Daniela S Oliveira

19 papers and 203 indexed citations i.

About

Daniela S Oliveira is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Daniela S Oliveira has authored 19 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 10 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Daniela S Oliveira’s work include Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (7 papers) and Spam and Phishing Detection (7 papers). Daniela S Oliveira is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (7 papers) and Spam and Phishing Detection (7 papers). Daniela S Oliveira collaborates with scholars based in United States, Brazil and Luxembourg. Daniela S Oliveira's co-authors include Tian Lin, Donovan Ellis, Harold A. Rocha, Natalie C. Ebner, André Grégio, Marcus Botacin, Natalie C. Ebner, Gary R. Turner, Damon L. Woodard and R. Nathan Spreng and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Daniela S Oliveira i

Fields of papers citing papers by Daniela S Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela S Oliveira

Since Specialization
Citations

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

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

Rankless by CCL
2025