Marcelo Pias

3.6k total citations · 3 hit papers
46 papers, 1.9k citations indexed

About

Marcelo Pias is a scholar working on Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Marcelo Pias has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Marcelo Pias's work include Peer-to-Peer Network Technologies (5 papers), Teaching and Learning Programming (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). Marcelo Pias is often cited by papers focused on Peer-to-Peer Network Technologies (5 papers), Teaching and Learning Programming (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). Marcelo Pias collaborates with scholars based in Brazil, United Kingdom and United States. Marcelo Pias's co-authors include Jon Crowcroft, Eng Keong Lua, Ravi Sharma, seongwon lim, Salman Taherian, Vincent T. van Hees, Ulf Ekelund, Søren Brage, Emmanuel Dean‐Leon and Paul W. Franks and has published in prestigious journals such as PLoS ONE, Communications of the ACM and IEEE Communications Surveys & Tutorials.

In The Last Decade

Marcelo Pias

31 papers receiving 1.8k citations

Hit Papers

A survey and comparison of peer-to-peer overlay network s... 2005 2026 2012 2019 2005 2013 2024 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey and comparison of peer-to-peer overlay network schemes
    2005 871 citations Eng Keong Lua, Jon Crowcroft et al. profile →
  2. Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity
    2013 616 citations Vincent T. van Hees, Lukas Gorzelniak et al. PLoS ONE profile →
  3. Computer Science Curricula 2023
    2024 59 citations Michael Goldweber, Marcelo Pias et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo Pias Brazil 12 993 384 311 204 147 46 1.9k
Juan Li United States 22 458 0.5× 118 0.3× 79 0.3× 159 0.8× 334 2.3× 116 1.8k
William Johnston Ireland 18 361 0.4× 63 0.2× 101 0.3× 169 0.8× 104 0.7× 79 1.2k
Jonathan Lester United States 16 284 0.3× 112 0.3× 85 0.3× 159 0.8× 221 1.5× 33 1.5k
David Wood United States 25 656 0.7× 207 0.5× 74 0.2× 126 0.6× 309 2.1× 100 2.7k
Parminder Flora Canada 24 1.0k 1.0× 160 0.4× 333 1.1× 783 3.8× 299 2.0× 57 1.8k
Juha Pärkkä Finland 20 376 0.4× 207 0.5× 122 0.4× 84 0.4× 214 1.5× 42 2.4k
Aart van Halteren Netherlands 19 303 0.3× 82 0.2× 231 0.7× 147 0.7× 68 0.5× 77 1.3k
Hua Fang United States 24 663 0.7× 121 0.3× 111 0.4× 470 2.3× 391 2.7× 106 2.2k
Bruno M. C. Silva Portugal 15 346 0.3× 106 0.3× 179 0.6× 225 1.1× 121 0.8× 41 1.6k
Mitja Luštrek Slovenia 25 223 0.2× 114 0.3× 64 0.2× 57 0.3× 439 3.0× 136 2.6k

Countries citing papers authored by Marcelo Pias

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Pias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Pias

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Pias. A scholar is included among the top collaborators of Marcelo Pias 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 Marcelo Pias. Marcelo Pias 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.
Macêdo, Raimundo José de Araújo, Marcelo Pias, Esteban Clua, et al.. (2025). A Brazilian Perspective on Computing for the Planet’s Sustainability. Communications of the ACM. 68(7). 96–101.
2.
Pias, Marcelo, et al.. (2025). On the scaling of digital twins by aggregation. Data & Policy. 7. 1 indexed citations
3.
Chowdhury, Morshed, et al.. (2025). Sleep Disorder Prediction System Using Machine Learning. 1–8.
4.
Müller, Larissa, Marcelo Borges Tesser, Juliane Ventura‐Lima, et al.. (2025). Evaluation of the Inclusion of the Seaweed Ulva lactuca Produced in an Integrated System with Biofloc in the Diet of Juvenile Tilapia Oreochromis niloticus. Applied Sciences. 15(12). 6410–6410. 1 indexed citations
5.
6.
Macêdo, Raimundo José de Araújo, Marcelo Pias, Liwan Liyanage, et al.. (2024). Digital Technologies for Environmental Sustainability. SPIRE - Sciences Po Institutional REpository.
7.
Teixeira, Thiago, Thiago de Melo Costa Pereira, Cristiana Lima Dora, et al.. (2024). On Efficient Data Sharing for Planetary Digital Twins: Distributed Microplastic Monitoring. Zenodo (CERN European Organization for Nuclear Research). 1–8.
8.
Ellis, Heidi J. C., Gregory W. Hislop, Michael Goldweber, et al.. (2024). Computing for Social Good in Education. ACM Inroads. 15(4). 47–57.
9.
Botelho, Sílvia Silva da Costa, et al.. (2024). Energy-Efficient LoRaWan Communication: Real-Time Applications in Aquaculture. Zenodo (CERN European Organization for Nuclear Research). 1–6.
10.
Pias, Marcelo, et al.. (2023). An Open-Source Framework Using WebRTC for Online Multiplayer Gaming. 143–150. 1 indexed citations
11.
Romano, Luís Alberto, et al.. (2023). Biological Responses of Oyster Crassostrea gasar Exposed to Different Concentrations of Biofloc. Fishes. 8(12). 586–586. 5 indexed citations
12.
Espíndola, Danúbia B., et al.. (2019). Developments in Educational Recommendation Systems: a systematic review. 1–7. 10 indexed citations
13.
Hees, Vincent T. van, Lukas Gorzelniak, Emmanuel Dean‐Leon, et al.. (2013). Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity. PLoS ONE. 8(4). e61691–e61691. 616 indexed citations breakdown →
14.
Harle, Robert, Salman Taherian, Marcelo Pias, et al.. (2011). Towards real-time profiling of sprints using wearable pressure sensors. Computer Communications. 35(6). 650–660. 24 indexed citations
15.
Taherian, Salman, Marcelo Pias, George Coulouris, & Jon Crowcroft. (2010). Profiling energy use in households and office spaces. 21–30. 20 indexed citations
16.
Kuntze, Gregor, Marcelo Pias, Ian Bezodis, et al.. (2009). CUSTOM-BUILT WIRELESS PRESSURE SENSING INSOLES FOR DETERMINING CONTACT-TIMES IN 60M MAXIMAL SPRINT RUNNING. ISBS - Conference Proceedings Archive. 1(1). 1 indexed citations
17.
Pias, Marcelo, Kuang Xu, Pan Hui, et al.. (2009). Sentient bikes for collecting mobility traces in opportunistic networks. The HKU Scholars Hub (University of Hong Kong). 1–6. 2 indexed citations
18.
Lua, Eng Keong, Timothy G. Griffin, Marcelo Pias, Han Zheng, & Jon Crowcroft. (2005). On the accuracy of embeddings for internet coordinate systems. 11–11. 91 indexed citations
19.
Lua, Eng Keong, Jon Crowcroft, & Marcelo Pias. (2004). Highways: proximity clustering for scalable peer-to-peer network. 266–267. 17 indexed citations
20.
Pias, Marcelo, Steve Wilbur, Saleem Bhatti, & Jon Crowcroft. (2004). Securing the Internet metering and billing. 2. 1603–1607. 3 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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