Peter North

8.3k total citations · 3 hit papers
96 papers, 5.0k citations indexed

About

Peter North is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Peter North has authored 96 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Global and Planetary Change, 56 papers in Ecology and 40 papers in Environmental Engineering. Recurrent topics in Peter North's work include Remote Sensing in Agriculture (56 papers), Remote Sensing and LiDAR Applications (32 papers) and Atmospheric aerosols and clouds (28 papers). Peter North is often cited by papers focused on Remote Sensing in Agriculture (56 papers), Remote Sensing and LiDAR Applications (32 papers) and Atmospheric aerosols and clouds (28 papers). Peter North collaborates with scholars based in United Kingdom, United States and Germany. Peter North's co-authors include S. O. Los, J. Rosette, Craig V. M. Barton, P. B. Alton, W. Grey, P. Lewis, Juan Carlos Pinilla Suárez, Stephen Plummer, Pablo J. Zarco‐Tejada and A. Hornero and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Peter North

91 papers receiving 4.8k citations

Hit Papers

Quantifying Vegetation Biophysical Variables from Imaging... 2014 2026 2018 2022 2018 2014 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter North United Kingdom 38 3.0k 3.0k 1.9k 1.2k 1.2k 96 5.0k
Stephen Plummer United Kingdom 33 3.1k 1.0× 2.7k 0.9× 1.9k 1.0× 1.1k 0.9× 1.1k 0.9× 60 5.0k
Troy S. Magney United States 40 3.3k 1.1× 3.5k 1.2× 1.3k 0.7× 834 0.7× 1.3k 1.1× 106 5.2k
Michele Meroni Italy 43 4.3k 1.4× 3.6k 1.2× 1.4k 0.7× 904 0.7× 1.7k 1.4× 113 6.0k
Micol Rossini Italy 40 3.8k 1.2× 3.3k 1.1× 1.0k 0.5× 1.0k 0.9× 1.6k 1.4× 119 5.5k
Jean‐Philippe Gastellu‐Etchegorry France 43 4.4k 1.5× 3.1k 1.0× 3.9k 2.0× 1.0k 0.8× 1.3k 1.1× 218 6.6k
Roberto Colombo Italy 47 4.2k 1.4× 3.9k 1.3× 1.6k 0.9× 1.5k 1.2× 1.7k 1.4× 150 6.9k
Nadine Gobron Italy 47 3.9k 1.3× 4.1k 1.4× 2.3k 1.2× 1.4k 1.2× 808 0.7× 133 6.0k
Zbyněk Malenovský Australia 30 3.3k 1.1× 1.9k 0.6× 2.0k 1.0× 478 0.4× 1.2k 1.0× 89 4.7k
Frank Veroustraete Belgium 28 2.0k 0.7× 2.0k 0.7× 1.3k 0.7× 718 0.6× 765 0.6× 68 3.5k
Christiaan van der Tol Netherlands 44 5.1k 1.7× 5.5k 1.9× 1.8k 0.9× 946 0.8× 2.1k 1.7× 152 7.6k

Countries citing papers authored by Peter North

Since Specialization
Citations

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

Fields of papers citing papers by Peter North

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter North

This figure shows the co-authorship network connecting the top 25 collaborators of Peter North. A scholar is included among the top collaborators of Peter North 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 Peter North. Peter North 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.
Sogacheva, Larisa, et al.. (2022). Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3. Atmospheric measurement techniques. 15(18). 5289–5322.
2.
Kinne, Stefan, Peter North, K. J. Pearson, & Thomas Popp. (2021). Aerosol radiative effects with dual view AOD retrievals. 2 indexed citations
3.
Sogacheva, Larisa, Thomas Popp, A. M. Sayer, et al.. (2020). Merging regional and global aerosol optical depth records from major available satellite products. Atmospheric chemistry and physics. 20(4). 2031–2056. 98 indexed citations
4.
Sogacheva, Larisa, Thomas Popp, A. M. Sayer, et al.. (2019). Merging regional and global AOD records from 15 available satellite products. Cronfa (Swansea University). 6 indexed citations
5.
Verrelst, Jochem, Zbyněk Malenovský, Christiaan van der Tol, et al.. (2018). Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods. Surveys in Geophysics. 40(3). 589–629. 365 indexed citations breakdown →
6.
Che, Yahui, Linlu Mei, Yong Xue, et al.. (2018). Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation. Remote Sensing. 10(9). 1414–1414. 5 indexed citations
7.
Brühl, Christoph, Klaus Klingmüller, Charles Robert, et al.. (2018). Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data. Atmospheric chemistry and physics. 18(17). 12845–12857. 21 indexed citations
8.
Heckel, A., et al.. (2017). Application of AATSR aerosol retrieval to new data from SLSTR onboard Sentinel-3 satellite. EGUGA. 16568. 1 indexed citations
9.
North, Peter, et al.. (2017). Particulate emissions from large North American wildfires estimated using a new top-down method. Atmospheric chemistry and physics. 17(10). 6423–6438. 22 indexed citations
11.
North, Peter, et al.. (2015). Smoke aerosol properties and ageing effects for northern temperate and boreal regions derived from AERONET source and age attribution. Atmospheric chemistry and physics. 15(14). 7929–7943. 23 indexed citations
12.
Davies, Will & Peter North. (2015). Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data. Atmospheric measurement techniques. 8(4). 1719–1731. 7 indexed citations
13.
Bevan, Suzanne, S. O. Los, & Peter North. (2014). Response of vegetation to the 2003 European drought was mitigated by height. Biogeosciences. 11(11). 2897–2908. 18 indexed citations
14.
Mahoney, Craig, Natascha Kljun, S. O. Los, et al.. (2014). Slope Estimation from ICESat/GLAS. Remote Sensing. 6(10). 10051–10069. 26 indexed citations
15.
Los, S. O., J. Rosette, Natascha Kljun, et al.. (2012). Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data. Geoscientific model development. 5(2). 413–432. 88 indexed citations
16.
Bevan, Suzanne, Peter North, S. O. Los, & W. Grey. (2011). A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR. Remote Sensing of Environment. 116. 199–210. 49 indexed citations
17.
Rosette, J., et al.. (2010). Modelling Sensor and Target effects on LiDAR Waveforms. AGUFM. 2010. 1 indexed citations
18.
Cook, Bruce D., et al.. (2010). Effect of Ground Surface Reflectance on LiDAR Waveforms, Height Metrics and Biomass Estimation. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
19.
Gómez‐Chova, Luis, Jordi Muñoz-Marı́, Emma Izquierdo‐Verdiguier, et al.. (2010). Synergistic Use of MERIS and AATSR Data for Cloud Screening. 686. 154. 1 indexed citations
20.
North, Peter. (2008). MERIS/AATSR synergy algorithms for cloud screening, aerosol retrieval and atmospheric correction. Cronfa (Swansea University). 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026