Marco Vieira

5.4k citations
223 papers · 3.4k indexed · h-index 28

Marco Vieira

200 papers receiving 3.2k citations

Peers

Marco Vieira
Comparison fields: 5 of 89
  • Software 754
  • Information Systems 1.9k
  • Signal Processing 749
  • Obstetrics and Gynecology 532
  • Reproductive Medicine 559
Replace Xiaofei Xie with:
Xiaofei Xie Singapore
Asaf Shabtai Israel
Bahman Arasteh Iran
Chakkrit Tantithamthavorn Australia
Ivano Malavolta Netherlands
Bing Xie China
He Jiang China
Lin Tan Canada
Duminda Wijesekera United States
Peter Mell United States
Marco Vieira relative to Xiaofei Xie Singapore Xiaofei Xie's profile →
Citations per field
00.5×20×40×59.1×
Xiaofei Xie · 1×
Citations per year

Countries citing papers authored by Marco Vieira

Since Specialization
Citations

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

Fields of papers citing papers by Marco Vieira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20241
5 20240
6 20240
7 202310
8 20231
9 20231
10 20230
11 20222
12 20211
13 201911
14 201912
15 201870
16
Consolidated View on Space Software Engineering Problems - An Empirical Study
20151
17
Challenges in Implementing CMMI High Maturity: Lessons Learned and Recommendations
20130
18 201117
19
Deploying fault tolerant web service compositions.
20083
20
TACID transactions
20051

About Marco Vieira

Marco Vieira is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 223 papers that have together received 3.4k indexed citations. Recurring topics across this work include Software System Performance and Reliability (73 papers), Software Reliability and Analysis Research (56 papers), Security and Verification in Computing (47 papers), Software Engineering Research (45 papers), Web Application Security Vulnerabilities (44 papers), Network Security and Intrusion Detection (40 papers), Advanced Software Engineering Methodologies (29 papers) and Advanced Malware Detection Techniques (29 papers). The work is most often cited by research in Software (754 citations), Information Systems (1.9k citations) and Signal Processing (749 citations). Marco Vieira has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Henrique Madeira, Nuno Antunes, José Fonseca, Nuno Laranjeiro, Arnaud Fauconnier, Jean Dubuisson, C. Chapron, B. Dousset, Habib Barakat and Vittorio Pansini. Their work appears in journals such as IEEE Access, Human Reproduction and ACM Computing Surveys.

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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