Edward Tong
- Infectious Diseases
- Finance top 5%
- Accounting top 10%
- Economics and Econometrics top 10%
- Surgery
- Co-authors
- Christophe MuesLyn C. ThomasMichael WhitbyNicholas GravesDiana WeinholdDavid R. LairsonFrances BirrellKate Halton
- Topics
- Statistical Methods and Inference (3 papers)Credit Risk and Financial Regulations (3 papers)Healthcare Policy and Management (3 papers)
- Journals
- European Journal of Operational ResearchHuman ReproductionUltrasound in Obstetrics and Gynecology
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Edward Tong
16 papers receiving 467 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 113
- Finance 99
- Accounting 97
- Economics and Econometrics 82
- Surgery 63
Countries citing papers authored by Edward Tong
This map shows the geographic impact of Edward Tong'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 Edward Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Tong more than expected).
Fields of papers citing papers by Edward Tong
This network shows the impact of papers produced by Edward Tong. 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 Edward Tong. The network helps show where Edward Tong may publish in the future.
Co-authorship network of co-authors of Edward Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Edward Tong. A scholar is included among the top collaborators of Edward Tong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward Tong. Edward Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 16 | |
| 3 | 53 | |
| 4 | A zero-adjusted gamma model for estimating loss given default on residential mortgage loans | 3 |
| 5 | 101 | |
| 6 | 34 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 67 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | The Effect of Healthcare-Acquired Infection on Length of Hospital Stay and Cost | 4 |
| 13 | 134 | |
| 14 | 1 | |
| 15 | 25 | |
| 16 | 5 |
About Edward Tong
Edward Tong is a scholar working on Medical Laboratory Technology, General Dentistry and Applied Microbiology and Biotechnology, having authored 16 papers that have together received 490 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Credit Risk and Financial Regulations (3 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (42 citations), Finance (99 citations) and Critical Care and Intensive Care Medicine (49 citations). Edward Tong has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Christophe Mues, Lyn C. Thomas, Michael Whitby, Nicholas Graves, Diana Weinhold, David R. Lairson, Frances Birrell, Kate Halton, Karen Slater and B. Julienne Johnson. Their work appears in journals such as European Journal of Operational Research, Human Reproduction and Ultrasound in Obstetrics and Gynecology.
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.