Paolo Gai

1.2k total citations
41 papers, 807 citations indexed

About

Paolo Gai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Paolo Gai has authored 41 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 4 papers in Control and Systems Engineering. Recurrent topics in Paolo Gai's work include Real-Time Systems Scheduling (36 papers), Embedded Systems Design Techniques (30 papers) and Parallel Computing and Optimization Techniques (21 papers). Paolo Gai is often cited by papers focused on Real-Time Systems Scheduling (36 papers), Embedded Systems Design Techniques (30 papers) and Parallel Computing and Optimization Techniques (21 papers). Paolo Gai collaborates with scholars based in Italy, Spain and Sweden. Paolo Gai's co-authors include Giuseppe Lipari, Marco Di Natale, Giorgio Buttazzo, Lúıs Almeida, Paulo Pedreiras, Luca Abeni, Maria Grazia De Giorgi, A. Ferrari, Giorgio Buttazzo and M. Violante and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, SAE technical papers on CD-ROM/SAE technical paper series and Electronic Notes in Theoretical Computer Science.

In The Last Decade

Paolo Gai

39 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Gai Italy 14 706 500 137 51 50 41 807
Frank Slomka Germany 13 530 0.8× 233 0.5× 243 1.8× 50 1.0× 82 1.6× 74 637
Sebastian Altmeyer Netherlands 19 965 1.4× 502 1.0× 155 1.1× 36 0.7× 52 1.0× 67 1.0k
Patricia Balbastre Spain 13 403 0.6× 220 0.4× 125 0.9× 41 0.8× 37 0.7× 54 473
Unmesh D. Bordoloi Sweden 12 386 0.5× 225 0.5× 114 0.8× 36 0.7× 84 1.7× 38 463
Julián Proenza Spain 14 463 0.7× 479 1.0× 200 1.5× 94 1.8× 115 2.3× 92 664
Nathan Fisher United States 17 929 1.3× 569 1.1× 211 1.5× 20 0.4× 90 1.8× 87 1.0k
Mikael Nolin Sweden 15 534 0.8× 286 0.6× 214 1.6× 45 0.9× 35 0.7× 44 653
Georg von der Brüggen Germany 13 439 0.6× 301 0.6× 114 0.8× 28 0.5× 33 0.7× 50 527
Geoffrey Nelissen Portugal 17 751 1.1× 512 1.0× 139 1.0× 38 0.7× 24 0.5× 73 841
G. Grünsteidl Austria 6 448 0.6× 379 0.8× 173 1.3× 27 0.5× 48 1.0× 9 544

Countries citing papers authored by Paolo Gai

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Gai

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

All Works

20 of 20 papers shown
1.
Gai, Paolo, et al.. (2023). From SW Timing Analysis and Safety Logging to HW Implementation: A Possible Solution with an Integrated and Low-Power Logger Approach. Journal of Low Power Electronics and Applications. 13(4). 59–59.
3.
Jiménez-González, Daniel, Carlos Álvarez, Xavier Martorell, et al.. (2019). The AXIOM Project: IoT on Heterogeneous Embedded Platforms. IEEE Design and Test. 38(5). 74–81. 3 indexed citations
4.
Theodoropoulos, Dimitris, Somnath Mazumdar, Eduard Ayguadé, et al.. (2017). The AXIOM platform for next-generation cyber physical systems. Microprocessors and Microsystems. 52. 540–555. 9 indexed citations
5.
Gai, Paolo, et al.. (2017). A dual shared stack for FSLM in Erika Enterprise. TU/e Research Portal (Eindhoven University of Technology). 1 indexed citations
6.
Gai, Paolo, et al.. (2017). Incorporating implementation overheads in the analysis for the flexible spin-lock model. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 8411–8418. 2 indexed citations
7.
Burgio, Paolo, et al.. (2016). A Software Stack for Next-Generation Automotive Systems on Many-Core Heterogeneous Platforms. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 55–59. 8 indexed citations
8.
Giorgi, Roberto, Somnath Mazumdar, Stefano Viola, et al.. (2016). Modeling multi-board communication in the AXIOM cyber-physical system. QRU Quaderns de Recerca en Urbanisme. 37(4). 228–235. 5 indexed citations
9.
Valente, Paolo, et al.. (2015). Integrating Linux and the real-time ERIKA OS through the Xen hypervisor. IRIS UNIMORE (University of Modena and Reggio Emilia). 41. 1–7. 3 indexed citations
10.
Pinho, Luís Miguel, Vincent Nélis, Patrick Meumeu Yomsi, et al.. (2015). P-SOCRATES: A parallel software framework for time-critical many-core systems. Microprocessors and Microsystems. 39(8). 1190–1203. 11 indexed citations
11.
Álvarez, Carlos, Eduard Ayguadé, Javier Bueno, et al.. (2015). The AXIOM Software Layers. UPCommons institutional repository (Universitat Politècnica de Catalunya). 14. 117–124. 13 indexed citations
12.
Gai, Paolo, et al.. (2014). Towards an Open Source Framework for Small Engine Controls Development. SAE International journal of passenger cars. Electronic and electrical systems. 8(1). 22–31. 3 indexed citations
13.
Gai, Paolo, et al.. (2007). Adding Timing Analysis to Functional Design to Predict Implementation Errors. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
14.
Pedreiras, Paulo, Lúıs Almeida, & Paolo Gai. (2005). The FTT-ethernet protocol: merging flexibility, timeliness and efficiency. 134–142. 68 indexed citations
15.
Gai, Paolo, Giuseppe Lipari, Marco Di Natale, M. Duranti, & A. Ferrari. (2005). Support for multiprocessor synchronization and resource sharing in System-On-Programmable Chips with SoftCores. 184. 109–110. 4 indexed citations
16.
Gai, Paolo. (2005). Real Time Operating System design for Multiprocessor system-on-a-chip. 2 indexed citations
17.
Gai, Paolo, Luca Abeni, & Giorgio Buttazzo. (2003). Multiprocessor DSP scheduling in system-on-a-chip architectures. 231–238. 26 indexed citations
18.
Pedreiras, Paulo, Lúıs Almeida, & Paolo Gai. (2003). FTT-Ethernet: a platform to implement the Elastic Task Model over message streams. 225–232. 6 indexed citations
19.
Gai, Paolo, Luca Abeni, Maria Grazia De Giorgi, & Giorgio Buttazzo. (2002). A new kernel approach for modular real-time systems development. 199–206. 75 indexed citations
20.
Gai, Paolo, et al.. (2000). Architecture For A Portable Open Source Real Time Kernel Environment. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 33 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.

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