Peter Somkuti

1.3k total citations
18 papers, 350 citations indexed

About

Peter Somkuti is a scholar working on Global and Planetary Change, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Somkuti has authored 18 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Somkuti's work include Atmospheric and Environmental Gas Dynamics (13 papers), Atmospheric Ozone and Climate (9 papers) and Atmospheric chemistry and aerosols (7 papers). Peter Somkuti is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (13 papers), Atmospheric Ozone and Climate (9 papers) and Atmospheric chemistry and aerosols (7 papers). Peter Somkuti collaborates with scholars based in United Kingdom, United States and Germany. Peter Somkuti's co-authors include Hartmut Boesch, Liang Feng, Hartmut Bösch, Paul I. Palmer, Frédéric Chevallier, D. F. Baker, Robert J. Parker, Wolfgang Buermann, Emanuel Gloor and Michael Buchwitz and has published in prestigious journals such as Physical Review Letters, Nature Communications and Remote Sensing of Environment.

In The Last Decade

Peter Somkuti

15 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Somkuti United Kingdom 11 265 183 42 30 23 18 350
Bao 10 122 0.5× 105 0.6× 39 0.9× 26 0.9× 19 0.8× 67 312
La Ode Ngkoimani Indonesia 6 171 0.6× 176 1.0× 40 1.0× 9 0.3× 15 0.7× 37 334
K. Ravi Kumar India 14 397 1.5× 335 1.8× 49 1.2× 16 0.5× 32 1.4× 21 469
Pengfei Liang China 9 96 0.4× 78 0.4× 40 1.0× 8 0.3× 21 0.9× 23 309
Gengchen Wang China 14 294 1.1× 328 1.8× 55 1.3× 13 0.4× 61 2.7× 55 564
R. Martin United States 6 230 0.9× 187 1.0× 48 1.1× 60 2.0× 20 0.9× 11 359
Dipayan Paul Netherlands 11 77 0.3× 180 1.0× 45 1.1× 18 0.6× 29 1.3× 21 320
Egor Dyukarev Russia 12 140 0.5× 195 1.1× 233 5.5× 20 0.7× 35 1.5× 46 367

Countries citing papers authored by Peter Somkuti

Since Specialization
Citations

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

Fields of papers citing papers by Peter Somkuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Somkuti

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Somkuti. A scholar is included among the top collaborators of Peter Somkuti 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 Somkuti. Peter Somkuti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Marchetti, Chiara, Jonathan Hobbs, Peter Somkuti, & Joshua L. Laughner. (2025). A Study on Inferring Daytime Variations of XCO2 ${\text{XCO}}_{2}$ From Current and Future Space‐Based Missions. Earth and Space Science. 12(8).
2.
McGarragh, Gregory, C. O’Dell, Sean Crowell, et al.. (2024). The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty. Atmospheric measurement techniques. 17(3). 1091–1121.
3.
Somkuti, Peter, C. O’Dell, Sean Crowell, et al.. (2021). Solar-induced chlorophyll fluorescence from the Geostationary Carbon Cycle Observatory (GeoCarb): An extensive simulation study. Remote Sensing of Environment. 263. 112565–112565. 10 indexed citations
4.
Somkuti, Peter, Hartmut Bösch, & Robert J. Parker. (2020). The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals. Atmosphere. 11(11). 1219–1219. 1 indexed citations
5.
Boesch, Hartmut, Dongxu Yang, Yi Liu, & Peter Somkuti. (2020). Toward high precision XCO2 retrievals from TanSat observations. 3 indexed citations
6.
Palmer, Paul I., Liang Feng, D. F. Baker, et al.. (2019). Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal. Nature Communications. 10(1). 3344–3344. 80 indexed citations
7.
Somkuti, Peter, Hartmut Bösch, Liang Feng, et al.. (2019). A new space-borne perspective of crop productivity variations over the US Corn Belt. Agricultural and Forest Meteorology. 281. 107826–107826. 19 indexed citations
8.
Baker, Jessica C. A., Emanuel Gloor, Dominick V. Spracklen, et al.. (2019). Seasonal and Inter-annual Variation of Evapotranspiration in Amazonia Based on Precipitation, River Discharge and Gravity Anomaly Data. Frontiers in Earth Science. 7. 43 indexed citations
9.
Buchwitz, Michael, Maximilian Reuter, Oliver Schneising, et al.. (2018). Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016. Atmospheric chemistry and physics. 18(23). 17355–17370. 32 indexed citations
10.
Gloor, Emanuel, Chris Wilson, Martyn P. Chipperfield, et al.. (2018). Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1760). 20170302–20170302. 31 indexed citations
11.
Trent, Tim, Hartmut Boesch, Peter Somkuti, & N. A. Scott. (2018). Observing Water Vapour in the Planetary Boundary Layer from the Short-Wave Infrared. Remote Sensing. 10(9). 1469–1469. 12 indexed citations
12.
Buchwitz, Michael, Oliver Schneising, Maximilian Reuter, et al.. (2017). Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmospheric chemistry and physics. 17(9). 5751–5774. 63 indexed citations
13.
Kopparla, Pushkar, Vijay Natraj, Robert Spurr, et al.. (2017). PCA-based radiative transfer: Improvements to aerosol scheme, vertical layering and spectral binning. Journal of Quantitative Spectroscopy and Radiative Transfer. 198. 104–111. 11 indexed citations
14.
Somkuti, Peter, Hartmut Boesch, Vijay Natraj, & Pushkar Kopparla. (2017). Application of a PCA‐Based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared. Journal of Geophysical Research Atmospheres. 122(19). 16 indexed citations
15.
Somkuti, Peter, Hartmut Boesch, & Robert J. Parker. (2015). Remote sensing of chlorophyll fluorescence with GOSAT. EGUGA. 9582. 1 indexed citations
16.
Somkuti, Peter, Davide Bianchi, Ulrike Cihak-Bayr, et al.. (2014). Characterisation of orange peel on highly polished steel surfaces. Surface Engineering. 31(7). 519–525. 21 indexed citations
17.
Somkuti, Peter, et al.. (2013). Detection and classification of orange peel on polished steel surfaces by interferometric microscopy. Journal of Physics Conference Series. 450. 12009–12009. 2 indexed citations
18.
Ipp, Andreas & Peter Somkuti. (2012). Yoctosecond Metrology Through Hanbury Brown–Twiss Correlations from a Quark-Gluon Plasma. Physical Review Letters. 109(19). 192301–192301. 5 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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