Carmen Santoro

167 total papers · 3.3k total citations
81 papers, 1.4k citations indexed

About

Carmen Santoro is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Carmen Santoro has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Human-Computer Interaction, 23 papers in Computer Vision and Pattern Recognition and 20 papers in Information Systems. Recurrent topics in Carmen Santoro's work include Usability and User Interface Design (38 papers), Context-Aware Activity Recognition Systems (21 papers) and Spreadsheets and End-User Computing (15 papers). Carmen Santoro is often cited by papers focused on Usability and User Interface Design (38 papers), Context-Aware Activity Recognition Systems (21 papers) and Spreadsheets and End-User Computing (15 papers). Carmen Santoro collaborates with scholars based in Italy, United States and United Kingdom. Carmen Santoro's co-authors include Fabio Paternò, Giulio Mori, Lucio Davide Spano, Marco Manca, Giuseppe Ghiani, Jani Mäntyjärvi, Silvia Berti, Alessandro Sale, Chiara Braschi and Robert E. Fields and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Reliability Engineering & System Safety.

In The Last Decade

Carmen Santoro

74 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Carmen Santoro 704 437 386 334 294 81 1.4k
Carmelo Ardito 661 0.9× 362 0.8× 411 1.1× 166 0.5× 168 0.6× 97 1.6k
Rosa Lanzilotti 545 0.8× 361 0.8× 489 1.3× 171 0.5× 119 0.4× 100 1.7k
Sangmin Park 535 0.8× 203 0.5× 408 1.1× 192 0.6× 226 0.8× 30 1.4k
Maristella Matera 422 0.6× 277 0.6× 729 1.9× 287 0.9× 258 0.9× 114 1.4k
Tessa Lau 287 0.4× 256 0.6× 749 1.9× 544 1.6× 320 1.1× 55 1.7k
Kumiyo Nakakoji 584 0.8× 266 0.6× 486 1.3× 294 0.9× 104 0.4× 90 1.8k
Kris Luyten 869 1.2× 456 1.0× 195 0.5× 196 0.6× 64 0.2× 169 1.6k
Daniela Fogli 225 0.3× 220 0.5× 258 0.7× 214 0.6× 251 0.9× 93 1.8k
Michael D. Harrison 551 0.8× 172 0.4× 240 0.6× 440 1.3× 262 0.9× 114 1.6k
Joel Brandt 311 0.4× 363 0.8× 826 2.1× 391 1.2× 265 0.9× 44 1.8k

Countries citing papers authored by Carmen Santoro

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Santoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Santoro

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