Nina Lam
- Global and Planetary Change top 1%
- Sociology and Political Science top 1%
- Atmospheric Science top 2%
- Ecology top 2%
- Environmental Engineering top 1%
- Co-authors
- Yi QiangDale A. QuattrochiLei ZouKam‐biu LiuHeng CaiM. F. GoodchildSoe W. MyintVolodymyr Mihunov
- Topics
- Disaster Management and Resilience (32 papers)Flood Risk Assessment and Management (24 papers)Land Use and Ecosystem Services (23 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Nina Lam
107 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Global and Planetary Change 1.9k
- Sociology and Political Science 1.2k
- Atmospheric Science 995
- Ecology 861
- Environmental Engineering 626
Countries citing papers authored by Nina Lam
This map shows the geographic impact of Nina Lam'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 Nina Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Lam more than expected).
Fields of papers citing papers by Nina Lam
This network shows the impact of papers produced by Nina Lam. 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 Nina Lam. The network helps show where Nina Lam may publish in the future.
Co-authorship network of co-authors of Nina Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Lam. A scholar is included among the top collaborators of Nina Lam 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 Nina Lam. Nina Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 11 | |
| 7 | Contribution of recent hurricanes to wetland sedimentation in coastal Louisiana | 2 |
| 8 | Wetland accretion rates along coastal Louisiana: Spatial and temporal variability in light of Hurricane Isaac's impacts | 2 |
| 9 | 115 | |
| 10 | 16 | |
| 11 | 93 | |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 34 | |
| 15 | 43 | |
| 16 | 25 | |
| 17 | 67 | |
| 18 | Spatial Metadata for Global Change Investigations Using Remote Sensing | 1 |
| 19 | Environmental analysis using integrated GIS and remotely sensed data - Some research needs and priorities | 66 |
| 20 | Description and measurement of Landsat TM images using fractals | 96 |
About Nina Lam
Nina Lam is a scholar working on Global and Planetary Change, Earth-Surface Processes and Communication, having authored 110 papers that have together received 4.9k indexed citations. Recurring topics across this work include Disaster Management and Resilience (32 papers), Flood Risk Assessment and Management (24 papers) and Land Use and Ecosystem Services (23 papers). The work is most often cited by research in Global and Planetary Change (1.9k citations), Atmospheric Science (995 citations) and Transportation (368 citations). Nina Lam has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Yi Qiang, Dale A. Quattrochi, Lei Zou, Kam‐biu Liu, Heng Cai, M. F. Goodchild, Soe W. Myint, Volodymyr Mihunov, Margaret Reams and Kenan Li. Their work appears in journals such as PLoS ONE, Remote Sensing of Environment and Atmospheric Environment.
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.