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.
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
20212.5k citationsJoaquı́n Muñoz-Sabater, Emanuel Dutra et al.Earth system science dataprofile →
GLEAM v3: satellite-based land evaporation and root-zone soil moisture
20171.8k citationsBrecht Martens, Diego G. Miralles et al.Geoscientific model developmentprofile →
MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data
2017812 citationsHylke E. Beck, Albert I. J. M. van Dijk et al.Hydrology and earth system sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Brecht Martens
Since
Specialization
Citations
This map shows the geographic impact of Brecht Martens'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 Brecht Martens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brecht Martens more than expected).
This network shows the impact of papers produced by Brecht Martens. 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 Brecht Martens. The network helps show where Brecht Martens may publish in the future.
Co-authorship network of co-authors of Brecht Martens
This figure shows the co-authorship network connecting the top 25 collaborators of Brecht Martens.
A scholar is included among the top collaborators of Brecht Martens 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 Brecht Martens. Brecht Martens 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.
Muñoz-Sabater, Joaquı́n, Emanuel Dutra, Anna Agustí‐Panareda, et al.. (2021). ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth system science data. 13(9). 4349–4383.2493 indexed citations breakdown →
Dorigo, Wouter, et al.. (2019). Identifying oceanic-atmospheric controls on hydrology using a machine learning approach. EGU General Assembly Conference Abstracts. 13385.1 indexed citations
Rouholahnejad, E. & Brecht Martens. (2018). Improving global estimates of terrestrial evaporation by integrating remotely-sensed observations of changes in terrestrial water storage (GRACE) into a global evaporation model (GLEAM). AGU Fall Meeting Abstracts. 2018.1 indexed citations
Martens, Brecht, et al.. (2017). On the application of the Global Land Evaporation Amsterdam Model (GLEAM) at hyper-resolution. EGUGA. 8406.1 indexed citations
13.
Beck, Hylke E., Albert I. J. M. van Dijk, Vincenzo Levizzani, et al.. (2017). MSWEP: 3-hourly 0.1° fully global precipitation (1979-present) by merging gauge, satellite, and weather model data. EGUGA. 18289.4 indexed citations
14.
Beck, Hylke E., Albert I. J. M. van Dijk, Vincenzo Levizzani, et al.. (2017). MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrology and earth system sciences. 21(1). 589–615.812 indexed citations breakdown →
15.
Martens, Brecht, Diego G. Miralles, Hans Lievens, et al.. (2017). GLEAM v3: satellite-based land evaporation and root-zone soil moisture. Geoscientific model development. 10(5). 1903–1925.1774 indexed citations breakdown →
Martens, Brecht, Diego G. Miralles, Hans Lievens, et al.. (2016). GLEAM v3: updated land evaporation and root-zone soil moisture datasets. EGUGA.2 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.