John T. Edwards

32 papers receiving 710 citations

Peers

John T. Edwards
Comparison fields: 5 of 100
  • Modeling and Simulation 188
  • Numerical Analysis 115
  • Oncology 350
  • Gastroenterology 49
  • Pathology and Forensic Medicine 116
Replace Giuseppe Izzo with:
Giuseppe Izzo Italy
Aimin Zhao China
Juan Campos Spain
Christopher Henderson United States
Hailing Wang China
Maurizio Gentile Italy
Robert Spira United States
Xuezhi Zhao China
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Philip Walker Australia
John T. Edwards relative to Giuseppe Izzo Italy Giuseppe Izzo's profile →
Citations per field
00.5×10×16.6×
Giuseppe Izzo · 1×
Citations per year

Countries citing papers authored by John T. Edwards

Since Specialization
Citations

This map shows the geographic impact of John T. Edwards'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 T. Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Edwards more than expected).

Fields of papers citing papers by John T. Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002158
2 200176
3 200169
4 200669
5 200462
6 200460
7 200548
8 200046
9 200635
10 200015
11 201815
12 202014
13
A COMPARISON OF ADOMIAN'S DECOMPOSITION METHOD AND RUNGE KUTTA METHODS FOR APPROXIMATE SOLUTION OF SOME PREDATOR PREY MODEL EQUATIONS
199712
14 20049
15 20027
16 20046
17 20055
18 20035
19 20185
20 20195

About John T. Edwards

John T. Edwards is a scholar working on Oncology, Numerical Analysis, Surgery, Ecology and Epidemiology, having authored 36 papers that have together received 746 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (11 papers), Numerical methods for differential equations (6 papers), Rangeland and Wildlife Management (6 papers), Differential Equations and Numerical Methods (5 papers), Inflammatory Bowel Disease (5 papers), Fractional Differential Equations Solutions (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Wildlife Ecology and Conservation (4 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Numerical Analysis (115 citations), Oncology (350 citations), Gastroenterology (49 citations) and Pathology and Forensic Medicine (116 citations). John T. Edwards has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Neville J. Ford, Richard Mendelson, Geoffrey M Forbes, Noellene M. Foster, Christopher J. Wood, Lin Fritschi, Graham Radford‐Smith, Timothy H. Florin, M Rosenberg and Graeme A. Macdonald. Their work appears in journals such as The American Journal of Gastroenterology, Journal of Gastroenterology and Hepatology, Journal of Computational and Applied Mathematics, The Medical Journal of Australia and Australian and New Zealand Journal of Public Health.

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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