Nicholas Hamm

4.3k total citations · 2 hit papers
57 papers, 3.1k citations indexed

About

Nicholas Hamm is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, Nicholas Hamm has authored 57 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 15 papers in Global and Planetary Change and 11 papers in Ecology. Recurrent topics in Nicholas Hamm's work include Air Quality and Health Impacts (8 papers), Remote Sensing in Agriculture (7 papers) and Land Use and Ecosystem Services (7 papers). Nicholas Hamm is often cited by papers focused on Air Quality and Health Impacts (8 papers), Remote Sensing in Agriculture (7 papers) and Land Use and Ecosystem Services (7 papers). Nicholas Hamm collaborates with scholars based in Netherlands, China and United Kingdom. Nicholas Hamm's co-authors include Andrew K. Skidmore, Babak Naimi, T.A. Groen, Albertus G. Toxopeus, Alfred Stein, Luke D. Knibbs, Shanshan Li, Gongbo Chen, Wei Cao and Hongyan Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Nicholas Hamm

55 papers receiving 3.1k citations

Hit Papers

Where is positional uncertainty a problem for species dis... 2013 2026 2017 2021 2013 2018 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Hamm Netherlands 23 899 782 703 683 658 57 3.1k
Adam M. Wilson United States 29 1.2k 1.3× 1.1k 1.4× 320 0.5× 995 1.5× 213 0.3× 66 2.8k
Jin Li China 26 1.8k 1.9× 1.2k 1.5× 1.0k 1.5× 1.6k 2.4× 324 0.5× 97 5.5k
Markus Neteler Italy 33 1.8k 2.0× 1.2k 1.6× 990 1.4× 867 1.3× 134 0.2× 98 5.2k
Patrick Danielson United States 11 2.0k 2.3× 2.0k 2.6× 955 1.4× 427 0.6× 377 0.6× 16 4.3k
Trisalyn Nelson Canada 40 2.0k 2.2× 1.4k 1.8× 645 0.9× 438 0.6× 218 0.3× 194 5.0k
Nathaniel D. Herold United States 10 2.0k 2.2× 2.0k 2.5× 975 1.4× 406 0.6× 352 0.5× 14 4.4k
Bertram Ostendorf Australia 30 1.2k 1.3× 1.0k 1.3× 624 0.9× 334 0.5× 131 0.2× 144 3.1k
Martin Wegmann Germany 29 2.2k 2.4× 1.6k 2.0× 690 1.0× 1.1k 1.6× 223 0.3× 66 3.6k
Thomas Nauß Germany 30 1000 1.1× 1.5k 1.9× 798 1.1× 550 0.8× 121 0.2× 86 3.6k
Anthony R. Olsen United States 27 1.7k 1.9× 782 1.0× 413 0.6× 417 0.6× 489 0.7× 84 3.9k

Countries citing papers authored by Nicholas Hamm

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Hamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Hamm

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Hamm. A scholar is included among the top collaborators of Nicholas Hamm 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 Nicholas Hamm. Nicholas Hamm 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.
Hamm, Nicholas, Tao Lin, Jue Liu, et al.. (2025). Quantitative threshold effects identification of urban green exposure on multidimensional human health – A case study in Xiamen City, China. Urban forestry & urban greening. 107. 128808–128808. 2 indexed citations
2.
Lin, Tao, Nicholas Hamm, Jue Liu, et al.. (2024). Quantitative evaluation of urban green exposure and its impact on human health: A case study on the 3–30-300 green space rule. The Science of The Total Environment. 924. 171461–171461. 23 indexed citations
3.
4.
Zhang, Guoqin, et al.. (2023). Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments. International Journal of Environmental Research and Public Health. 20(6). 5050–5050. 3 indexed citations
5.
Huang, Yiyi, Tao Lin, Guoqin Zhang, et al.. (2022). Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China. ISPRS International Journal of Geo-Information. 11(4). 215–215. 5 indexed citations
6.
Dong, Jinwei, Nicholas Hamm, Zhichao Li, et al.. (2021). Integrating remote sensing and geospatial big data for urban land use mapping: A review. International Journal of Applied Earth Observation and Geoinformation. 103. 102514–102514. 143 indexed citations
7.
Fu, Ping, Nicholas Hamm, Zhichao Li, et al.. (2021). Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping. Remote Sensing. 13(8). 1579–1579. 13 indexed citations
8.
Hamm, Nicholas. (2019). California Bill Allows Pharmacists to Initiate HIV Medication Without Prescription. 1 indexed citations
9.
Hamm, Nicholas. (2019). How High Drug Prices Affect Patients.
10.
Tol, Christiaan van der, et al.. (2018). Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output. Geoscientific model development. 11(1). 83–101. 11 indexed citations
11.
Hamm, Nicholas. (2018). 5 things you need to know about 3D printing. 1 indexed citations
12.
Restrepo, Angela Cadavid, Yang Yu, Donald P. McManus, et al.. (2018). Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China. Parasites & Vectors. 11(1). 108–108. 15 indexed citations
13.
Chen, Gongbo, Shanshan Li, Luke D. Knibbs, et al.. (2018). A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information. The Science of The Total Environment. 636. 52–60. 455 indexed citations breakdown →
14.
Kumar, Navneet, et al.. (2018). Geospatial Mapping of Soil Organic Carbon Using Regression Kriging and Remote Sensing. Journal of the Indian Society of Remote Sensing. 46(5). 705–716. 27 indexed citations
15.
Hamm, Nicholas. (2017). Pharmacists Tackle Hurricane Harvey. 1 indexed citations
16.
Hamm, Nicholas. (2017). Pharmacists Increase Vaccination Rates. 1 indexed citations
17.
Hamm, Nicholas, et al.. (2016). Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements. Biogeosciences. 13(5). 1409–1422. 18 indexed citations
18.
Restrepo, Angela Cadavid, Yang Yu, Donald P. McManus, et al.. (2016). The landscape epidemiology of echinococcoses. Infectious Diseases of Poverty. 5(1). 13–13. 79 indexed citations
19.
Datta, Abhirup, Sudipto Banerjee, Andrew O. Finley, Nicholas Hamm, & Martijn Schaap. (2016). Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. The Annals of Applied Statistics. 10(3). 1286–1316. 70 indexed citations
20.
Hamm, Nicholas, Peter M. Atkinson, & E.J. Milton. (2012). A per-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing. Remote Sensing of Environment. 124. 666–678. 23 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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