Greg Jones

603 citations
26 papers · 526 · h-index 10

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
  • Radiation top 10%
    • Advanced X-ray Imaging Techniques

Papers in

Greg Jones

23 papers receiving 507 citations

Peers

Greg Jones
Comparison fields: 5 of 104
  • Biophysics 74
  • Radiation 74
  • Structural Biology 8
  • Urology 22
  • Radiology, Nuclear Medicine and Imaging 66
Replace Ting Song with:
Ting Song China
Shanmugasundaram Venkataraman United Kingdom
Udo Jochen Birk Germany
Natalia Chicherova Switzerland
Farzad Fereidouni United States
Thomas Neumann Germany
Siyuan Dong China
Pierre Corcuff France
Robert J. Filkins United States
Armen R. Kherlopian United States
Greg Jones relative to Ting Song China Ting Song's profile →
Citations per field
00.5×2×4×6×7.3×
Ting Song · 1×
Citations per year

Countries citing papers authored by Greg Jones

Since Specialization
Citations

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

Fields of papers citing papers by Greg Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Jones. 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 Greg Jones. The network helps show where Greg Jones may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006159
2 199685
3 200562
4 199956
5 200533
6 201833
7 200825
8 200420
9 200513
10 201510
11 20036
12 20174
13 20053
14 20073
15 20153
16 20203
17 20102
18 20031
19 20041
20 20061

About Greg Jones

Greg Jones is a scholar working on Geology, Statistical and Nonlinear Physics, Accounting, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 26 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (4 papers), Environmental Monitoring and Data Management (3 papers), Model Reduction and Neural Networks (3 papers), Advanced X-ray Imaging Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Public Policy and Administration Research (2 papers), Auditing, Earnings Management, Governance (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Biophysics (74 citations), Radiation (74 citations), Structural Biology (8 citations), Urology (22 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Greg Jones has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Christopher R. Johnson, Charles Keller, Mario R. Capecchi, Larry A. Sklar, Ross Whitaker, Joshua E. Cates, Lindsey Healy, John T. Johnson, Mark S. Hansen and Chiranjit Deka. Their work appears in journals such as Health Security, Computing and Visualization in Science, Cytometry, Drug Discovery Today 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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