Miguel Matos

505 total citations
40 papers, 241 citations indexed

About

Miguel Matos is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Miguel Matos has authored 40 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 17 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Miguel Matos's work include Peer-to-Peer Network Technologies (19 papers), Cloud Computing and Resource Management (12 papers) and Caching and Content Delivery (12 papers). Miguel Matos is often cited by papers focused on Peer-to-Peer Network Technologies (19 papers), Cloud Computing and Resource Management (12 papers) and Caching and Content Delivery (12 papers). Miguel Matos collaborates with scholars based in Portugal, Switzerland and Brazil. Miguel Matos's co-authors include Rui Oliveira, Luı́s Rodrigues, José Pereira, João Paulo, Valerio Schiavoni, Pascal Felber, Étienne Rivière, Carlos Montez, Rodrigo Rodrigues and Pierre Sutra and has published in prestigious journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Miguel Matos

35 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miguel Matos Portugal	8	196	148	43	15	13	40	241
Fetahi Wuhib Sweden	10	346 1.8×	252 1.7×	38 0.9×	18 1.2×	5 0.4×	33	385
Wolfgang Theilmann Germany	6	182 0.9×	110 0.7×	68 1.6×	28 1.9×	9 0.7×	12	227
Nguyen Trung Hieu Finland	6	306 1.6×	311 2.1×	32 0.7×	14 0.9×	14 1.1×	10	355
Marcelo Pasin Switzerland	8	207 1.1×	180 1.2×	68 1.6×	16 1.1×	10 0.8×	27	257
Péter Mátray Hungary	10	216 1.1×	97 0.7×	70 1.6×	14 0.9×	5 0.4×	17	257
Shengmei Luo China	6	72 0.4×	125 0.8×	71 1.7×	5 0.3×	11 0.8×	18	170
Johann Schleier-Smith United States	4	244 1.2×	240 1.6×	47 1.1×	19 1.3×	26 2.0×	7	309
Christophe Bidan France	9	154 0.8×	95 0.6×	119 2.8×	12 0.8×	24 1.8×	22	221
Ryohei Banno Japan	11	260 1.3×	216 1.5×	39 0.9×	3 0.2×	30 2.3×	36	340
Wesam Dawoud Germany	5	134 0.7×	181 1.2×	56 1.3×	22 1.5×	9 0.7×	12	221

Countries citing papers authored by Miguel Matos

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Matos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Matos. A scholar is included among the top collaborators of Miguel Matos 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 Miguel Matos. Miguel Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Matos, Miguel, et al.. (2025). No Two Snowflakes Are Alike: Studying eBPF Libraries' Performance, Fidelity and Resource Usage. 31–37.

Matos, Miguel, et al.. (2024). Kollaps: Decentralized and Efficient Network Emulation for Large-Scale Systems. 33(1). 35–50.

Matos, Miguel, et al.. (2023). Mumak: Efficient and Black-Box Bug Detection for Persistent Memory. 734–750. 2 indexed citations

Amaral, Miguel, et al.. (2020). FaultSee: Reproducible Fault Injection in Distributed Systems. 10777. 25–32.

Kropf, Peter, et al.. (2019). THUNDERSTORM: A Tool to Evaluate Dynamic Network Topologies on Distributed Systems. 8. 241–24109. 2 indexed citations

Rodrigues, Luı́s, et al.. (2019). Hourglass. 1–16. 9 indexed citations

Paulo, João, et al.. (2017). A Practical Framework for Privacy-Preserving NoSQL Databases. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 11–20. 8 indexed citations

Barbosa, Manuel, Sonia Ben Mokhtar, Pascal Felber, et al.. (2017). SAFETHINGS: Data Security by Design in the IoT. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 117–120. 4 indexed citations

Matos, Miguel, Hugues Mercier, Pascal Felber, Rui Oliveira, & José Pereira. (2015). EpTO. 100–111. 3 indexed citations

10.

Matos, Miguel, et al.. (2014). A peer-to-peer service architecture for the Smart Grid. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–5. 7 indexed citations

11.

Matos, Miguel, et al.. (2014). DATAFLASKS: Epidemic Store for Massive Scale Systems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 79–88. 2 indexed citations

12.

Felber, Pascal, Marcelo Pasin, Étienne Rivière, et al.. (2014). On the Support of Versioning in Distributed Key-Value Stores. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 95–104. 6 indexed citations

13.

Matos, Miguel, Pascal Felber, Rui Oliveira, José Pereira, & Étienne Rivière. (2013). Scaling Up Publish/Subscribe Overlays Using Interest Correlation for Link Sharing. IEEE Transactions on Parallel and Distributed Systems. 24(12). 2462–2471. 3 indexed citations

14.

Matos, Miguel, et al.. (2013). MeT. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 183–196. 46 indexed citations

15.

Matos, Miguel, Valerio Schiavoni, Pascal Felber, Rui Oliveira, & Étienne Rivière. (2012). BRISA: Combining Efficiency and Reliability in Epidemic Data Dissemination. RepositóriUM (Universidade do Minho). 2218. 983–994. 4 indexed citations

16.

Matos, Miguel, et al.. (2011). Worldwide consensus. 257–269. 5 indexed citations

17.

Matos, Miguel, et al.. (2010). StAN: exploiting shared interests without disclosing them in gossip-based publish/subscribe. RepositóriUM (Universidade do Minho). 9–9. 11 indexed citations

18.

Matos, Miguel, et al.. (2009). CLON. 14–17. 4 indexed citations

19.

Matos, Miguel, José Pereira, & Rui Oliveira. (2008). Self tuning with self confidence. RepositóriUM (Universidade do Minho). 2 indexed citations

20.

Matos, Miguel, et al.. (2008). Serpentine. RepositóriUM (Universidade do Minho). 2219–2223. 4 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.

Explore authors with similar magnitude of impact