Giuseppe Valetto

84 total papers · 1.4k total citations
50 papers, 844 citations indexed

About

Giuseppe Valetto is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Giuseppe Valetto has authored 50 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 19 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Giuseppe Valetto's work include Advanced Software Engineering Methodologies (14 papers), Software Engineering Research (14 papers) and Software Engineering Techniques and Practices (12 papers). Giuseppe Valetto is often cited by papers focused on Advanced Software Engineering Methodologies (14 papers), Software Engineering Research (14 papers) and Software Engineering Techniques and Practices (12 papers). Giuseppe Valetto collaborates with scholars based in United States, Italy and Canada. Giuseppe Valetto's co-authors include Gail E. Kaiser, Annapaola Marconi, Marco Pistore, Sean Goggins, Kelly Blincoe, Raman Kazhamiakin, Kate Ehrlich, Mary E. Helander, Reza Khoshkangini and Luca Piras and has published in prestigious journals such as IEEE Transactions on Software Engineering, User Modeling and User-Adapted Interaction and Cluster Computing.

In The Last Decade

Giuseppe Valetto

47 papers receiving 787 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Valetto	428	289	269	137	125	50	844
Jouni Markkula	492 1.1×	162 0.6×	126 0.5×	103 0.8×	46 0.4×	47	1.0k
Eben M. Haber	424 1.0×	222 0.8×	287 1.1×	206 1.5×	21 0.2×	33	992
Eelco Herder	518 1.2×	271 0.9×	133 0.5×	103 0.8×	53 0.4×	84	989
Estefanía Serral	233 0.5×	186 0.6×	138 0.5×	103 0.8×	53 0.4×	77	858
Yacine Atif	348 0.8×	159 0.6×	282 1.0×	116 0.8×	46 0.4×	70	799
Rajiv Ramnath	302 0.7×	186 0.6×	402 1.5×	71 0.5×	50 0.4×	113	953
Franz Lehner	462 1.1×	226 0.8×	77 0.3×	80 0.6×	35 0.3×	88	960
Ellen Spertus	341 0.8×	246 0.9×	159 0.6×	146 1.1×	50 0.4×	26	741
Denis Helić	314 0.7×	234 0.8×	87 0.3×	181 1.3×	79 0.6×	124	879
Yael Dubinsky	601 1.4×	234 0.8×	128 0.5×	182 1.3×	46 0.4×	69	785

Countries citing papers authored by Giuseppe Valetto

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Valetto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Valetto

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