Paolo Gai

59 total papers · 1.2k total citations
41 papers, 805 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 805 indexed citations (citations by other indexed papers that have themselves been cited), including 38 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 (35 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 (35 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 752 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paolo Gai	706	500	136	51	50	41	805
B.D. Theelen	610 0.9×	428 0.9×	128 0.9×	42 0.8×	47 0.9×	39	729
Bart Kienhuis	699 1.0×	484 1.0×	100 0.7×	62 1.2×	92 1.8×	47	790
Sebastian Altmeyer	961 1.4×	501 1.0×	155 1.1×	35 0.7×	52 1.0×	67	1.0k
Marco Paolieri	564 0.8×	349 0.7×	91 0.7×	20 0.4×	69 1.4×	42	750
Geoffrey Nelissen	739 1.0×	499 1.0×	137 1.0×	37 0.7×	24 0.5×	71	825
Maryline Chetto	540 0.8×	364 0.7×	147 1.1×	24 0.5×	149 3.0×	51	734
Nathan Fisher	924 1.3×	569 1.1×	207 1.5×	20 0.4×	90 1.8×	87	1.0k
Marek Jersak	823 1.2×	419 0.8×	236 1.7×	38 0.7×	38 0.8×	39	881
A.A. Jerraya	644 0.9×	446 0.9×	42 0.3×	67 1.3×	100 2.0×	31	719
Paul Lieverse	737 1.0×	536 1.1×	103 0.8×	31 0.6×	79 1.6×	17	804

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

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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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