James Hocking

976 total citations · 1 hit paper
17 papers, 580 citations indexed

About

James Hocking is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, James Hocking has authored 17 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 2 papers in Oceanography. Recurrent topics in James Hocking's work include Atmospheric aerosols and clouds (12 papers), Meteorological Phenomena and Simulations (11 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). James Hocking is often cited by papers focused on Atmospheric aerosols and clouds (12 papers), Meteorological Phenomena and Simulations (11 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). James Hocking collaborates with scholars based in United Kingdom, France and Germany. James Hocking's co-authors include Roger Saunders, Jérôme Vidot, Pascal Brunel, Alan Geer, Cristina Lupu, Peter Joseph Rayer, Niels Bormann, Marco Matricardi, Emma Turner and Peter N. Francis and has published in prestigious journals such as Atmospheric chemistry and physics, Remote Sensing and Geoscientific model development.

In The Last Decade

James Hocking

17 papers receiving 571 citations

Hit Papers

An update on the RTTOV fast radiative transfer model (cur... 2018 2026 2020 2023 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
James Hocking United Kingdom 10 500 454 61 49 49 17 580
Cristina Lupu United Kingdom 8 580 1.2× 509 1.1× 58 1.0× 67 1.4× 47 1.0× 12 642
Elisabeth Weisz United States 17 709 1.4× 670 1.5× 98 1.6× 50 1.0× 127 2.6× 50 813
Peter Joseph Rayer United Kingdom 7 607 1.2× 536 1.2× 55 0.9× 57 1.2× 56 1.1× 12 661
Caroline Poulsen United Kingdom 17 742 1.5× 743 1.6× 87 1.4× 60 1.2× 45 0.9× 37 873
Vincent Guidard France 14 560 1.1× 500 1.1× 50 0.8× 28 0.6× 16 0.3× 39 595
Thomas J. Kleespies United States 10 494 1.0× 375 0.8× 99 1.6× 55 1.1× 63 1.3× 17 557
Chunqiang Wu China 7 286 0.6× 264 0.6× 27 0.4× 31 0.6× 49 1.0× 20 336
Andriy Holdak France 4 638 1.3× 646 1.4× 71 1.2× 23 0.5× 56 1.1× 4 717
Guangliang Fu Netherlands 12 343 0.7× 377 0.8× 33 0.5× 36 0.7× 42 0.9× 31 423
Kotaro Bessho Japan 11 458 0.9× 369 0.8× 49 0.8× 95 1.9× 48 1.0× 18 530

Countries citing papers authored by James Hocking

Since Specialization
Citations

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

Fields of papers citing papers by James Hocking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hocking

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

All Works

17 of 17 papers shown
1.
Chambon, Philippe, et al.. (2025). Assessment and application of melting-layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model. Atmospheric measurement techniques. 18(12). 2751–2779. 1 indexed citations
2.
Kilic, Lise, Catherine Prigent, Carlos Jiménez, et al.. (2023). Development of the SURface Fast Emissivity Model for Ocean (SURFEM‐Ocean) Based on the PARMIO Radiative Transfer Model. Earth and Space Science. 10(11). 12 indexed citations
3.
Hocking, James, et al.. (2021). A new gas absorption optical depth parameterisation for RTTOV version 13. Geoscientific model development. 14(5). 2899–2915. 15 indexed citations
4.
Geer, Alan, Péter Bauer, Katrin Lonitz, et al.. (2021). Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0. Geoscientific model development. 14(12). 7497–7526. 30 indexed citations
5.
Geer, Alan, Péter Bauer, Katrin Lonitz, et al.. (2021). Bulk hydrometeor optical properties for microwave and sub-mm radiative transfer in RTTOV-SCATT v13.0. 5 indexed citations
6.
Carminati, Fabien, et al.. (2019). Assessment of the Hyperspectral Infrared Atmospheric Sounder (HIRAS). Remote Sensing. 11(24). 2950–2950. 17 indexed citations
7.
Carminati, Fabien, Stefano Migliorini, Bruce Ingleby, et al.. (2019). Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation. Atmospheric measurement techniques. 12(1). 83–106. 20 indexed citations
8.
Saunders, Roger, James Hocking, Emma Turner, et al.. (2018). An update on the RTTOV fast radiative transfer model (currently at version 12). Geoscientific model development. 11(7). 2717–2737. 374 indexed citations breakdown →
9.
Marenco, Franco, John H. Marsham, Luis Garcia‐Carreras, et al.. (2017). Clouds over the summertime Sahara: an evaluation of Met Office retrievals from Meteosat Second Generation using airborne remote sensing. Atmospheric chemistry and physics. 17(9). 5789–5807. 6 indexed citations
10.
Angelis, Francesco De, Domenico Cimini, Ulrich Löhnert, et al.. (2017). Long term Observations minus Background monitoring of ground-based microwave radiometer network. Part 1: Brightness Temperatures. 3 indexed citations
11.
Angelis, Francesco De, Domenico Cimini, Ulrich Löhnert, et al.. (2017). Long-term observations minus background monitoring of ground-based brightness temperatures from a microwave radiometer network. Atmospheric measurement techniques. 10(10). 3947–3961. 21 indexed citations
12.
Vidot, Jérôme, Pascal Brunel, Marie Dumont, Carlo Maria Carmagnola, & James Hocking. (2017). The VIS/NIR Land and Snow BRDF Atlas for RTTOV: Comparison between MODIS MCD43C1 C5 and C6. Remote Sensing. 10(1). 21–21. 12 indexed citations
13.
Angelis, Francesco De, Domenico Cimini, James Hocking, Pauline Martinet, & Stefan Kneifel. (2016). RTTOV-gb – Adapting the fast radiative transfer model RTTOV for the assimilation of ground-based microwave radiometer observations. 1 indexed citations
14.
Angelis, Francesco De, Domenico Cimini, James Hocking, Pauline Martinet, & Stefan Kneifel. (2016). RTTOV-gb – adapting the fast radiative transfer model RTTOV for theassimilation of ground-based microwave radiometer observations. Geoscientific model development. 9(8). 2721–2739. 21 indexed citations
15.
Marenco, Franco, John H. Marsham, Luis Garcia‐Carreras, et al.. (2016). Clouds over the summertime Sahara: An evaluation of Met OfficeMeteosat retrievals using airborne remote sensing. 1 indexed citations
16.
Holl, Gerrit, et al.. (2015). Simulating the effects of mid- to upper-tropospheric clouds on microwave emissions in EC-Earth using COSP. CentAUR (University of Reading). 1 indexed citations
17.
Hocking, James, Peter N. Francis, & Roger Saunders. (2011). Cloud detection in Meteosat Second Generation imagery at the Met Office. Meteorological Applications. 18(3). 307–323. 40 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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