Kung‐Sik Chan
- Global and Planetary Change top 1%
- Economics and Econometrics top 0.5%
- Ecology top 1%
- Finance top 0.5%
- General Economics, Econometrics and Finance top 0.5%
- Co-authors
- Nils Chr. StensethH. TongLorenzo CiannelliHowell TongGeir OttersenJohannes LedolterAtle MysterudJames W. Hurrell
- Topics
- Statistical Methods and Inference (27 papers)Marine and fisheries research (17 papers)Financial Risk and Volatility Modeling (13 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Kung‐Sik Chan
108 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Global and Planetary Change 1.4k
- Economics and Econometrics 1.4k
- Ecology 1.2k
- Finance 1.1k
- General Economics, Econometrics and Finance 970
Countries citing papers authored by Kung‐Sik Chan
This map shows the geographic impact of Kung‐Sik Chan'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 Kung‐Sik Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kung‐Sik Chan more than expected).
Fields of papers citing papers by Kung‐Sik Chan
This network shows the impact of papers produced by Kung‐Sik Chan. 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 Kung‐Sik Chan. The network helps show where Kung‐Sik Chan may publish in the future.
Co-authorship network of co-authors of Kung‐Sik Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Kung‐Sik Chan. A scholar is included among the top collaborators of Kung‐Sik Chan 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 Kung‐Sik Chan. Kung‐Sik Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 43 | |
| 6 | 4 | |
| 7 | 88 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 69 | |
| 11 | 13 | |
| 12 | 40 | |
| 13 | 81 | |
| 14 | 56 | |
| 15 | A note on the equivalence of two approaches for specifying a Markov process | 5 |
| 16 | 18 | |
| 17 | 4 | |
| 18 | A personal overview of non-linear time series analysis from a chaos perspective. Commentary | 30 |
| 19 | SAFETY IMPACT OF THE INCREASED 65 MPH SPEED LIMIT ON IOWA RURAL INTERSTATES | 4 |
| 20 | Forming limit diagrams : concepts, methods, and applications : a reference book on the available experimental and analytical methods for determination of forming limit diagrams | 6 |
About Kung‐Sik Chan
Kung‐Sik Chan is a scholar working on Statistics and Probability, Finance and Nature and Landscape Conservation, having authored 111 papers that have together received 5.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (27 papers), Marine and fisheries research (17 papers) and Financial Risk and Volatility Modeling (13 papers). The work is most often cited by research in General Economics, Econometrics and Finance (970 citations), Finance (1.1k citations) and Statistics and Probability (820 citations). Kung‐Sik Chan has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Nils Chr. Stenseth, H. Tong, Lorenzo Ciannelli, Howell Tong, Geir Ottersen, Johannes Ledolter, Atle Mysterud, James W. Hurrell, Nigel G. Yoccoz and Maurício Lima. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.