Nina Lam

6.9k total citations · 1 hit paper
110 papers, 4.9k citations indexed

About

Nina Lam is a scholar working on Global and Planetary Change, Sociology and Political Science and Atmospheric Science. According to data from OpenAlex, Nina Lam has authored 110 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Global and Planetary Change, 36 papers in Sociology and Political Science and 27 papers in Atmospheric Science. Recurrent topics in Nina Lam's work include Disaster Management and Resilience (32 papers), Flood Risk Assessment and Management (24 papers) and Land Use and Ecosystem Services (23 papers). Nina Lam is often cited by papers focused on Disaster Management and Resilience (32 papers), Flood Risk Assessment and Management (24 papers) and Land Use and Ecosystem Services (23 papers). Nina Lam collaborates with scholars based in United States, China and Brazil. Nina Lam's 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 and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Atmospheric Environment.

In The Last Decade

Nina Lam

107 papers receiving 4.6k citations

Hit Papers

Spatial Interpolation Methods: A Review 1983 2026 1997 2011 1983 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nina Lam United States 37 1.9k 1.2k 995 861 626 110 4.9k
Philippe De Maeyer Belgium 47 4.2k 2.2× 1.2k 1.0× 2.0k 2.0× 1.1k 1.2× 1.2k 1.9× 409 9.3k
Lin Liu China 39 1.4k 0.8× 946 0.8× 690 0.7× 737 0.9× 815 1.3× 239 5.5k
Jürgen P. Kropp Germany 39 2.2k 1.2× 657 0.5× 647 0.7× 668 0.8× 1.8k 2.8× 128 6.2k
Ashraf Dewan Australia 47 5.5k 2.8× 499 0.4× 1.8k 1.8× 1.3k 1.5× 2.1k 3.4× 159 8.0k
Xiao Huang United States 39 1.5k 0.8× 529 0.4× 622 0.6× 727 0.8× 692 1.1× 289 4.9k
Pascal Peduzzi Switzerland 27 2.9k 1.5× 986 0.8× 1.5k 1.5× 610 0.7× 474 0.8× 62 5.1k
John P. Wilson United States 36 1.8k 0.9× 376 0.3× 592 0.6× 1.1k 1.3× 1.6k 2.6× 153 6.2k
Zhenghong Tang United States 35 2.2k 1.1× 456 0.4× 675 0.7× 1.3k 1.6× 666 1.1× 173 4.3k
Lei Zou China 29 1.2k 0.6× 788 0.7× 477 0.5× 274 0.3× 341 0.5× 125 2.7k
Lei Wang China 39 2.6k 1.4× 210 0.2× 1.2k 1.2× 1.7k 2.0× 1.2k 2.0× 376 7.8k

Countries citing papers authored by Nina Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lam, Nina, Michelle A. Meyer, Margaret Reams, et al.. (2023). Improving social media use for disaster resilience: challenges and strategies. International Journal of Digital Earth. 16(1). 3023–3044. 21 indexed citations
2.
Reams, Margaret, et al.. (2023). The Use of Social Media by Emergency Stakeholder Groups: Lessons Learned from Areas Affected by Hurricanes Isaac and Sandy. Journal of Homeland Security and Emergency Management. 20(2). 133–168. 2 indexed citations
3.
Wang, Zheye, Nina Lam, Mingxuan Sun, et al.. (2022). A Machine Learning Approach for Detecting Rescue Requests from Social Media. ISPRS International Journal of Geo-Information. 11(11). 570–570. 4 indexed citations
4.
Shang, Jin, Mingxuan Sun, & Nina Lam. (2020). List-wise Fairness Criterion for Point Processes. Civil War Book Review. 1948–1958. 4 indexed citations
5.
Lam, Nina, Y. Jun Xu, Kam‐biu Liu, et al.. (2018). Understanding the Mississippi River Delta as a Coupled Natural-Human System: Research Methods, Challenges, and Prospects. Water. 10(8). 1054–1054. 23 indexed citations
6.
Xu, Y. Jun, Nina Lam, & Kam‐biu Liu. (2018). Assessing Resilience and Sustainability of the Mississippi River Delta as a Coupled Natural-Human System. Water. 10(10). 1317–1317. 11 indexed citations
7.
Liu, Kam‐biu, Thomas A. Bianchette, Lei Zou, Yi Qiang, & Nina Lam. (2017). Contribution of recent hurricanes to wetland sedimentation in coastal Louisiana. EGU General Assembly Conference Abstracts. 12001. 2 indexed citations
8.
Bianchette, Thomas A., et al.. (2016). Wetland accretion rates along coastal Louisiana: Spatial and temporal variability in light of Hurricane Isaac's impacts. 2016. 2 indexed citations
9.
Twilley, Robert R., Samuel J. Bentley, Qin Chen, et al.. (2016). Co-evolution of wetland landscapes, flooding, and human settlement in the Mississippi River Delta Plain. Sustainability Science. 11(4). 711–731. 115 indexed citations
10.
Liang, Wei, et al.. (2015). A Two-level Agent-Based Model for Hurricane Evacuation in New Orleans. Journal of Homeland Security and Emergency Management. 12(2). 407–435. 16 indexed citations
11.
Qiang, Yi & Nina Lam. (2015). Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata. Environmental Monitoring and Assessment. 187(3). 57–57. 93 indexed citations
12.
Lam, Nina, et al.. (2015). Measuring county resilience after the 2008 Wenchuan earthquake. 8 indexed citations
14.
Reams, Margaret, et al.. (2012). Measuring Capacity for Resilience among Coastal Counties of the U. S. Northern Gulf of Mexico Region. American Journal of Climate Change. 1(4). 194–204. 34 indexed citations
15.
Lam, Nina, et al.. (2012). Predictors of Business Return in New Orleans after Hurricane Katrina. PLoS ONE. 7(10). e47935–e47935. 43 indexed citations
16.
Shu, Yuqin, Nina Lam, & Margaret Reams. (2010). A new method for estimating carbon dioxide emissions from transportation at fine spatial scales. Environmental Research Letters. 5(4). 44008–44008. 25 indexed citations
17.
Lam, Nina, et al.. (2009). Business Return in New Orleans: Decision Making Amid Post-Katrina Uncertainty. PLoS ONE. 4(8). e6765–e6765. 67 indexed citations
18.
Emerson, Charles W., Dale A. Quattrochi, Nina Lam, & James E. Arnold. (2002). Spatial Metadata for Global Change Investigations Using Remote Sensing. 1 indexed citations
19.
Davis, Frank W., Dale A. Quattrochi, M. K. Ridd, Nina Lam, & Stephen J. Walsh. (1991). Environmental analysis using integrated GIS and remotely sensed data - Some research needs and priorities. Photogrammetric Engineering & Remote Sensing. 57(6). 689–697. 66 indexed citations
20.
Lam, Nina. (1990). Description and measurement of Landsat TM images using fractals. Photogrammetric Engineering & Remote Sensing. 56(2). 187–195. 96 indexed citations

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.

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