Fernando Pellon de Miranda

2.2k total citations
95 papers, 1.3k citations indexed

About

Fernando Pellon de Miranda is a scholar working on Pollution, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Fernando Pellon de Miranda has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pollution, 17 papers in Artificial Intelligence and 16 papers in Environmental Engineering. Recurrent topics in Fernando Pellon de Miranda's work include Oil Spill Detection and Mitigation (25 papers), Geochemistry and Geologic Mapping (16 papers) and Atmospheric and Environmental Gas Dynamics (14 papers). Fernando Pellon de Miranda is often cited by papers focused on Oil Spill Detection and Mitigation (25 papers), Geochemistry and Geologic Mapping (16 papers) and Atmospheric and Environmental Gas Dynamics (14 papers). Fernando Pellon de Miranda collaborates with scholars based in Brazil, Portugal and United States. Fernando Pellon de Miranda's co-authors include J. R. Carr, Raimundo Almeida-Filho, Flávio Henrique‐Silva, Danyelle Toyama, Tereza Cristina Souza de Oliveira, Rui Cruz Ferreira, Ana Teresa Timóteo, Francisco Rodríguez‐Valera, Rohit Ghai and Luiz Landau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Fernando Pellon de Miranda

90 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Pellon de Miranda Brazil 19 359 210 210 192 179 95 1.3k
Huaguo Zhang China 19 181 0.5× 293 1.4× 267 1.3× 73 0.4× 376 2.1× 102 1.3k
Wenlei Wang China 24 149 0.4× 108 0.5× 108 0.5× 164 0.9× 356 2.0× 123 1.7k
Gerald Moore United Kingdom 29 538 1.5× 82 0.4× 619 2.9× 90 0.5× 1.8k 9.9× 64 3.2k
Xinyi Shen United States 25 301 0.8× 103 0.5× 1.2k 5.5× 230 1.2× 88 0.5× 104 2.3k
Qinxue Wang Japan 26 349 1.0× 44 0.2× 795 3.8× 61 0.3× 87 0.5× 99 2.0k
Wenji Zhao China 26 569 1.6× 188 0.9× 750 3.6× 56 0.3× 218 1.2× 150 2.1k
Hesham El‐Askary United States 27 348 1.0× 51 0.2× 1.1k 5.5× 18 0.1× 120 0.7× 115 2.1k
Wenting Cao China 22 305 0.8× 24 0.1× 655 3.1× 255 1.3× 64 0.4× 68 1.6k
Jiasheng Wang China 23 161 0.4× 32 0.2× 216 1.0× 74 0.4× 70 0.4× 150 1.8k
T. J. Crone United States 14 215 0.6× 451 2.1× 257 1.2× 43 0.2× 294 1.6× 30 1.2k

Countries citing papers authored by Fernando Pellon de Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Pellon de Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Pellon de Miranda. 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 Fernando Pellon de Miranda. The network helps show where Fernando Pellon de Miranda may publish in the future.

Co-authorship network of co-authors of Fernando Pellon de Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Pellon de Miranda. A scholar is included among the top collaborators of Fernando Pellon de Miranda 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 Fernando Pellon de Miranda. Fernando Pellon de Miranda 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.
Miranda, Fernando Pellon de, et al.. (2023). Exploring Blockchain Technology for Chain of Custody Control in Physical Evidence: A Systematic Literature Review. Journal of risk and financial management. 16(8). 360–360. 11 indexed citations
2.
Ebecken, Nelson F. F., et al.. (2023). Computational Oil-Slick Hub for Offshore Petroleum Studies. Journal of Marine Science and Engineering. 11(8). 1497–1497. 1 indexed citations
3.
MacLeod‐Carey, Desmond, et al.. (2021). Theoretical Evaluation of Novel Thermolysin Inhibitors from Bacillus thermoproteolyticus. Possible Antibacterial Agents. Molecules. 26(2). 386–386. 5 indexed citations
4.
Almeida-Filho, Raimundo, et al.. (2016). Analysis of SRTM data as an aid to hydrocarbon exploration in a frontier area of the Amazonas Sedimentary Basin, northern Brazil. Marine and Petroleum Geology. 73. 528–538. 5 indexed citations
5.
Riccomini, Cláudio, et al.. (2014). Is the current stress state in the Central Amazonia caused by surface water loading?. Journal of South American Earth Sciences. 55. 19–28. 3 indexed citations
6.
Timóteo, Ana Teresa, Ana Luísa Papoila, Pedro Rio, et al.. (2014). Prognostic impact of admission blood glucose for all-cause mortality in patients with acute coronary syndromes: added value on top of GRACE risk score. European Heart Journal Acute Cardiovascular Care. 3(3). 257–263. 27 indexed citations
7.
Timóteo, Ana Teresa, et al.. (2011). Influência das variáveis antropométricas na proteína C reactiva.. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Ghai, Rohit, Francisco Rodríguez‐Valera, Katherine D. McMahon, et al.. (2011). Metagenomics of the Water Column in the Pristine Upper Course of the Amazon River. PLoS ONE. 6(8). e23785–e23785. 153 indexed citations
9.
Landau, Luiz, et al.. (2010). Use of Information Derived from Radar Remote Sensing (RADARSAT-1) Interferometry and SRTM MOSAIC) for Mapping Neotectonic Activities in the REgion of Manaus City (Amazonas State). ESA Special Publication. 677. 36. 3 indexed citations
10.
Morales, Norberto, et al.. (2009). Controle tectônico na planície do Rio Solimões, região de Coari (AM), a partir de análise em imagens ópticas e dados SRTM. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 1 indexed citations
11.
12.
Mura, José Cláudio, Waldir Renato Paradellá, Luciano Vieira Dutra, et al.. (2009). MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System). Sensors. 9(1). 102–117. 8 indexed citations
13.
Filho, Pedro Walfir Martins e Souza, et al.. (2007). The Amazon Mangrove Coast: The Role of Geological Factors in its Evolution During the Quaternary. AGU Spring Meeting Abstracts. 2007.
14.
Filho, Pedro Walfir Martins e Souza, et al.. (2006). Sensoriamento remoto e recursos naturais da Amazônia. Ciência e Cultura. 58(3). 37–41. 5 indexed citations
15.
Miranda, Fernando Pellon de, et al.. (2005). Coastal observing system and the role of the remote sensors in the Northern Brazilian coast monitoring, Amazon. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Almeida-Filho, Raimundo, et al.. (2005). RADARSAT-1 images in support of petroleum exploration: the offshore Amazon River mouth example. Canadian Journal of Remote Sensing. 31(4). 289–303. 9 indexed citations
17.
Miranda, Fernando Pellon de, et al.. (2003). Application of Remote Sensing Data for Oil Spill Monitoring in the Guanabara Bay, Rio De Janeiro, Brazil. International Oil Spill Conference Proceedings. 2003(1). 195–199. 1 indexed citations
18.
Miranda, Fernando Pellon de, Anne E. McCafferty, & James V. Taranik. (1994). Reconnaissance geologic mapping of a portion of the rain-forest-covered Guiana Shield, northwestern Brazil, using SIR-B and digital aeromagnetic data. Geophysics. 59(5). 733–743. 2 indexed citations
19.
Miranda, Fernando Pellon de, John A. MacDonald, & J. R. Carr. (1992). Application of the semivariogram textural classifier (STC) for vegetation discrimination using SIR-B data of Borneo. International Journal of Remote Sensing. 13(12). 2349–2354. 46 indexed citations
20.
Miranda, Fernando Pellon de, et al.. (1990). Application of the Semivariogram Textural Classifier (STC) for Terrane Recognition Using Magellan Data: Preliminary Results. Lunar and Planetary Science Conference. 22. 839. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Huaguo Zhang Breakdown of academic impact, for papers by Wenlei Wang Breakdown of academic impact, for papers by Gerald Moore Breakdown of academic impact, for papers by Xinyi Shen Breakdown of academic impact, for papers by Qinxue Wang Breakdown of academic impact, for papers by Wenji Zhao Breakdown of academic impact, for papers by Hesham El‐Askary Breakdown of academic impact, for papers by Wenting Cao Breakdown of academic impact, for papers by Jiasheng Wang Breakdown of academic impact, for papers by T. J. Crone
Rankless by CCL
2026