Howell Tong

2.2k citations
3 papers · 1.5k indexed · 1 hit paper · h-index 3
Co-authors
Kung‐Sik Chan
Topics
Monetary Policy and Economic Impact (1 paper)Economic theories and models (1 paper)Economic Policies and Impacts (1 paper)
Journals
Journal of Statistical Planning and InferenceLondon School of Economics and Political Science Research Online (London School of Economics and Political Science)Population

In The Last Decade

Howell Tong

3 papers receiving 1.3k citations

Hit Papers

Non-linear time series. A dynamical system approach199020262002201419904008001.2k

Peers

Howell Tong
Comparison fields: 5 of 105
  • Economics and Econometrics 656
  • Finance 573
  • General Economics, Econometrics and Finance 394
  • Statistics and Probability 358
  • Artificial Intelligence 231
Replace D. S. Poskitt with:
D. S. Poskitt Australia
H. Tong United Kingdom
K. S. Lim Singapore
H. L. Gray United States
Chris Carter Australia
Alexander Aue United States
Craig F. Ansley United States
Liudas Giraitis United Kingdom
Marie Hušková Czechia
Yi‐Ching Yao United States
Howell Tong relative to D. S. Poskitt Australia D. S. Poskitt's profile →
Citations per field
00.5×1.5×1.9×
D. S. Poskitt · 1×
Citations per year

Countries citing papers authored by Howell Tong

Since Specialization
Citations

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

Fields of papers citing papers by Howell Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howell Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Howell Tong. A scholar is included among the top collaborators of Howell 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 Howell Tong. Howell Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 11
2 192
3
Non-linear time series. A dynamical system approachbreakdown →
1321

About Howell Tong

Howell Tong is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Infectious Diseases, having authored 3 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (1 paper), Economic theories and models (1 paper) and Economic Policies and Impacts (1 paper). The work is most often cited by research in Finance (573 citations), General Economics, Econometrics and Finance (394 citations) and Statistics and Probability (358 citations). Howell Tong has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Kung‐Sik Chan. Their work appears in journals such as Journal of Statistical Planning and Inference, London School of Economics and Political Science Research Online (London School of Economics and Political Science) and Population.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026