Nick Clinton

6 papers receiving 790 citations

Nick Clinton's Hit Papers

Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery 2006 · 648 citations
6480+6+13Years since publication200400600

Peers

Nick Clinton
Comparison fields: 5 of 70
  • Media Technology 309
  • Environmental Engineering 363
  • Ecology 501
  • Ecological Modeling 64
  • Global and Planetary Change 281
Replace Tim Whiteside with:
Tim Whiteside Australia
Julia Linke Canada
Jan Stuckens Belgium
Tatjana Koukal Austria
Kotaro Iizuka Japan
Mathias Schardt Austria
Yuanhui Zhu China
Maria Tsakiri–Strati Greece
Kerry Halligan United States
Nick Clinton relative to Tim Whiteside Australia Tim Whiteside's profile →
Citations per field
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Tim Whiteside · 1×
Citations per year

Countries citing papers authored by Nick Clinton

Since Specialization
Citations

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

Fields of papers citing papers by Nick Clinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nick Clinton, 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 Nick Clinton Line = papers co-authored together Nick Clinton links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
Hit paper breakdown →
2006648
2 201191
3 201447
4 200942
5 202412
6
Regional Land Cover Monitoring System
20162
7 20141
8 20221

About Nick Clinton

Nick Clinton is a scholar working on Environmental Engineering, Atmospheric Science, Ecology, Health, Toxicology and Mutagenesis and Insect Science, having authored 8 papers that have together received 844 indexed citations. Recurring topics across this work include Forest Ecology and Biodiversity Studies (2 papers), Remote Sensing in Agriculture (2 papers), Remote Sensing and LiDAR Applications (2 papers), Air Quality and Health Impacts (2 papers), Air Quality Monitoring and Forecasting (2 papers), Vehicle emissions and performance (1 paper), Species Distribution and Climate Change (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Media Technology (309 citations), Environmental Engineering (363 citations), Ecology (501 citations), Ecological Modeling (64 citations) and Global and Planetary Change (281 citations). Nick Clinton has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Peng Gong, Qian Yu, Greg S. Biging, Maggi Kelly, Huabing Huang, Chunxiang Cao, Wenjian Ni, Zhan Li, Lei Wang and Zengyuan Li. Their work appears in journals such as Photogrammetric Engineering & Remote Sensing, Environmental Modelling & Software, The Science of The Total Environment, Sensors and National Remote Sensing Bulletin.

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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