Giuseppe Papuzzo

42 total papers · 595 total citations
26 papers, 375 citations indexed

About

Giuseppe Papuzzo is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Giuseppe Papuzzo has authored 26 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Giuseppe Papuzzo's work include IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (6 papers) and Distributed and Parallel Computing Systems (6 papers). Giuseppe Papuzzo is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (6 papers) and Distributed and Parallel Computing Systems (6 papers). Giuseppe Papuzzo collaborates with scholars based in Italy, India and China. Giuseppe Papuzzo's co-authors include Carlo Mastroianni, Agostino Forestiero, Michela Meo, Giandomenico Spezzano, Gianluigi Folino, Maria Penelope De Santo, R. Barberi, Antonio De Luca, Carmela Comito and Aniket Patra and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Internet of Things Journal and Applied Soft Computing.

In The Last Decade

Giuseppe Papuzzo

26 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Papuzzo	240	222	58	45	41	26	375
Lüdwig Seitz	267 1.1×	129 0.6×	120 2.1×	35 0.8×	18 0.4×	29	391
Harshit Srivastava	135 0.6×	91 0.4×	52 0.9×	125 2.8×	58 1.4×	25	332
Wei Chen	195 0.8×	198 0.9×	72 1.2×	51 1.1×	13 0.3×	30	373
Subasish Mohapatra	267 1.1×	238 1.1×	97 1.7×	33 0.7×	31 0.8×	27	409
Muhammad Faizan Ayub	265 1.1×	237 1.1×	101 1.7×	88 2.0×	40 1.0×	22	391
Marcus Herzog	148 0.6×	245 1.1×	159 2.7×	66 1.5×	33 0.8×	23	395
Wei-Yang Chiu	237 1.0×	268 1.2×	151 2.6×	36 0.8×	15 0.4×	29	407
Xu Zhao	328 1.4×	250 1.1×	93 1.6×	22 0.5×	24 0.6×	25	419
Joe Sventek	322 1.3×	125 0.6×	78 1.3×	76 1.7×	66 1.6×	38	417
Chunjie Luo	152 0.6×	142 0.6×	40 0.7×	23 0.5×	63 1.5×	27	397

Countries citing papers authored by Giuseppe Papuzzo

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Papuzzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Papuzzo

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Papuzzo. A scholar is included among the top collaborators of Giuseppe Papuzzo 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 Giuseppe Papuzzo. Giuseppe Papuzzo 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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