Giuseppe Desolda

135 total papers · 1.6k total citations
59 papers, 661 citations indexed

About

Giuseppe Desolda is a scholar working on Human-Computer Interaction, Software and Computer Vision and Pattern Recognition. According to data from OpenAlex, Giuseppe Desolda has authored 59 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Human-Computer Interaction, 17 papers in Software and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Giuseppe Desolda's work include Spreadsheets and End-User Computing (16 papers), Usability and User Interface Design (12 papers) and Context-Aware Activity Recognition Systems (10 papers). Giuseppe Desolda is often cited by papers focused on Spreadsheets and End-User Computing (16 papers), Usability and User Interface Design (12 papers) and Context-Aware Activity Recognition Systems (10 papers). Giuseppe Desolda collaborates with scholars based in Italy, United Kingdom and United States. Giuseppe Desolda's co-authors include Carmelo Ardito, Maristella Matera, Maria Francesca Costabile, Paolo Buono, Rosa Lanzilotti, Antonio Piccinno, Andrea Marrella, Lauren S. Ferro, Tiziana Catarci and Alessio Malizia and has published in prestigious journals such as Scientific Reports, IEEE Access and ACM Computing Surveys.

In The Last Decade

Giuseppe Desolda

55 papers receiving 638 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Desolda	260	200	139	136	92	59	661
Paul Calder	187 0.7×	164 0.8×	186 1.3×	85 0.6×	169 1.8×	38	681
Francisco Montero	291 1.1×	115 0.6×	238 1.7×	62 0.5×	166 1.8×	66	779
Lucio Davide Spano	327 1.3×	184 0.9×	152 1.1×	49 0.4×	98 1.1×	65	615
Anthony Savidis	298 1.1×	119 0.6×	119 0.9×	34 0.3×	110 1.2×	60	693
Giuliana Vitiello	131 0.5×	136 0.7×	237 1.7×	161 1.2×	168 1.8×	111	769
José A. Gallud	147 0.6×	111 0.6×	137 1.0×	47 0.3×	53 0.6×	78	628
Jonathan I. Helfman	306 1.2×	310 1.6×	199 1.4×	49 0.4×	135 1.5×	27	735
Ephraim P. Glinert	213 0.8×	166 0.8×	116 0.8×	37 0.3×	125 1.4×	52	589
Chris Brown	246 0.9×	294 1.5×	135 1.0×	29 0.2×	108 1.2×	58	738
Alberto Monge Roffarello	130 0.5×	99 0.5×	59 0.4×	126 0.9×	60 0.7×	38	571

Countries citing papers authored by Giuseppe Desolda

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Desolda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Desolda

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