Parallel efficient aligner of pyrosequencing reads. - Miguel E. Coimbra; Francisco Fernandes; Luís M. S. Russo; Ana T. Freitas (EuroMPI, 2013)

Data Management in Metagenomics: A Risk Management Approach. - Filipe Ferreira; Miguel E. Coimbra; Raquel Bairrão; Ricardo Viera; Ana T. Freitas; Luís M. S. Russo; José Borbinha (Int. J. Digit. Curation, 2014)

Gelly-Scheduling: Distributed Graph Processing for Network Service Placement. - Miguel E. Coimbra; Alexandre P. Francisco; Luís Veiga (CoRR, 2017)

Study on Resource Efficiency of Distributed Graph Processing. - Miguel E. Coimbra; Alexandre P. Francisco; Luís Veiga (CoRR, 2017)

Gelly-scheduling: distributed graph processing for service placement in community networks. - Miguel E. Coimbra; Mennan Selimi; Alexandre P. Francisco; Felix Freitag; Luís Veiga (SAC, 2018)

GraphBolt: Streaming Graph Approximations on Big Data. - Miguel E. Coimbra; Renato Rosa; Sérgio Esteves; Alexandre P. Francisco; Luís Veiga (CoRR, 2018)

Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing. - Miguel E. Coimbra; Alexandre P. Francisco; Luís Veiga (CoRR, 2019)

On Dynamic Succinct Graph Representations. - Miguel E. Coimbra; Alexandre P. Francisco; Luís M. S. Russo; Guillermo de Bernardo; Susana Ladra; Gonzalo Navarro 001 (DCC, 2020)

Smart Distributed DataSets for Stream Processing. - Tiago Lopes; Miguel E. Coimbra; Luís Veiga (Euro-Par, 2021)

An analysis of the graph processing landscape. - Miguel E. Coimbra; Alexandre P. Francisco; Luís Veiga (J. Big Data, 2021)

PK-Graph: Partitioned k2-Trees to Enable Compact and Dynamic Graphs in SparkGraphX. - Bruno Morais; Miguel E. Coimbra; Luís Veiga (CoopIS, 2022)

A practical succinct dynamic graph representation. - Miguel E. Coimbra; Joana Hrotkó; Alexandre P. Francisco; Luís M. S. Russo; Guillermo de Bernardo; Susana Ladra; Gonzalo Navarro 001 (Inf. Comput., 2022)

VeilGraph: incremental graph stream processing. - Miguel E. Coimbra; Sérgio Esteves; Alexandre P. Francisco; Luís Veiga (J. Big Data, 2022)

Stateful Adaptive Streams with Approximate Computing and Elastic Scaling. - João Francisco; Miguel E. Coimbra; Pedro Fernandes Ribeiro Neto; Felix Freitag; Luís Veiga (SAC, 2023)

phyloDB: A framework for large-scale phylogenetic analysis. - Bruno Lourenço; Cátia Vaz; Miguel E. Coimbra; Alexandre P. Francisco (CoRR, 2023)

Efficient Static Vulnerability Analysis for JavaScript with Multiversion Dependency Graphs. - Mafalda Ferreira; Miguel Monteiro; Tiago Brito; Miguel E. Coimbra; Nuno Santos 001; Limin Jia 001; José Fragoso Santos (Proc. ACM Program. Lang., 2024)

phyloDB: A framework for large-scale phylogenetic analysis of sequence based typing data. - Bruno Lourenço; Cátia Vaz; Miguel E. Coimbra; Alexandre P. Francisco (SoftwareX, 2024)

Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses. - Rodrigo Pedro; Miguel E. Coimbra; Daniel Castro 004; Paulo Carreira 001; Nuno Santos 001 (ICSE, 2025)

Automated Exploit Generation for Node.js Packages. - Filipe Marques; Mafalda Ferreira; André Nascimento; Miguel E. Coimbra; Nuno Santos 001; Limin Jia 001; José Fragoso Santos (Proc. ACM Program. Lang., 2025)

Survey: Graph Databases. - Miguel E. Coimbra; Lucie Svitáková; Alexandre P. Francisco; Luís Veiga (CoRR, 2025)