcolm Line = papers co-authored together James G. Malcolm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011293
2 2010176
3 2016135
4 2017122
5 201879
6 201777
7 201668
8 200762
9 200749
10 201947
11 201745
12 202239
13 201637
14 201034
15 200834
16 201732
17 200930
18 200730
19 200926
20 201022

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.

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