José Gómez‐Dans

4.4k total citations · 5 hit papers
47 papers, 3.2k citations indexed

About

José Gómez‐Dans is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, José Gómez‐Dans has authored 47 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 24 papers in Ecology and 18 papers in Environmental Engineering. Recurrent topics in José Gómez‐Dans's work include Remote Sensing in Agriculture (22 papers), Fire effects on ecosystems (10 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). José Gómez‐Dans is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Fire effects on ecosystems (10 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). José Gómez‐Dans collaborates with scholars based in United Kingdom, United States and Spain. José Gómez‐Dans's co-authors include P. Lewis, Ross A. Bradstock, Sally Archibald, Caroline E. R. Lehmann, Bethany A. Bradley, Carla M. D’Antonio, Jennifer K. Balch, Luis Guanter, R. G. Grainger and A. Dudhia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

José Gómez‐Dans

47 papers receiving 3.1k citations

Hit Papers

Defining pyromes and global syndromes of fire regimes 2012 2026 2016 2021 2013 2012 2012 2019 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Gómez‐Dans United Kingdom 18 2.1k 2.0k 647 555 542 47 3.2k
Aleixandre Verger Spain 28 1.7k 0.8× 1.9k 1.0× 995 1.5× 279 0.5× 588 1.1× 70 2.9k
Ronggao Liu China 31 3.0k 1.4× 2.1k 1.1× 1.0k 1.6× 381 0.7× 1.1k 2.1× 92 4.2k
Tristan Quaife United Kingdom 28 1.7k 0.8× 1.3k 0.7× 594 0.9× 305 0.5× 538 1.0× 83 2.6k
Rogier de Jong Switzerland 26 2.4k 1.1× 2.0k 1.0× 747 1.2× 553 1.0× 836 1.5× 43 3.4k
Fabio Maselli Italy 34 2.2k 1.0× 2.2k 1.1× 1.5k 2.4× 747 1.3× 690 1.3× 161 3.9k
Temuulen Tsagaan Sankey United States 28 1.1k 0.5× 1.3k 0.7× 1.1k 1.6× 461 0.8× 384 0.7× 73 2.4k
Ursula Geßner Germany 29 1.4k 0.7× 1.2k 0.6× 616 1.0× 179 0.3× 786 1.5× 65 2.7k
Sangram Ganguly United States 32 2.7k 1.2× 2.4k 1.2× 1.4k 2.2× 489 0.9× 992 1.8× 79 4.4k
Gabriela Schaepman‐Strub Switzerland 27 1.7k 0.8× 2.5k 1.3× 947 1.5× 301 0.5× 1.8k 3.4× 95 4.6k
Megan Lewis Australia 27 847 0.4× 1.4k 0.7× 659 1.0× 307 0.6× 252 0.5× 105 2.6k

Countries citing papers authored by José Gómez‐Dans

Since Specialization
Citations

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

Fields of papers citing papers by José Gómez‐Dans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Gómez‐Dans. 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 José Gómez‐Dans. The network helps show where José Gómez‐Dans may publish in the future.

Co-authorship network of co-authors of José Gómez‐Dans

This figure shows the co-authorship network connecting the top 25 collaborators of José Gómez‐Dans. A scholar is included among the top collaborators of José Gómez‐Dans 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 José Gómez‐Dans. José Gómez‐Dans 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.
Gómez‐Dans, José, et al.. (2024). The global drivers of wildfire. Frontiers in Environmental Science. 12. 7 indexed citations
2.
Rains, Dominik, Isabel F. Trigo, Emanuel Dutra, et al.. (2024). High-resolution (1 km) all-sky net radiation over Europe enabled by the merging of land surface temperature retrievals from geostationary and polar-orbiting satellites. Earth system science data. 16(1). 567–593. 5 indexed citations
3.
Lewis, P., et al.. (2022). Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI. Geoscientific model development. 15(21). 7933–7976. 39 indexed citations
4.
Zhao, Anni, et al.. (2022). Analysing the PMIP4-CMIP6 collection: a workflow and tool (pmip_p2fvar_analyzer v1). Geoscientific model development. 15(6). 2475–2488. 3 indexed citations
5.
Gómez‐Dans, José, P. Lewis, Dilys S. MacCarthy, et al.. (2022). Location, biophysical and agronomic parameters for croplands in northern Ghana. Earth system science data. 14(12). 5387–5410. 7 indexed citations
6.
Brennan, James K., José Gómez‐Dans, Mathias Disney, & P. Lewis. (2019). Theoretical uncertainties for global satellite-derived burned area estimates. Biogeosciences. 16(16). 3147–3164. 14 indexed citations
7.
Feng, Yin, et al.. (2019). The Sensor Independent Atmospheric Correction (SIAC) approach applied to Sentinel-2 and Landsat-8 data. EGU General Assembly Conference Abstracts. 11269. 1 indexed citations
8.
MacBean, Natasha, Fabienne Maignan, Cédric Bacour, et al.. (2018). Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data. Scientific Reports. 8(1). 1973–1973. 93 indexed citations
9.
Huang, Haiyan, David P. Roy, Luigi Boschetti, et al.. (2016). Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination. Remote Sensing. 8(10). 873–873. 131 indexed citations
10.
Camps‐Valls, Gustau, Jochem Verrelst, Jordi Muñoz-Marı́, et al.. (2016). A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation. IEEE Geoscience and Remote Sensing Magazine. 4(2). 58–78. 184 indexed citations
11.
MacBean, Natasha, Fabienne Maignan, Paul Lewis, et al.. (2015). A Model-Data Fusion Approach for Constraining Modeled GPP at Global Scales Using GOME2 SIF Data. 2015 AGU Fall Meeting. 2015. 1 indexed citations
12.
Kershaw, Philip, Bryan Lawrence, José Gómez‐Dans, & John A. Holt. (2015). Cloud hosting of the IPython Notebook to Provide Collaborative Research Environments for Big Data Analysis. EGUGA. 13090. 1 indexed citations
13.
Verrelst, Jochem, Juan Pablo Rivera, José Gómez‐Dans, Gustau Camps‐Valls, & J. Moreno. (2015). Replacing radiative transfer models by surrogate approximations through machine learning. 633–636. 5 indexed citations
14.
Gómez‐Dans, José, et al.. (2013). Validation Of The Earth Observation Land Data Assimilation System By The Field Data Of ESA SPARC Field Campaign. 722. 74. 1 indexed citations
15.
Lewis, P., José Gómez‐Dans, T. Kaminski, et al.. (2012). An Earth Observation Land Data Assimilation System (EO-LDAS). Remote Sensing of Environment. 120. 219–235. 86 indexed citations
16.
Lewis, P., Tristan Quaife, José Gómez‐Dans, et al.. (2009). Modelling the impact of wildfire on spectral reflectance. 37. IV–1019. 2 indexed citations
17.
Griggs, J. A., Jonathan Bamber, & José Gómez‐Dans. (2008). A new 1 km Digital Elevation Model of the Antarctic Derived From Combined Satellite Radar and Laser Data. AGUFM. 2008. 7 indexed citations
18.
Gómez‐Dans, José, S. Quegan, & John C. Bennett. (2006). Indoor C-band polarimetric interferometry observations of a mature wheat canopy. IEEE Transactions on Geoscience and Remote Sensing. 44(4). 768–777. 17 indexed citations
19.
Gómez‐Dans, José, et al.. (2005). Constraining Coherence Optimisation in Polarimetric Interferometry of Layered Targets. ESA Special Publication. 586. 52. 5 indexed citations
20.
Quegan, S., et al.. (2003). Crop classification with multitemporal polarimetric SAR data. Socio-Environmental Systems Modeling. 529. 17 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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