G. Soda

88 papers and 1.3k indexed citations i.

About

G. Soda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, G. Soda has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 15 papers in Oncology. Recurrent topics in G. Soda’s work include Handwritten Text Recognition Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers) and Soft tissue tumor case studies (6 papers). G. Soda is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers) and Soft tissue tumor case studies (6 papers). G. Soda collaborates with scholars based in Italy, United Kingdom and United States. G. Soda's co-authors include Paolo Frasconi, Marco Gori, Simone Marinai, Søren Brunak, Pierre Baldi, Gianluca Pollastri, Marco Maggini, F. Cesarini, Daniela Bosco and Emanuele Marino and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of G. Soda i

Fields of papers citing papers by G. Soda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Soda

Since Specialization
Citations

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

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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