Riccardo De Bin

66 total papers · 1.0k total citations
34 papers, 651 citations indexed

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 34 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 9 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Riccardo De Bin's work include Statistical Methods and Inference (11 papers), Gene expression and cancer classification (9 papers) and Statistical Methods and Bayesian Inference (8 papers). Riccardo De Bin is often cited by papers focused on Statistical Methods and Inference (11 papers), Gene expression and cancer classification (9 papers) and Statistical Methods and Bayesian Inference (8 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, Gabriel dos Passos Gomes, Alán Aspuru‐Guzik, Pascal Friederich, Silke Janitza, Erik Vanem, Ingrid K. Glad and Azzeddine Bakdi and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Biometrics.

In The Last Decade

Riccardo De Bin

32 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
Riccardo De Bin	168	119	112	91	74	34	651
Mingqiu Wang	98 0.6×	48 0.4×	112 1.0×	120 1.3×	10 0.1×	68	588
Chao Huang	77 0.5×	36 0.3×	82 0.7×	92 1.0×	3 0.0×	53	746
Yingfang Li	57 0.3×	28 0.2×	81 0.7×	120 1.3×	113 1.5×	77	647
Josep Ginebra	22 0.1×	66 0.6×	74 0.7×	110 1.2×	50 0.7×	42	786
Wenqi Zhao	421 2.5×	28 0.2×	14 0.1×	9 0.1×	30 0.4×	33	673
William R. Myers	46 0.3×	19 0.2×	42 0.4×	36 0.4×	121 1.6×	33	576
Kaiming Chen	223 1.3×	34 0.3×	19 0.2×	5 0.1×	17 0.2×	40	601
Yuting Wei	49 0.3×	74 0.6×	58 0.5×	56 0.6×	7 0.1×	69	633
Jingyi Liu	128 0.8×	138 1.2×	2 0.0×	58 0.6×	19 0.3×	66	740
R. Sivaraman	146 0.9×	109 0.9×	4 0.0×	21 0.2×	24 0.3×	79	782

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo De Bin. A scholar is included among the top collaborators of Riccardo De Bin 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 Riccardo De Bin. Riccardo De Bin 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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