Nicholas Hamm

4.3k citations
57 papers · 3.1k indexed · 2 hit papers · h-index 23

Nicholas Hamm

55 papers receiving 3.1k citations

Hit Papers

A machine learning method to estimate PM2.5 concentra...45520132026201720214008001.2k

Peers

Nicholas Hamm
Comparison fields: 5 of 153
  • Ecological Modeling 683
  • Environmental Engineering 703
  • Health, Toxicology and Mutagenesis 658
  • Nature and Landscape Conservation 483
  • Global and Planetary Change 782
Replace Nathaniel D. Herold with:
Nathaniel D. Herold United States
Patrick Danielson United States
Angela Lausch Germany
Martin Wegmann Germany
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J.A. Fry United States
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Jin Li China
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Nicholas Hamm relative to Nathaniel D. Herold United States Nathaniel D. Herold's profile →
Citations per field
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Citations per year

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

The 25 scholars most cited alongside Nicholas Hamm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicholas Hamm Line = papers co-authored together Nicholas Hamm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202423
3 20240
4 202412
5 20233
6 202113
7 2021143
8
5 things you need to know about 3D printing
20181
9 201815
10 201811
11
A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use informationbreakdown →
2018455
12
Pharmacists Tackle Hurricane Harvey
20171
13
Pharmacists Increase Vaccination Rates
20171
14 2017166
15 201742
16 201679
17 201624
18 201618
19 201670
20 2012128

About Nicholas Hamm

Nicholas Hamm is a scholar working on Environmental Engineering, Media Technology and Health, Toxicology and Mutagenesis, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Remote Sensing in Agriculture (7 papers), Land Use and Ecosystem Services (7 papers), Geochemistry and Geologic Mapping (7 papers), Soil Geostatistics and Mapping (5 papers), Air Quality Monitoring and Forecasting (5 papers), Remote-Sensing Image Classification (5 papers) and Urban Heat Island Mitigation (5 papers). The work is most often cited by research in Ecological Modeling (683 citations), Environmental Engineering (703 citations) and Health, Toxicology and Mutagenesis (658 citations). Nicholas Hamm has collaborated with scholars based in Netherlands, China and United Kingdom. Frequent co-authors include Babak Naimi, Andrew K. Skidmore, T.A. Groen, Albertus G. Toxopeus, Alfred Stein, Hongyan Ren, Yuming Guo, Jianping Guo, Gongbo Chen and Wei Cao. Their work appears in journals such as Remote Sensing, The Science of The Total Environment, International Journal of Applied Earth Observation and Geoinformation, Atmospheric Environment and International Journal of Remote Sensing.

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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