Mário Antunes

679 citations
47 papers · 324 indexed · h-index 11

Mário Antunes

43 papers receiving 304 citations

Peers

Mário Antunes
Comparison fields: 5 of 76
  • Information Systems 119
  • Computer Science Applications 24
  • Computer Networks and Communications 92
  • Artificial Intelligence 114
  • Signal Processing 31
Replace Hourieh Khalajzadeh with:
Hourieh Khalajzadeh Australia
Mushtaq Raza Pakistan
Charles D. Knutson United States
Steve Lloyd United Kingdom
Furkh Zeshan Pakistan
Kostas Stathis United Kingdom
Ghaith M. Jaradat Jordan
Younès El Bouzekri El Idrissi Morocco
Young Ok Kwon United States
Heru Agus Santoso Indonesia
Mário Antunes relative to Hourieh Khalajzadeh Australia Hourieh Khalajzadeh's profile →
Citations per field
00.5×
Hourieh Khalajzadeh · 1×
Citations per year

Countries citing papers authored by Mário Antunes

Since Specialization
Citations

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

Fields of papers citing papers by Mário Antunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mário Antunes, 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 Mário Antunes Line = papers co-authored together Mário Antunes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20252
4 20250
5 20241
6 20242
7 20231
8 202310
9 202111
10 20213
11 20201
12 20195
13 20190
14 20155
15 20153
16
Anonymization of burned-in annotations in ultrasound imaging
20131
17 20134
18 20121
19 201126
20 20102

About Mário Antunes

Mário Antunes is a scholar working on Health Informatics, Artificial Intelligence and Information Systems, having authored 47 papers that have together received 324 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Information and Cyber Security (8 papers), Data Stream Mining Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers), Digital Media Forensic Detection (5 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Information Systems (119 citations), Computer Science Applications (24 citations) and Computer Networks and Communications (92 citations). Mário Antunes has collaborated with scholars based in Portugal, Ireland and Spain. Frequent co-authors include Catarina Silva, Bernardete Ribeiro, Joana Cósta, Manuel E. Correia, Carina Silva, João Falcão e Cunha, João Veríssimo, Rafael José Vieira, Luís Oliveira and Niketa Gandhi. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Advances in experimental medicine and biology.

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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