Yudith Cardinale

171 total papers · 1.0k total citations
64 papers, 440 citations indexed

About

Yudith Cardinale is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yudith Cardinale has authored 64 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 20 papers in Computer Vision and Pattern Recognition and 20 papers in Artificial Intelligence. Recurrent topics in Yudith Cardinale's work include Service-Oriented Architecture and Web Services (15 papers), Context-Aware Activity Recognition Systems (11 papers) and Semantic Web and Ontologies (11 papers). Yudith Cardinale is often cited by papers focused on Service-Oriented Architecture and Web Services (15 papers), Context-Aware Activity Recognition Systems (11 papers) and Semantic Web and Ontologies (11 papers). Yudith Cardinale collaborates with scholars based in Venezuela, France and Peru. Yudith Cardinale's co-authors include Marta Rukoz, Ana Aguilera, Richard Chbeir, Maude Manouvrier, María-Esther Vidal, Masun Nabhan Homsi, Eduardo Blanco, Sergio Ordóñez, Philippe Roose and Emilio Hernández⋆ and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Yudith Cardinale

57 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Yudith Cardinale 158 156 114 78 56 64 440
Keyur Patel 108 0.7× 96 0.6× 147 1.3× 48 0.6× 41 0.7× 49 486
Nikolay Teslya 61 0.4× 169 1.1× 142 1.2× 68 0.9× 27 0.5× 60 407
Monalisa Sarma 113 0.7× 175 1.1× 78 0.7× 72 0.9× 16 0.3× 68 494
Salvatore Andolina 97 0.6× 131 0.8× 44 0.4× 101 1.3× 18 0.3× 42 412
Wilson Vicente Ruggiero 189 1.2× 170 1.1× 106 0.9× 48 0.6× 13 0.2× 57 452
Susumu Kunifuji 125 0.8× 60 0.4× 53 0.5× 79 1.0× 21 0.4× 71 408
Miguel Vargas Martín 125 0.8× 113 0.7× 95 0.8× 61 0.8× 16 0.3× 70 426
Anton Eliëns 118 0.7× 67 0.4× 34 0.3× 122 1.6× 45 0.8× 64 421
Yusuke Fukazawa 70 0.4× 51 0.3× 43 0.4× 85 1.1× 26 0.5× 48 386
Abdulrahman Alreshidi 161 1.0× 134 0.9× 125 1.1× 90 1.2× 15 0.3× 32 428

Countries citing papers authored by Yudith Cardinale

Since Specialization
Citations

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

Fields of papers citing papers by Yudith Cardinale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yudith Cardinale

This figure shows the co-authorship network connecting the top 25 collaborators of Yudith Cardinale. A scholar is included among the top collaborators of Yudith Cardinale 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 Yudith Cardinale. Yudith Cardinale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026