John C. Goble

35 papers receiving 1.5k citations

John C. Goble's Hit Papers

NOSER: An algorithm for solving the inverse conductivity problem 1990 · 463 citations
4630+12+24Years since publication100200300400

Peers

John C. Goble
Comparison fields: 5 of 88
  • Human-Computer Interaction 634
  • Computer Graphics and Computer-Aided Design 85
  • Computer Vision and Pattern Recognition 467
  • Cognitive Neuroscience 385
  • Geophysics 240
Replace Kees van den Doel with:
Kees van den Doel Canada
Takayuki Hoshi Japan
Maud Marchal France
Tsuyoshi Okita Japan
Koichi Hirota Japan
Ravish Mehra United States
Yasutoshi Makino Japan
Weili Yan China
Julien Fleureau France
Fei Meng China
John C. Goble relative to Kees van den Doel Canada Kees van den Doel's profile →
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Countries citing papers authored by John C. Goble

Since Specialization
Citations

This map shows the geographic impact of John C. Goble'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 John C. Goble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Goble more than expected).

Fields of papers citing papers by John C. Goble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Goble. 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 John C. Goble. The network helps show where John C. Goble may publish in the future.

Co-authors

The 25 scholars most cited alongside John C. Goble, 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 John C. Goble Line = papers co-authored together John C. Goble links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NOSER: An algorithm for solving the inverse conductivity problem
Hit paper breakdown →
1990463
2 1994338
3 1994251
4 1994159
5 1997104
6 199466
7 199557
8 199539
9 199521
10
The three-dimensional inverse problem in electric current computed tomography
199016
11 199412
12 199510
13 20058
14 19948
15 19948
16 20057
17
Metabolism of guanido-labeled (C-14)arginine in rats, mice, and man.
19807
18 19955
19 19935
20 20054

About John C. Goble

John C. Goble is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Geophysics, Biomedical Engineering and Human-Computer Interaction, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (12 papers), Geophysical and Geoelectrical Methods (8 papers), Augmented Reality Applications (8 papers), Interactive and Immersive Displays (6 papers), Medical Image Segmentation Techniques (5 papers), Flow Measurement and Analysis (5 papers), Hemodynamic Monitoring and Therapy (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (634 citations), Computer Graphics and Computer-Aided Design (85 citations), Computer Vision and Pattern Recognition (467 citations), Cognitive Neuroscience (385 citations) and Geophysics (240 citations). John C. Goble has collaborated with scholars based in United States and Finland. Frequent co-authors include Neal F. Kassell, Ken Hinckley, Randy Pausch, David Isaacson, J.C. Newell, Margaret Cheney, Steven J. Simske, G.J. Saulnier, D.G. Gisser and John W. Snell. Their work appears in journals such as Journal of Digital Imaging, Computer, Acta Neurochirurgica, Journal of neurosurgery and IEEE Transactions on Biomedical Engineering.

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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