A Component-Based Integrated Toolkit. - Enric Tejedor; Rosa M. Badia; Thilo Kielmann; Vladimir Getov (CoreGRID Workshop - Making Grids Work, 2007)

COMP Superscalar: Bringing GRID Superscalar and GCM Together. - Enric Tejedor; Rosa M. Badia (CCGRID, 2008)

XtreemOS Application Execution Management: A scalable approach. - Ramon Nou; Jacobo Giralt; Julita Corbalán; Enric Tejedor; Josep Oriol Fitó; Josep M. Pérez; Toni Cortes (GRID, 2010)

Enabling HMMER for the Grid with COMP Superscalar. - Enric Tejedor; Rosa M. Badia; Romina Royo; Josep Lluis Gelpí (ICCS, 2010)

A Cloud-unaware Programming Model for Easy Development of Composite Services. - Enric Tejedor; Jorge Ejarque; Francesc Lordan; Roger Rafanell; Javier Álvarez 001; Daniele Lezzi; Raül Sirvent; Rosa M. Badia (CloudCom, 2011)

Exploiting Inherent Task-Based Parallelism in Object-Oriented Programming. - Enric Tejedor; Francesc Lordan; Rosa M. Badia (GRID, 2011)

ClusterSs: a task-based programming model for clusters. - Enric Tejedor; Montse Farreras; David Grove; Rosa M. Badia; Gheorghe Almási 001; Jesús Labarta (HPDC, 2011)

A high-productivity task-based programming model for clusters. - Enric Tejedor; Montse Farreras; David Grove; Rosa M. Badia; Gheorghe Almási 001; Jesús Labarta (Concurr. Comput. Pract. Exp., 2012)

Programming and parallelising applications for distributed infrastructures. - Enric Tejedor (2013)

ServiceSs: An Interoperable Programming Framework for the Cloud. - Francesc Lordan; Enric Tejedor; Jorge Ejarque; Roger Rafanell; Javier Álvarez 001; Fabrizio Marozzo; Daniele Lezzi; Raül Sirvent; Domenico Talia; Rosa M. Badia (J. Grid Comput., 2014)

Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids. - Enric Tejedor; Javier Álvarez 001; Rosa M. Badia (Comput. Informatics, 2016)

PyCOMPSs: Parallel computational workflows in Python. - Enric Tejedor; Yolanda Becerra 001; Guillem Alomar; Anna Queralt; Rosa M. Badia; Jordi Torres; Toni Cortes; Jesús Labarta (Int. J. High Perform. Comput. Appl., 2017)

Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment. - Valentina Avati; Milosz Blaszkiewicz; Enrico Bocchi; Luca Canali; Diogo Castro; Javier Cervantes; Leszek Grzanka; Enrico Guiraud; Jan Kaspar; Prasanth Kothuri; Massimo Lamanna; Maciej Malawski; et al. (UCC Companion, 2018)

Increasing Parallelism in the ROOT I/O Subsystem. - Guilherme Amadio; Brian Bockelman; Philippe Canal; Danilo Piparo; Enric Tejedor; Zhe Zhang 003 (CoRR, 2018)

SWAN: A service for interactive analysis in the cloud. - Danilo Piparo; Enric Tejedor; Pere Mato; Luca Mascetti; Jakub T. Moscicki; Massimo Lamanna (Future Gener. Comput. Syst., 2018)

Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case. - Valentina Avati; Milosz Blaszkiewicz; Enrico Bocchi; Luca Canali; Diogo Castro; Javier Cervantes; Leszek Grzanka; Enrico Guiraud; Jan Kaspar; Prasanth Kothuri; Massimo Lamanna; Maciej Malawski; et al. (Euro-Par, 2019)

Distributed Parallel Analysis Engine for High Energy Physics Using AWS Lambda. - Jacek Kusnierz; Maciej Malawski; Vincenzo Eduardo Padulano; Enric Tejedor Saavedra; Pedro Alonso-Jordá (HiPS@HPDC, 2021)

A Serverless Engine for High Energy Physics Distributed Analysis. - Jacek Kusnierz; Vincenzo Eduardo Padulano; Maciej Malawski; Kamil Burkiewicz; Enric Tejedor Saavedra; Pedro Alonso-Jordá; Michael Pitt; Valentina Avati (CCGRID, 2022)

Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. - Vincenzo Eduardo Padulano; Ivan Donchev Kabadzhov; Enric Tejedor Saavedra; Enrico Guiraud; Pedro Alonso-Jordá (J. Grid Comput., 2023)

Leveraging an open source serverless framework for high energy physics computing. - Vincenzo Eduardo Padulano; Pablo Oliver Cortés; Pedro Alonso-Jordá; Enric Tejedor Saavedra; Sebastián Risco; Germán Moltó (J. Supercomput., 2023)

A caching mechanism to exploit object store speed in High Energy Physics analysis. - Vincenzo Eduardo Padulano; Enric Tejedor Saavedra; Pedro Alonso-Jordá; Javier López-Gómez; Jakob Blomer (Clust. Comput., 2023)

Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. - Tommaso Tedeschi; Vincenzo Eduardo Padulano; Daniele Spiga; Diego Ciangottini; Mirco Tracolli; Enric Tejedor Saavedra; Enrico Guiraud; Massimo Biasotto (Comput. Phys. Commun., 2024)