Giuseppe Lettieri

70 total papers · 614 total citations
43 papers, 428 citations indexed

About

Giuseppe Lettieri is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Giuseppe Lettieri has authored 43 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Giuseppe Lettieri's work include Software-Defined Networks and 5G (16 papers), Cloud Computing and Resource Management (11 papers) and Security and Verification in Computing (10 papers). Giuseppe Lettieri is often cited by papers focused on Software-Defined Networks and 5G (16 papers), Cloud Computing and Resource Management (11 papers) and Security and Verification in Computing (10 papers). Giuseppe Lettieri collaborates with scholars based in Italy, United States and United Kingdom. Giuseppe Lettieri's co-authors include Luigi Rizzo, Michio Honda, Felipe Huici, Nicoletta De Francesco, Cinzia Bernardeschi, Gigliola Vaglini, Antonella Santone, Luca Martini, Gregorio Procissi and Gianluca Dini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Giuseppe Lettieri

37 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Lettieri	366	151	90	74	59	43	428
Teck Chaw Ling	322 0.9×	210 1.4×	80 0.9×	94 1.3×	51 0.9×	48	429
Hwansoo Han	260 0.7×	80 0.5×	238 2.6×	65 0.9×	47 0.8×	56	373
Hannes Payer	245 0.7×	80 0.5×	202 2.2×	90 1.2×	15 0.3×	34	400
Arun Kejariwal	284 0.8×	85 0.6×	241 2.7×	109 1.5×	58 1.0×	52	460
Rafael Asenjo	289 0.8×	107 0.7×	274 3.0×	69 0.9×	23 0.4×	53	419
Gerald Neufeld	348 1.0×	59 0.4×	123 1.4×	44 0.6×	20 0.3×	44	434
Cataldo Basile	246 0.7×	128 0.8×	82 0.9×	155 2.1×	109 1.8×	40	383
Sriram Sankar	305 0.8×	219 1.5×	133 1.5×	62 0.8×	19 0.3×	24	404
Hiroshi Yamada	403 1.1×	211 1.4×	113 1.3×	37 0.5×	15 0.3×	50	467
Nima Honarmand	297 0.8×	102 0.7×	283 3.1×	78 1.1×	56 0.9×	23	379

Countries citing papers authored by Giuseppe Lettieri

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Lettieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Lettieri

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