WINPAR - Windows-based Parallel Computing. - Andreas Bäcker; Dino Ahr; Ottmar Krämer-Fuhrmann; Róbert Lovas; Hermann Mierendorff; Helmut Schwamborn; João Gabriel Silva; Klaus Wolf (PARCO, 1997)

GRADE: a Graphical Programming Environment for Multicomputers. - Péter Kacsuk; Gábor Dózsa; Tibor Fadgyas; Róbert Lovas (Comput. Artif. Intell., 1998)

Systematic Debugging of Parallel Programs in DIWIDE Based on Collective Breakpoints and Macrosteps. - Péter Kacsuk; Róbert Lovas; József Kovács (Euro-Par, 1999)

The GRED graphical editor for the GRADE parallel program development environment. - Péter Kacsuk; Gábor Dózsa; Tibor Fadgyas; Róbert Lovas (Future Gener. Comput. Syst., 1999)

Translation of a High-Level Graphical Code to Message-Passing Primitives in the GRADE Programming Environment. - Gábor Dózsa; Dániel Drótos; Róbert Lovas (PVM/MPI, 2000)

A Metadebugger Prototype for the HARNESS Metacomputing Framework. - Róbert Lovas; Vaidy S. Sunderam (HPDC, 2001)

Extension of Macrostep Debugging Methodology Towards Metacomputing Applications. - Róbert Lovas; Vaidy S. Sunderam (International Conference on Computational Science (1), 2001)

Integrating Temporal Assertions into a Parallel Debugger. - József Kovács; Gábor Kusper; Róbert Lovas; Wolfgang Schreiner (Euro-Par, 2002)

Debugging of Metacomputing Applications. - Róbert Lovas; Vaidy S. Sunderam (IPDPS, 2002)

Demonstration of P-GRADE Job-Mode for the Grid. - Péter Kacsuk; Róbert Lovas; József Kovács; Ferenc Szalai; Gabor Gombás; Norbert Podhorszki; Ákos Horváth 003; András Horányi; Imre Szeberényi; Thierry Delaitre; Gábor Terstyánszky; Agathocles Gourgoulis (Euro-Par, 2003)

P-GRADE: A Grid Programming Environment. - Péter Kacsuk; Gábor Dózsa; József Kovács; Róbert Lovas; Norbert Podhorszki; Zoltán Balaton; Gabor Gombás (J. Grid Comput., 2003)

Integration of Formal Verification and Debugging Methods in P-GRADE Environment. - Róbert Lovas; Bertalan Vécsei (DAPSYS, 2004)

Workflow Support for Complex Grid Applications: Integrated and Portal Solutions. - Róbert Lovas; Gábor Dózsa; Péter Kacsuk; Norbert Podhorszki; Dániel Drótos (European Across Grids Conference, 2004)

Unified Development Solution for Cluster and Grid Computing and Its Application in Chemistry. - Róbert Lovas; Péter Kacsuk; István Lagzi; Tamás Turányi (ICCSA (2), 2004)

The P-GRADE Grid Portal. - Csaba Németh; Gábor Dózsa; Róbert Lovas; Péter Kacsuk (ICCSA (2), 2004)

Air Pollution Forecast on the HUNGRID Infrastructure. - Róbert Lovas; J. Patvarczki; Péter Kacsuk; István Lagzi; Tamás Turányi; L. Kullman; László Haszpra; Róbert Mészáros; András Horányi; Ákos Bencsura; György Lendvay (PARCO, 2005)

Application of p-grade development environment in meteorology. - Róbert Lovas; Péter Kacsuk; Ákos Horváth 003; András Horányi (Scalable Comput. Pract. Exp., 2005)

Correctness Debugging of Message Passing Programs Using Model Verification Techniques. - Róbert Lovas; Péter Kacsuk (PVM/MPI, 2007)

EDGeS: A Bridge between Desktop Grids and Service Grids. - Gilles Fedak; Haiwu He; Oleg Lodygensky; Zoltán Balaton; Zoltán Farkas; Gabor Gombás; Péter Kacsuk; Róbert Lovas; Csaba Attila Marosi; Ian Kelley; Ian J. Taylor; Gábor Terstyánszky; et al. (ChinaGrid, 2008)

EdgES: the Common Boundary between Service and Desktop Grids. - Zoltán Balaton; Zoltán Farkas; Gabor Gombás; Péter Kacsuk; Róbert Lovas; Csaba Attila Marosi; Ad Emmen; Gábor Terstyánszky; Tamás Kiss; Ian Kelley; Ian J. Taylor; Oleg Lodygensky; et al. (Parallel Process. Lett., 2008)

EDGeS: Bridging EGEE to BOINC and XtremWeb. - Etienne Urbah; Péter Kacsuk; Zoltán Farkas; Gilles Fedak; Gabor Kecskemeti; Oleg Lodygensky; Csaba Attila Marosi; Zoltán Balaton; Gabriel Caillat; Gabor Gombás; Adam Kornafeld; József Kovács; et al. (J. Grid Comput., 2009)

Development of a grid enabled chemistry application. - István Lagzi; Tamás Turányi; Róbert Lovas (Int. J. Comput. Sci. Eng., 2009)

WS-PGRADE/gUSE in European Projects. - Tamás Kiss; Péter Kacsuk; Róbert Lovas; Ákos Balaskó; Alessandro Spinuso; Malcolm P. Atkinson 001; Daniele D'Agostino; Emanuele Danovaro; Michael Schiffers (Science Gateways for Distributed Computing Infrastructures, 2014)

Supporting Agricultural Communities with Workflows on Heterogeneous Computing Resources. - Ákos Balaskó; Róbert Lovas; Mark Gergely; Nikos Manolis (IWSG, 2014)

Crowd computing to support EGI scientists. - József Kovács; Róbert Lovas (MIPRO, 2014)

Boosting gLite with cloud augmented volunteer computing. - József Kovács; Csaba Attila Marosi; Ádám Visegrádi; Zoltán Farkas; Péter Kacsuk; Róbert Lovas (Future Gener. Comput. Syst., 2015)

An Adaptive Cloud-Based IoT Back-end Architecture and Its Applications. - Attila Csaba Marosi; Attila Farkas; Róbert Lovas (PDP, 2018)

Cloud agnostic Big Data platform focusing on scalability and cost-efficiency. - Róbert Lovas; Eniko Nagy; József Kovács (Adv. Eng. Softw., 2018)

Orchestrated Platform for Cyber-Physical Systems. - Róbert Lovas; Attila Farkas; Attila Csaba Marosi; Sándor Ács; József Kovács; Ádám Szalóki; Botond Kádár (Complex., 2018)

Agrodat: A Knowledge Centre and Decision Support System for Precision Farming Based on IoT and Big Data Technologies. - Róbert Lovas; Krisztián Koplányi; Gábor Élö (ERCIM News, 2018)

ENTICE VM Image Analysis and Optimised Fragmentation. - Ákos Hajnal; Gabor Kecskemeti; Attila Csaba Marosi; József Kovács; Péter Kacsuk; Róbert Lovas (J. Grid Comput., 2018)

Editorial for the Special Issue on In-Memory Computing. - Xipeng Shen; Róbert Lovas; Xiaofei Liao (J. Parallel Distributed Comput., 2018)

Reference Architectures for Cloud-based Platforms: Convergence vs. Diversification. - Róbert Lovas (IoTBDS, 2020)

Special Issue: Graph Computing. - Hai Jin 001; Xipeng Shen; Róbert Lovas; Xiaofei Liao (Concurr. Comput. Pract. Exp., 2020)

Evaluation of GPU Virtualisation Approaches for Machine Learning Enhanced Debugging of Cloud Orchestration. - Márk Emodi; József Kovács; Róbert Lovas; Sándor Szénási (SACI, 2021)

Cloud-agnostic architectures for machine learning based on Apache Spark. - Eniko Nagy; Róbert Lovas; Istvan Pintye; Ákos Hajnal; Péter Kacsuk (Adv. Eng. Softw., 2021)

Big data and machine learning framework for clouds and its usage for text classification. - Istvan Pintye; Eszter Kail; Péter Kacsuk; Róbert Lovas (Concurr. Comput. Pract. Exp., 2021)

Reference Architecture for IoT Platforms towards Cloud Continuum based on Apache Kafka and Orchestration Methods. - Zoltán Farkas; Róbert Lovas (IoTBDS, 2022)

Evolutionary approach for neural network based agents applied on time series data in the Cloud. - Istvan Pintye; József Kovács; Róbert Lovas (SACI, 2022)

Toward Reference Architectures: A Cloud-Agnostic Data Analytics Platform Empowering Autonomous Systems. - Attila Csaba Marosi; Márk Emodi; Attila Farkas; Róbert Lovas; Richárd Beregi; Gianfranco Pedone; Balázs Németh 001; Péter Gáspár (IEEE Access, 2022)

Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing. - Attila Csaba Marosi; Márk Emodi; Ákos Hajnal; Róbert Lovas; Tamás Kiss; Valerie Poser; Jibinraj Antony; Simon Bergweiler; Hamed Hamzeh; James Deslauriers; József Kovács (Future Internet, 2022)

Uniformity Correction of CMOS Image Sensor Modules for Machine Vision Cameras. - Gabor Szedo Becker; Róbert Lovas (Sensors, 2022)

Vectorisation of Program Codes for Machine Learning Based Resource Estimation. - András Kovács; Sándor Szénási; Róbert Lovas (SACI, 2023)

Experiences With Deep Learning Enhanced Steering Mechanisms for Debugging of Fundamental Cloud Services. - Róbert Lovas; Erno Rigó; Dániel Unyi; Bálint Gyires-Tóth (IEEE Access, 2023)

Toward a Quantum-Science Gateway: A Hybrid Reference Architecture Facilitating Quantum Computing Capabilities for Cloud Utilization. - Attila Csaba Marosi; Attila Farkas; Tamás Máray; Róbert Lovas (IEEE Access, 2023)

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. - Tamás Kiss; Amjad Ullah; Gábor Terstyánszky; Odej Kao; Sören Becker 001; Yiannis Verginadis; Antonis Michalas; Vlado Stankovski; Attila Kertész; Elisa Ricci 001; Jörn Altmann; Bernhard Egger 002; et al. (AINA (5), 2024)

Automated Debugging Mechanisms for Orchestrated Cloud Infrastructures With Active Control and Global Evaluation. - József Kovács; Bence Ligetfalvi; Róbert Lovas (IEEE Access, 2024)

Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration. - Istvan Pintye; József Kovács; Róbert Lovas (J. Grid Comput., 2024)