Mário S. Alvim

1.2k total citations
28 papers, 286 citations indexed

About

Mário S. Alvim is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Mário S. Alvim has authored 28 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Sociology and Political Science. Recurrent topics in Mário S. Alvim's work include Privacy-Preserving Technologies in Data (8 papers), Security and Verification in Computing (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Mário S. Alvim is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Security and Verification in Computing (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Mário S. Alvim collaborates with scholars based in Brazil, France and Australia. Mário S. Alvim's co-authors include Catuscia Palamidessi, Konstantinos Chatzikokolakis, João Paulo Meixedo, António Fiúza, A.J.M. Ferreira, A C Meira Castro, M.C.S. Ribeiro, Maria de Lurdes Dinis, Douglas G. Macharet and Mário F. M. Campos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Theoretical Computer Science.

In The Last Decade

Mário S. Alvim

27 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mário S. Alvim Brazil 9 143 38 37 36 34 28 286
Reza Zamani Australia 13 58 0.4× 9 0.2× 57 1.5× 35 1.0× 4 0.1× 34 453
Lijun Sun China 10 53 0.4× 18 0.5× 45 1.2× 46 1.3× 7 0.2× 34 359
Sainan Zhang China 12 56 0.4× 20 0.5× 26 0.7× 81 2.3× 4 0.1× 31 383
Allam Maalla China 10 34 0.2× 15 0.4× 65 1.8× 19 0.5× 7 0.2× 43 282
Alhanouf Alburaikan Saudi Arabia 11 50 0.3× 8 0.2× 35 0.9× 18 0.5× 3 0.1× 47 343
Muralidhar Nayak Bhukya India 10 144 1.0× 8 0.2× 49 1.3× 21 0.6× 4 0.1× 23 495
Laura Arjona Spain 8 22 0.2× 13 0.3× 29 0.8× 109 3.0× 6 0.2× 26 394
M. Sreenivasa Rao India 12 41 0.3× 43 1.1× 139 3.8× 8 0.2× 3 0.1× 37 336
Divya Midhunchakkaravarthy Malaysia 10 56 0.4× 19 0.5× 14 0.4× 90 2.5× 7 0.2× 45 251

Countries citing papers authored by Mário S. Alvim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mário S. Alvim

This figure shows the co-authorship network connecting the top 25 collaborators of Mário S. Alvim. A scholar is included among the top collaborators of Mário S. Alvim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mário S. Alvim. Mário S. Alvim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alvim, Mário S., et al.. (2024). The Privacy-Utility Trade-off in the Topics API. 1106–1120.
2.
Alvim, Mário S., et al.. (2023). A Formal Model for Polarization under Confirmation Bias in Social Networks. Logical Methods in Computer Science. Volume 19, Issue 1. 1 indexed citations
3.
Alvim, Mário S., et al.. (2023). A Quantitative Information Flow Analysis of the Topics API. 123–127. 2 indexed citations
4.
Alvim, Mário S., et al.. (2022). A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study. Proceedings on Privacy Enhancing Technologies. 2022(4). 608–625. 1 indexed citations
5.
Alvim, Mário S., et al.. (2022). Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata. Proceedings on Privacy Enhancing Technologies. 2022(4). 378–399. 4 indexed citations
6.
Alvim, Mário S., et al.. (2022). A formal quantitative study of privacy in the publication of official educational censuses in Brazil. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 61–70. 2 indexed citations
7.
Viana, Aline Carneiro, et al.. (2021). The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility. ACM Transactions on Spatial Algorithms and Systems. 7(4). 1–24. 10 indexed citations
8.
Viegas, Felipe, Mário S. Alvim, Sérgio Canuto, et al.. (2020). Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. Information Systems. 94. 101606–101606. 21 indexed citations
9.
Ferreira, Enrique, et al.. (2020). BRAZILDAM: A BENCHMARK DATASET FOR TAILINGS DAM DETECTION. SHILAP Revista de lepidopterología. XLII-3/W12-2020. 343–348. 1 indexed citations
10.
Alvim, Mário S., Konstantinos Chatzikokolakis, Annabelle McIver, et al.. (2020). The Science of Quantitative Information Flow. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
11.
Alvim, Mário S., et al.. (2020). Brazildam: A Benchmark Dataset For Tailings Dam Detection. 339–344. 10 indexed citations
12.
Alvim, Mário S.. (2019). The Art of Modelling Computational Systems: A Journey from Logic and Concurrency to Security and Privacy. Lecture notes in computer science. 8 indexed citations
13.
Alvim, Mário S., Konstantinos Chatzikokolakis, Yusuke Kawamoto, & Catuscia Palamidessi. (2018). A Game-Theoretic Approach to Information-Flow Control via Protocol Composition. Entropy. 20(5). 382–382. 5 indexed citations
14.
Alvim, Mário S., Konstantinos Chatzikokolakis, Annabelle McIver, et al.. (2018). An axiomatization of information flow measures. Theoretical Computer Science. 777. 32–54. 8 indexed citations
15.
Alvim, Mário S., et al.. (2017). Information-Driven Rapidly-Exploring Random Tree for Efficient Environment Exploration. Journal of Intelligent & Robotic Systems. 91(2). 313–331. 30 indexed citations
16.
Wu, Min, et al.. (2017). Proof-Carrying Sensing. 1–6. 3 indexed citations
17.
Alvim, Mário S., et al.. (2016). Compression-Based Selective Sampling for Learning to Rank. 247–256. 8 indexed citations
18.
Ribeiro, M.C.S., António Fiúza, A.J.M. Ferreira, et al.. (2016). Recycling Approach towards Sustainability Advance of Composite Materials’ Industry. Recycling. 1(1). 178–193. 82 indexed citations
19.
Mardziel, Piotr, Mário S. Alvim, Michael Hicks, & Michael R. Clarkson. (2014). Quantifying Information Flow for Dynamic Secrets. 540–555. 24 indexed citations
20.
Alvim, Mário S., Miguel E. Andrés, & Catuscia Palamidessi. (2012). Quantitative information flow in interactive systems. Journal of Computer Security. 20(1). 3–50. 6 indexed citations

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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