L. de Mora

34.1k total citations
29 papers, 878 citations indexed

About

L. de Mora is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science. According to data from OpenAlex, L. de Mora has authored 29 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Oceanography and 8 papers in Atmospheric Science. Recurrent topics in L. de Mora's work include Marine and coastal ecosystems (13 papers), Climate variability and models (10 papers) and Oceanographic and Atmospheric Processes (7 papers). L. de Mora is often cited by papers focused on Marine and coastal ecosystems (13 papers), Climate variability and models (10 papers) and Oceanographic and Atmospheric Processes (7 papers). L. de Mora collaborates with scholars based in United Kingdom, United States and Netherlands. L. de Mora's co-authors include Momme Butenschön, Yuri Artioli, J. Icarus Allen, Robert J. W. Brewin, Stefano Ciavatta, James R. Clark, Luca Polimene, Susan Kay, T. J. Jackson and J. Icarus Allen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Climate.

In The Last Decade

L. de Mora

23 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. de Mora United Kingdom 16 525 430 235 140 88 29 878
Tomas Lovato Italy 15 384 0.7× 611 1.4× 187 0.8× 338 2.4× 52 0.6× 28 935
Anders Höglund Sweden 19 742 1.4× 485 1.1× 233 1.0× 345 2.5× 117 1.3× 30 1.2k
Philip Wallhead Norway 11 417 0.8× 258 0.6× 158 0.7× 101 0.7× 61 0.7× 25 628
Alexandria G. Hounshell United States 11 254 0.5× 136 0.3× 196 0.8× 119 0.8× 127 1.4× 21 523
Bror Jönsson United States 16 509 1.0× 434 1.0× 267 1.1× 231 1.6× 55 0.6× 39 948
Sergio Cerdeira‐Estrada Mexico 15 355 0.7× 306 0.7× 370 1.6× 84 0.6× 33 0.4× 39 741
Karen Wild-Allen Australia 19 594 1.1× 368 0.9× 401 1.7× 60 0.4× 82 0.9× 42 867
Ryan Weatherbee United States 11 496 0.9× 332 0.8× 210 0.9× 108 0.8× 56 0.6× 15 697
Claire M. Spillman Australia 22 650 1.2× 920 2.1× 544 2.3× 243 1.7× 66 0.8× 56 1.3k
Nancy W. Casey United States 12 1.2k 2.2× 585 1.4× 429 1.8× 238 1.7× 75 0.9× 17 1.4k

Countries citing papers authored by L. de Mora

Since Specialization
Citations

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

Fields of papers citing papers by L. de Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. de Mora. 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 L. de Mora. The network helps show where L. de Mora may publish in the future.

Co-authorship network of co-authors of L. de Mora

This figure shows the co-authorship network connecting the top 25 collaborators of L. de Mora. A scholar is included among the top collaborators of L. de Mora 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 L. de Mora. L. de Mora 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.
Mora, L. de, Giovanni Galli, Yuri Artioli, et al.. (2024). Impacts of Climate Change on the Ascension Island Marine Protected Area and Its Ecosystem Services. Journal of Geophysical Research Biogeosciences. 129(5).
2.
Mora, L. de, Ranjini Swaminathan, Richard P. Allan, et al.. (2023). Scenario choice impacts carbon allocation projection at global warming levels. Earth System Dynamics. 14(6). 1295–1315.
3.
Mulcahy, Jane P., Colin Jones, Steven T. Rumbold, et al.. (2023). UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model. Geoscientific model development. 16(6). 1569–1600. 18 indexed citations
4.
Swaminathan, Ranjini, Robert J. Parker, Colin Jones, et al.. (2021). The Physical Climate at Global Warming Thresholds as Seen in the U.K. Earth System Model. Journal of Climate. 35(1). 29–48. 21 indexed citations
5.
Yool, Andrew, Julien Palmiéri, Colin Jones, et al.. (2021). Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations. Geoscientific model development. 14(6). 3437–3472. 32 indexed citations
6.
Brewin, Robert J. W., Tyler Cyronak, Philip J. Bresnahan, et al.. (2020). Comparison of Two Methods for Measuring Sea Surface Temperature When Surfing. Oceans. 1(1). 6–26. 11 indexed citations
7.
Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview. Geoscientific model development. 13(3). 1179–1199. 67 indexed citations
8.
Mora, L. de, Alistair Sellar, Andrew Yool, et al.. (2020). Earth system music: music generated from the United Kingdom Earth System Model (UKESM1). SHILAP Revista de lepidopterología. 3(2). 263–278. 3 indexed citations
9.
Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2019). ESMValTool v2.0 – Technical overview. 2 indexed citations
10.
Griffiths, Amber, Kate C. Baker, Anna E. Hughes, et al.. (2019). AccessLab: Workshops to broaden access to scientific research. PLoS Biology. 17(5). e3000258–e3000258.
11.
Mora, L. de, Andrew Yool, Julien Palmiéri, et al.. (2018). BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models. Geoscientific model development. 11(10). 4215–4240. 2 indexed citations
12.
Brewin, Robert J. W., L. de Mora, T. J. Jackson, et al.. (2017). Evaluating operational AVHRR sea surface temperature data at the coastline using surfers. Estuarine Coastal and Shelf Science. 196. 276–289. 41 indexed citations
13.
Beaulieu, Claudie, Harriet Cole, Stephanie Henson, et al.. (2016). Marine regime shifts in ocean biogeochemical models: a case study in theGulf of Alaska. Biogeosciences. 13(15). 4533–4553. 5 indexed citations
14.
Mora, L. de, Momme Butenschön, & J. Icarus Allen. (2016). The assessment of a global marine ecosystem model on the basis of emergent properties and ecosystem function: a case study with ERSEM. Geoscientific model development. 9(1). 59–76. 26 indexed citations
15.
Butenschön, Momme, James R. Clark, John Aldridge, et al.. (2016). ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels. Geoscientific model development. 9(4). 1293–1339. 214 indexed citations
16.
Brewin, Robert J. W., et al.. (2015). On the Potential of Surfers to Monitor Environmental Indicators in the Coastal Zone. PLoS ONE. 10(7). e0127706–e0127706. 31 indexed citations
17.
Kwiatkowski, Lester, Andrew Yool, J. Icarus Allen, et al.. (2014). iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework. Biogeosciences. 11(24). 7291–7304. 63 indexed citations
18.
Mora, L. de, Momme Butenschön, & J. Icarus Allen. (2013). How should sparse marine in situ measurements be compared to a continuous model: an example. Geoscientific model development. 6(2). 533–548. 17 indexed citations
19.
Fernandes, José A., William W. L. Cheung, Simon Jennings, et al.. (2013). Modelling the effects of climate change on the distribution and production of marine fishes: accounting for trophic interactions in a dynamic bioclimate envelope model. Global Change Biology. 19(8). 2596–2607. 91 indexed citations
20.
Mora, L. de, Momme Butenschön, & J. Icarus Allen. (2012). How should sparse in situ measurements be compared to continuous model data?. Zenodo (CERN European Organization for Nuclear Research). 3 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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