Miguel E. Coimbra

According to our database, Miguel E. Coimbra authored at least 20 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Survey: Graph Databases.

Miguel E. Coimbra, Lucie Svitáková, Alexandre P. Francisco, Luís Veiga

CoRR, May, 2025

Automated Exploit Generation for Node.js Packages.

Filipe Marques, Mafalda Ferreira, André Nascimento, Miguel E. Coimbra, Nuno Santos, Limin Jia, José Fragoso Santos

Proc. ACM Program. Lang., 2025

Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses.

Rodrigo Pedro, Miguel E. Coimbra, Daniel Castro, Paulo Carreira, Nuno Santos

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Efficient Static Vulnerability Analysis for JavaScript with Multiversion Dependency Graphs.

Mafalda Ferreira, Miguel Monteiro, Tiago Brito, Miguel E. Coimbra, Nuno Santos, Limin Jia, José Fragoso Santos

Proc. ACM Program. Lang., 2024

2023

phyloDB: A framework for large-scale phylogenetic analysis.

Bruno Lourenço, Cátia Vaz, Miguel E. Coimbra, Alexandre P. Francisco

CoRR, 2023

Stateful Adaptive Streams with Approximate Computing and Elastic Scaling.

João Francisco, Miguel E. Coimbra, Pedro Fernandes Ribeiro Neto, Felix Freitag, Luís Veiga

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

2022

VeilGraph: incremental graph stream processing.

Miguel E. Coimbra, Sérgio Esteves, Alexandre P. Francisco, Luís Veiga

J. Big Data, 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

Inf. Comput., 2022

PK-Graph: Partitioned k²-Trees to Enable Compact and Dynamic Graphs in SparkGraphX.

Bruno Morais, Miguel E. Coimbra, Luís Veiga

Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

2021

An analysis of the graph processing landscape.

Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga

J. Big Data, 2021

Smart Distributed DataSets for Stream Processing.

Tiago Lopes, Miguel E. Coimbra, Luís Veiga

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

On Dynamic Succinct Graph Representations.

Miguel E. Coimbra, Alexandre P. Francisco, Luís M. S. Russo, Guillermo de Bernardo, Susana Ladra, Gonzalo Navarro

Proceedings of the Data Compression Conference, 2020

2019

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

2018

GraphBolt: Streaming Graph Approximations on Big Data.

Miguel E. Coimbra, Renato Rosa, Sérgio Esteves, Alexandre P. Francisco, Luís Veiga

CoRR, 2018

Gelly-scheduling: distributed graph processing for service placement in community networks.

Miguel E. Coimbra, Mennan Selimi, Alexandre P. Francisco, Felix Freitag, Luís Veiga

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

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 Network Service Placement.

Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga

CoRR, 2017

2014

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

2013

Parallel efficient aligner of pyrosequencing reads.

Miguel E. Coimbra, Francisco Fernandes, Luís M. S. Russo, Ana T. Freitas

Proceedings of the 20th European MPI Users's Group Meeting, 2013