Sandra Gomes

3.8k total citations · 3 hit papers
3 papers, 2.2k citations indexed

About

Sandra Gomes is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Sandra Gomes has authored 3 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Global and Planetary Change, 2 papers in Atmospheric Science and 2 papers in Water Science and Technology. Recurrent topics in Sandra Gomes's work include Climate variability and models (3 papers), Hydrology and Watershed Management Studies (2 papers) and Meteorological Phenomena and Simulations (2 papers). Sandra Gomes is often cited by papers focused on Climate variability and models (3 papers), Hydrology and Watershed Management Studies (2 papers) and Meteorological Phenomena and Simulations (2 papers). Sandra Gomes collaborates with scholars based in United Kingdom, Portugal and Russia. Sandra Gomes's co-authors include Graham P. Weedon, Martin Best, Pedro Viterbo, Nicolas Bellouin, Gianpaolo Balsamo, C. Piani, Stefan Hagemann, Jan O. Haerter, Hermann Österle and W. James Shuttleworth and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Journal of Hydrometeorology.

In The Last Decade

Sandra Gomes

3 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data

2014 819 citations Graham P. Weedon, Gianpaolo Balsamo et al. Water Resources Research profile →
Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century

2011 676 citations Graham P. Weedon, Sandra Gomes et al. Journal of Hydrometeorology profile →
Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models

2010 670 citations C. Piani, Graham P. Weedon et al. Journal of Hydrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandra Gomes United Kingdom	3	1.6k	980	868	235	220	3	2.2k
Mike Hobbins United States	27	2.6k 1.6×	1.2k 1.2×	743 0.9×	279 1.2×	175 0.8×	45	3.0k
Axel Thomas Germany	14	1.7k 1.1×	759 0.8×	750 0.9×	242 1.0×	176 0.8×	22	2.2k
Daniel G. Kingston New Zealand	25	1.8k 1.1×	1.3k 1.3×	637 0.7×	235 1.0×	123 0.6×	55	2.2k
Wanqiu Xing China	28	1.6k 1.0×	1.3k 1.3×	516 0.6×	308 1.3×	168 0.8×	52	2.1k
Gopi Goteti United States	6	1.9k 1.2×	1.2k 1.2×	876 1.0×	506 2.2×	163 0.7×	11	2.5k
Mingzhong Xiao China	29	2.0k 1.2×	939 1.0×	737 0.8×	327 1.4×	242 1.1×	64	2.3k
Marie Ekström United Kingdom	24	1.9k 1.2×	574 0.6×	1.2k 1.4×	290 1.2×	155 0.7×	49	2.3k
Lucas Menzel Germany	26	1.2k 0.7×	772 0.8×	627 0.7×	250 1.1×	115 0.5×	67	2.0k
Matthias Themeßl Austria	6	2.3k 1.4×	916 0.9×	1.5k 1.7×	215 0.9×	230 1.0×	11	2.6k

Countries citing papers authored by Sandra Gomes

Since Specialization

Citations

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

Fields of papers citing papers by Sandra Gomes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Gomes

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

All Works

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3 of 3 papers shown

1.

Weedon, Graham P., Gianpaolo Balsamo, Nicolas Bellouin, et al.. (2014). The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data. Water Resources Research. 50(9). 7505–7514. 819 indexed citations breakdown →

2.

Weedon, Graham P., Sandra Gomes, Pedro Viterbo, et al.. (2011). Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. Journal of Hydrometeorology. 12(5). 823–848. 676 indexed citations breakdown →

3.

Piani, C., Graham P. Weedon, Martin Best, et al.. (2010). Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models. Journal of Hydrology. 395(3-4). 199–215. 670 indexed citations breakdown →

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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