K.-M. Lau
- Global and Planetary Change top 0.1%
- Atmospheric Science top 0.1%
- Oceanography top 0.5%
- Ecology top 5%
- Environmental Engineering top 5%
- Co-authors
- Hengyi WengJiayu ZhouBin WangRenguang WuMaeng‐Ki KimSong YangSandrine BonyCompton J. Tucker
- Topics
- Climate variability and models (45 papers)Meteorological Phenomena and Simulations (29 papers)Oceanographic and Atmospheric Processes (15 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
K.-M. Lau
55 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Global and Planetary Change 6.8k
- Atmospheric Science 6.5k
- Oceanography 2.0k
- Ecology 383
- Environmental Engineering 303
Countries citing papers authored by K.-M. Lau
This map shows the geographic impact of K.-M. Lau'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 K.-M. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.-M. Lau more than expected).
Fields of papers citing papers by K.-M. Lau
This network shows the impact of papers produced by K.-M. Lau. 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 K.-M. Lau. The network helps show where K.-M. Lau may publish in the future.
Co-authorship network of co-authors of K.-M. Lau
This figure shows the co-authorship network connecting the top 25 collaborators of K.-M. Lau. A scholar is included among the top collaborators of K.-M. Lau 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 K.-M. Lau. K.-M. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 228 | |
| 3 | 8 | |
| 4 | 136 | |
| 5 | 22 | |
| 6 | 115 | |
| 7 | 136 | |
| 8 | 29 | |
| 9 | 60 | |
| 10 | The Effect of Regional Climate Variability on Outbreak of Bartonellosis Epidemics in Peru | 1 |
| 11 | 17 | |
| 12 | Wintertime East Asian Jet Stream and Its Association with the Asian-Pacific Climate | 3 |
| 13 | 97 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | Does a Monsoon Climate Exist over South America?breakdown → | 693 |
| 17 | Anomalous atmospheric hydrologic processes associated with ENSO | 1 |
| 18 | 54 | |
| 19 | 3 | |
| 20 | 101 |
About K.-M. Lau
K.-M. Lau is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 55 papers that have together received 8.0k indexed citations. Recurring topics across this work include Climate variability and models (45 papers), Meteorological Phenomena and Simulations (29 papers) and Oceanographic and Atmospheric Processes (15 papers). The work is most often cited by research in Atmospheric Science (6.5k citations), Global and Planetary Change (6.8k citations) and Oceanography (2.0k citations). K.-M. Lau has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Hengyi Weng, Jiayu Zhou, Bin Wang, Renguang Wu, Maeng‐Ki Kim, Song Yang, Sandrine Bony, Song Yang, Compton J. Tucker and Ning Zeng. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Climate.
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.