André Grégio

61 papers receiving 834 citations

Peers

André Grégio
Comparison fields: 5 of 45
  • Signal Processing 640
  • Software 149
  • Computer Networks and Communications 622
  • Information Systems 459
  • Artificial Intelligence 300
Replace X. Sean Wang with:
X. Sean Wang China
Xiaokui Shu United States
Christian Wressnegger Germany
Xabier Ugarte-Pedrero Spain
Luyi Xing United States
Brendan Saltaformaggio United States
Amin Kharraz United States
Fabio Pierazzi United Kingdom
Lwin Khin Shar Singapore
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Citations per field
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Citations per year

Countries citing papers authored by André Grégio

Since Specialization
Citations

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

Fields of papers citing papers by André Grégio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside André Grégio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with André Grégio Line = papers co-authored together André Grégio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014143
2 2017138
3 202138
4 201834
5 201532
6 202228
7 201827
8 201925
9 201423
10 201921
11 201720
12 202020
13 201117
14 202116
15 202315
16 202214
17 202113
18 201812
19 201811
20 201911

About André Grégio

André Grégio is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Software, having authored 72 papers that have together received 857 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (59 papers), Network Security and Intrusion Detection (43 papers), Spam and Phishing Detection (16 papers), Security and Verification in Computing (16 papers), Anomaly Detection Techniques and Applications (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Software Testing and Debugging Techniques (6 papers) and Digital and Cyber Forensics (4 papers). The work is most often cited by research in Signal Processing (640 citations), Software (149 citations), Computer Networks and Communications (622 citations), Information Systems (459 citations) and Artificial Intelligence (300 citations). André Grégio has collaborated with scholars based in Brazil, United States and New Zealand. Frequent co-authors include Paulo Lício de Geus, Marcus Botacin, Luis C. E. Bona, Vitor Monte Afonso, Luiz S. Oliveira, Daniela S Oliveira, Mário Jino, Rafael Santos, Heitor Murilo Gomes and Rodrigo Bonacin. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Computers & Security, ACM Transactions on Privacy and Security, Expert Systems with Applications and Lecture notes in computer science.

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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