Riccardo De Bin

33 papers and 560 indexed citations i.

About

Riccardo De Bin is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Riccardo De Bin has authored 33 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 8 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Riccardo De Bin’s work include Statistical Methods and Inference (10 papers), Gene expression and cancer classification (8 papers) and Statistical Methods and Bayesian Inference (7 papers). Riccardo De Bin is often cited by papers focused on Statistical Methods and Inference (10 papers), Gene expression and cancer classification (8 papers) and Statistical Methods and Bayesian Inference (7 papers). Riccardo De Bin collaborates with scholars based in Norway, Germany and United States. Riccardo De Bin's co-authors include Anne‐Laure Boulesteix, Willi Sauerbrei, David Balcells, Alán Aspuru‐Guzik, Gabriel dos Passos Gomes, Pascal Friederich, Silke Janitza, Erik Vanem, Azzeddine Bakdi and Ingrid K. Glad and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Riccardo De Bin i

Fields of papers citing papers by Riccardo De Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riccardo De Bin. 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 Riccardo De Bin. The network helps show where Riccardo De Bin may publish in the future.

Countries citing papers authored by Riccardo De Bin

Since Specialization
Citations

This map shows the geographic impact of Riccardo De Bin'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 Riccardo De Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo De Bin 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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