Mário S. Alvim
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Security and Verification in Computing
- Cryptography and Data Security
Papers in
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- Privacy-Preserving Technologies in Data 8
- Security and Verification in Computing 5
- Internet Traffic Analysis and Secure E-voting 4
- Text and Document Classification Technologies 2
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- Network Security and Intrusion Detection 4
- Co-authors
- Catuscia Palamidessi (7 shared papers)Konstantinos Chatzikokolakis (6 shared papers)M.C.S. Ribeiro (1 shared paper)Maria de Lurdes Dinis (1 shared paper)João Paulo Meixedo (1 shared paper)António Fiúza (1 shared paper)A.J.M. Ferreira (1 shared paper)A C Meira Castro (1 shared paper)
In The Last Decade
Mário S. Alvim
27 papers receiving 279 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 143
- Industrial and Manufacturing Engineering 24
- Signal Processing 28
- Transportation 16
- Polymers and Plastics 29
Countries citing papers authored by Mário S. Alvim
This map shows the geographic impact of Mário S. Alvim'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 S. Alvim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mário S. Alvim more than expected).
Fields of papers citing papers by Mário S. Alvim
This network shows the impact of papers produced by Mário S. Alvim. 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 S. Alvim. The network helps show where Mário S. Alvim may publish in the future.
Co-authors
The 25 scholars most cited alongside Mário S. Alvim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2017 | 30 | |
| 3 | 2018 | 25 | |
| 4 | 2014 | 24 | |
| 5 | 2020 | 21 | |
| 6 | 2015 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2012 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 3 |
About Mário S. Alvim
Mário S. Alvim is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Civil and Structural Engineering and Information Systems, having authored 28 papers that have together received 286 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Security and Verification in Computing (5 papers), Privacy, Security, and Data Protection (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (143 citations), Industrial and Manufacturing Engineering (24 citations), Signal Processing (28 citations), Transportation (16 citations) and Polymers and Plastics (29 citations). Mário S. Alvim has collaborated with scholars based in Brazil, France and Australia. Frequent co-authors include Catuscia Palamidessi, Konstantinos Chatzikokolakis, M.C.S. Ribeiro, Maria de Lurdes Dinis, João Paulo Meixedo, António Fiúza, A.J.M. Ferreira, A C Meira Castro, Douglas G. Macharet and Mário F. M. Campos. Their work appears in journals such as Journal of Computer Security, Information Sciences, Journal of Intelligent & Robotic Systems, Logical Methods in Computer Science and Information Systems.
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.