Elias Oliveira

40 papers receiving 253 citations

Peers

Elias Oliveira
Comparison fields: 5 of 86
  • Artificial Intelligence 139
  • Computer Vision and Pattern Recognition 56
  • Information Systems 53
  • Electrical and Electronic Engineering 46
  • Geophysics 29
Replace Shuang Zhao with:
Shuang Zhao China
Paul Gardner-Stephen Australia
David Charte Spain
Tom Zahavy Israel
Anit Kumar Sahu United States
Wei Zhuo China
Ke Cheng China
Chengjin Xu China
Elias Oliveira relative to Shuang Zhao China Shuang Zhao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Elias Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Elias Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elias Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Elias Oliveira. A scholar is included among the top collaborators of Elias Oliveira 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 Elias Oliveira. Elias Oliveira 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
#WorkIndexed citations
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LCAD - UFES at FakeDeS 2021: Fake News Detection Using Named Entity Recognition and Part-of-Speech Sequences.
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5 2
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7 19
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Adapting NER (CRF+LG) for Many Textual Genres.
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Proposed use of multi-layer feedforward neural networks for optimization of fuel recharge patterns of fuel in a PWR reactor
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Development of Electromagnetic Tomography (EMT) for Industrial Applications. Part 1: Sensor Design and Instrumentation
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Development of electromagnetic tomography (EMT) for industrial application: part 2: image reconstruction and software framework.
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About Elias Oliveira

Elias Oliveira is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 45 papers that have together received 268 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (9 papers), Topic Modeling (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Artificial Intelligence (139 citations), Computer Science Applications (22 citations) and Computer Vision and Pattern Recognition (56 citations). Elias Oliveira has collaborated with scholars based in Brazil, Mongolia and United States. Frequent co-authors include Patrick Marques Ciarelli, Evandro Ottoni Teatini Salles, Anthony Peyton, Alberto F. De Souza, Lucas Veronese, Claudine Badué, Júlio Cézar Uili Coelho, Júlio César Wiederkehr, Antônio Carlos Ligocki Campos and Thereza Quírico‐Santos. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

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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