Rachel North

1.1k total citations
18 papers, 578 citations indexed

About

Rachel North is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Rachel North has authored 18 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 5 papers in Astronomy and Astrophysics. Recurrent topics in Rachel North's work include Climate variability and models (13 papers), Meteorological Phenomena and Simulations (11 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Rachel North is often cited by papers focused on Climate variability and models (13 papers), Meteorological Phenomena and Simulations (11 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Rachel North collaborates with scholars based in United Kingdom, Sweden and Australia. Rachel North's co-authors include T. R. Marsh, Pierre Maxted, U. Heber, L. Morales‐Rueda, P. F. L. Maxted, Marion Mittermaier, S. Zhang, Ian A. Renfrew, David A. J. Sproson and G. W. K. Moore and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Rachel North

18 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel North United Kingdom 13 309 244 225 136 66 18 578
K. J. Pearson United Kingdom 11 170 0.6× 230 0.9× 222 1.0× 21 0.2× 42 0.6× 21 420
V. G. Zubko United States 9 458 1.5× 245 1.0× 200 0.9× 36 0.3× 11 0.2× 17 706
Laurence Twigg United States 16 240 0.8× 403 1.7× 319 1.4× 26 0.2× 23 0.3× 38 657
Stefano Migliorini United Kingdom 17 168 0.5× 819 3.4× 740 3.3× 30 0.2× 52 0.8× 40 1.0k
Robert A. Piontek United States 7 226 0.7× 76 0.3× 70 0.3× 26 0.2× 26 0.4× 9 317
Richard Querel New Zealand 14 138 0.4× 413 1.7× 321 1.4× 13 0.1× 96 1.5× 61 589
Thomas Hearty United States 11 189 0.6× 266 1.1× 196 0.9× 21 0.2× 32 0.5× 25 425
David Baker United States 10 179 0.6× 175 0.7× 151 0.7× 13 0.1× 21 0.3× 19 342
Aronne Merrelli United States 13 126 0.4× 351 1.4× 359 1.6× 44 0.3× 6 0.1× 34 530
Veselin B. Kostov United States 12 402 1.3× 36 0.1× 40 0.2× 116 0.9× 6 0.1× 34 484

Countries citing papers authored by Rachel North

Since Specialization
Citations

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

Fields of papers citing papers by Rachel North

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel North

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel North. A scholar is included among the top collaborators of Rachel 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 Rachel North. Rachel North 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.
Bush, Mike, Ian Boutle, John Edwards, et al.. (2023). The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2. Geoscientific model development. 16(6). 1713–1734. 34 indexed citations
3.
North, Rachel, Marion Mittermaier, & Sean Milton. (2021). Using SEEPS with a TRMM-Derived Climatology to Assess Global NWP Precipitation Forecast Skill. Monthly Weather Review. 150(1). 135–155. 4 indexed citations
5.
Porson, Aurore, Joanne M. Carr, Susanna Hagelin, et al.. (2020). Recent upgrades to the Met Office convective‐scale ensemble: An hourly time‐lagged 5‐day ensemble. Quarterly Journal of the Royal Meteorological Society. 146(732). 3245–3265. 28 indexed citations
6.
Dipankar, Anurag, Stuart Webster, Claudio Sánchez, et al.. (2020). SINGV: A convective‐scale weather forecast model for Singapore. Quarterly Journal of the Royal Meteorological Society. 146(733). 4131–4146. 26 indexed citations
7.
Heng, B. C. P., Robert N. Tubbs, Xiang‐Yu Huang, et al.. (2020). SINGV‐DA: A data assimilation system for convective‐scale numerical weather prediction over Singapore. Quarterly Journal of the Royal Meteorological Society. 146(729). 1923–1938. 16 indexed citations
8.
Huang, Xiang‐Yu, et al.. (2019). A Subjective and Objective Evaluation of Model Forecasts of Sumatra Squall Events. Weather and Forecasting. 35(2). 489–506. 8 indexed citations
9.
Porson, Aurore, Susanna Hagelin, Nigel Roberts, et al.. (2019). Extreme rainfall sensitivity in convective‐scale ensemble modelling over Singapore. Quarterly Journal of the Royal Meteorological Society. 145(724). 3004–3022. 20 indexed citations
10.
Clark, Adam J., Steven J. Weiss, Mark Weeks, et al.. (2016). Collaborative Efforts between the United States and United Kingdom to Advance Prediction of High-Impact Weather. Bulletin of the American Meteorological Society. 98(5). 937–948. 14 indexed citations
11.
Mittermaier, Marion, et al.. (2015). Feature-Based Diagnostic Evaluation of Global NWP Forecasts. Monthly Weather Review. 144(10). 3871–3893. 17 indexed citations
12.
North, Rachel, et al.. (2013). An assessment of the SEEPS and SEDI metrics for the verification of 6 h forecast precipitation accumulations. Meteorological Applications. 20(2). 164–175. 23 indexed citations
13.
Renfrew, Ian A., Guðrún Nína Petersen, David A. J. Sproson, et al.. (2009). A comparison of aircraft‐based surface‐layer observations over Denmark Strait and the Irminger Sea with meteorological analyses and QuikSCAT winds. Quarterly Journal of the Royal Meteorological Society. 135(645). 2046–2066. 70 indexed citations
14.
Morales‐Rueda, L., P. F. L. Maxted, T. R. Marsh, Rachel North, & U. Heber. (2003). Orbital periods of 22 subdwarf B stars. Monthly Notices of the Royal Astronomical Society. 338(3). 752–764. 105 indexed citations
15.
Maxted, P. F. L., T. R. Marsh, U. Heber, et al.. (2002). Photometry of four binary subdwarf B stars and the nature of their unseen companion stars. Monthly Notices of the Royal Astronomical Society. 333(1). 231–240. 56 indexed citations
16.
North, Rachel, T. R. Marsh, U. Kolb, R. Stehle, & R. C. Smith. (2000). EM Cygni: A Companionable Dwarf Nova. New Astronomy Reviews. 44. 29. 1 indexed citations
17.
Maxted, Pierre, T. R. Marsh, & Rachel North. (2000). KPD 1930+2752: a candidate Type Ia supernova progenitor. Monthly Notices of the Royal Astronomical Society. 317(3). L41–L44. 131 indexed citations
18.
North, Rachel, T. R. Marsh, C. Moran, et al.. (2000). A mystery solved: the mass ratio of the dwarf nova EM Cygni. Monthly Notices of the Royal Astronomical Society. 313(2). 383–391. 22 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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