Anderson Santos

412 total citations
5 papers, 274 citations indexed

About

Anderson Santos is a scholar working on Ecology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Anderson Santos has authored 5 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Ecology, 2 papers in Artificial Intelligence and 2 papers in Plant Science. Recurrent topics in Anderson Santos's work include Smart Agriculture and AI (2 papers), Remote Sensing in Agriculture (2 papers) and Data-Driven Disease Surveillance (1 paper). Anderson Santos is often cited by papers focused on Smart Agriculture and AI (2 papers), Remote Sensing in Agriculture (2 papers) and Data-Driven Disease Surveillance (1 paper). Anderson Santos collaborates with scholars based in Brazil and Germany. Anderson Santos's co-authors include Wesley Nunes Gonçalves, José Marcato, Veraldo Liesenberg, Everton Castel�ão Tetila, Henrique Siqueira, Anette Eltner, Edson Takashi Matsubara, Hemerson Pistori, Raul Queiroz Feitosa and Camila Aoki and has published in prestigious journals such as Sensors, Remote Sensing and Ecological Informatics.

In The Last Decade

Anderson Santos

5 papers receiving 265 citations

Peers

Anderson Santos
Anderson Santos
Citations per year, relative to Anderson Santos Anderson Santos (= 1×) peers Haiping Lin

Countries citing papers authored by Anderson Santos

Since Specialization
Citations

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

Fields of papers citing papers by Anderson Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anderson Santos

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

All Works

5 of 5 papers shown
1.
Mitishita, Edson Aparecido, Veraldo Liesenberg, Anderson Santos, et al.. (2020). ATSS Deep Learning-Based Approach to Detect Apple Fruits. Remote Sensing. 13(1). 54–54. 50 indexed citations
2.
Santos, Anderson, José Marcato, Everton Castel�ão Tetila, et al.. (2019). Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs. Sensors. 19(16). 3595–3595. 144 indexed citations
3.
Santos, Anderson & Wesley Nunes Gonçalves. (2019). Improving Pantanal fish species recognition through taxonomic ranks in convolutional neural networks. Ecological Informatics. 53. 100977–100977. 49 indexed citations
4.
Zoppi, Tommaso, et al.. (2019). Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection. Florence Research (University of Florence). 318–327. 30 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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