Rolf Simões

746 total citations
23 papers, 432 citations indexed

About

Rolf Simões is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Rolf Simões has authored 23 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 10 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Rolf Simões's work include Remote Sensing in Agriculture (13 papers), Land Use and Ecosystem Services (8 papers) and Geochemistry and Geologic Mapping (4 papers). Rolf Simões is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Land Use and Ecosystem Services (8 papers) and Geochemistry and Geologic Mapping (4 papers). Rolf Simões collaborates with scholars based in Brazil, Germany and Austria. Rolf Simões's co-authors include Gilberto Câmara, Michelle Cristina Araújo Picoli, Karine Reis Ferreira, Gilberto Ribeiro de Queiroz, Pedro R. Andrade, Adeline Maciel, Alber Sánchez, Ieda Del’Arco Sanches, Michel Eustáquio Dantas Chaves and Rodrigo Anzolin Begotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Environmental Research Letters.

In The Last Decade

Rolf Simões

20 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rolf Simões Brazil 10 232 165 110 92 59 23 432
J. F. G. Antunes Brazil 12 291 1.3× 196 1.2× 130 1.2× 52 0.6× 54 0.9× 40 567
Karine Reis Ferreira Brazil 13 304 1.3× 248 1.5× 133 1.2× 121 1.3× 74 1.3× 39 713
Gilberto Ribeiro de Queiroz Brazil 10 354 1.5× 232 1.4× 129 1.2× 115 1.3× 103 1.7× 32 639
Yady Tatiana Solano‐Correa Italy 12 237 1.0× 120 0.7× 99 0.9× 171 1.9× 135 2.3× 43 422
Yinan He United States 7 177 0.8× 135 0.8× 101 0.9× 111 1.2× 59 1.0× 16 423
Junxiong Zhou China 12 241 1.0× 115 0.7× 129 1.2× 132 1.4× 71 1.2× 31 451
M. B. Potdar India 12 199 0.9× 126 0.8× 70 0.6× 50 0.5× 62 1.1× 53 491
Andrea Tassi United Kingdom 12 246 1.1× 225 1.4× 118 1.1× 70 0.8× 99 1.7× 37 709
Claudia Paris Italy 12 223 1.0× 80 0.5× 287 2.6× 131 1.4× 69 1.2× 51 545
Alireza Taravat Italy 13 142 0.6× 190 1.2× 127 1.2× 107 1.2× 64 1.1× 26 536

Countries citing papers authored by Rolf Simões

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Simões

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolf Simões

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Simões. A scholar is included among the top collaborators of Rolf Simões 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 Rolf Simões. Rolf Simões 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.
Câmara, Gilberto, et al.. (2024). Bayesian Inference for Post-Processing of Remote-Sensing Image Classification. Remote Sensing. 16(23). 4572–4572. 1 indexed citations
2.
Parente, Leandro, Tomislav Hengl, Rolf Simões, et al.. (2024). Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution. PeerJ. 12. e16972–e16972. 7 indexed citations
3.
4.
Câmara, Gilberto, Rolf Simões, Pedro R. Andrade, et al.. (2023). Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia. Environmental Research Letters. 18(6). 65005–65005. 14 indexed citations
5.
Soterroni, Aline C., et al.. (2023). Current policies are insufficient to protect or restore Brazil’s cost-effective conservation priority zones. Environmental Research Letters. 18(6). 65006–65006. 3 indexed citations
6.
Simões, Rolf, Alber Sánchez, Michelle Cristina Araújo Picoli, & Patrick Meyfroidt. (2023). The segmetric Package: Metrics for Assessing Segmentation Accuracy for Geospatial Data. The R Journal. 15(1). 159–172.
7.
Chaves, Michel Eustáquio Dantas, Marcelo de Carvalho Alves, Thelma Sáfadi, et al.. (2021). Time-weighted dynamic time warping analysis for mapping interannual cropping practices changes in large-scale agro-industrial farms in Brazilian Cerrado. SHILAP Revista de lepidopterología. 3. 100021–100021. 23 indexed citations
8.
Simões, Rolf, et al.. (2021). Satellite Image Time Series Analysis for Big Earth Observation Data. Remote Sensing. 13(13). 2428–2428. 64 indexed citations
9.
Simões, Rolf, et al.. (2021). Rstac: An R Package to Access Spatiotemporal Asset Catalog Satellite Imagery. 7674–7677. 5 indexed citations
10.
Ferreira, Karine Reis, et al.. (2021). Quality control and class noise reduction of satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing. 177. 75–88. 37 indexed citations
11.
Sánchez, Alber, Michelle Cristina Araújo Picoli, Gilberto Câmara, et al.. (2020). Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest. Remote Sensing. 12(8). 1284–1284. 58 indexed citations
12.
Simões, Rolf, Michelle Cristina Araújo Picoli, Gilberto Câmara, et al.. (2020). Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017. Scientific Data. 7(1). 34–34. 40 indexed citations
13.
Picoli, Michelle Cristina Araújo, Rolf Simões, Michel Eustáquio Dantas Chaves, et al.. (2020). CBERS DATA CUBE: A POWERFUL TECHNOLOGY FOR MAPPING AND MONITORING BRAZILIAN BIOMES. SHILAP Revista de lepidopterología. V-3-2020. 533–539. 19 indexed citations
14.
Ferreira, Karine Reis, Gilberto Ribeiro de Queiroz, Gilberto Câmara, et al.. (2020). Using Remote Sensing Images and Cloud Services on Aws to Improve Land Use and Cover Monitoring. 558–562. 20 indexed citations
15.
Ferreira, Karine Reis, Gilberto Ribeiro de Queiroz, Gilberto Câmara, et al.. (2020). USING REMOTE SENSING IMAGES AND CLOUD SERVICES ON AWS TO IMPROVE LAND USE AND COVER MONITORING. SHILAP Revista de lepidopterología. XLII-3/W12-2020. 207–211. 4 indexed citations
16.
Sánchez, Alber, Michelle Cristina Araújo Picoli, Pedro R. Andrade, et al.. (2019). Land Cover Classifications of Clear-cut Deforestation Using Deep Learning.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 48–56. 2 indexed citations
17.
Sánchez, Alber, Lúbia Vinhas, Gilberto Ribeiro de Queiroz, et al.. (2019). Reproducible geospatial data science: Exploratory data analysis using collaborative analysis environments. Revista Brasileira de Cartografia. 70(5). 1844–1859.
18.
Simões, Rolf, et al.. (2018). Density classification performance and ergodicity of the Gacs-Kurdyumov-Levin cellular automaton model IV. Physical review. E. 98(1). 12135–12135.
19.
Câmara, Gilberto, Rolf Simões, Pedro R. Andrade, et al.. (2018). e-sensing/sits: Version 1.12.5. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
20.
Sánchez, Alber, Lúbia Vinhas, Gilberto Ribeiro de Queiroz, et al.. (2018). Reproducible geospatial data science: Exploratory data analysis using collaborative analysis environments. Revista Brasileira de Cartografia. 70(5). 1844–1859. 1 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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