Riccardo Boscolo

1.1k total citations
10 papers, 765 citations indexed

About

Riccardo Boscolo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Riccardo Boscolo has authored 10 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Riccardo Boscolo's work include Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (3 papers). Riccardo Boscolo is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (3 papers). Riccardo Boscolo collaborates with scholars based in United States. Riccardo Boscolo's co-authors include Vwani Roychowdhury, James C. Liao, Chiara Sabatti, Linh M. Tran, Hong Pan, Katy C. Kao, Matthew S. Brown, Michael F. McNitt‐Gray, N. Srinivasa and Y. Owechko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Radiographics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Riccardo Boscolo

10 papers receiving 733 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Riccardo Boscolo United States	9	544	112	74	73	69	10	765
King Wai Lau United Kingdom	11	282 0.5×	29 0.3×	49 0.7×	15 0.2×	110 1.6×	20	581
Jingqi Yuan China	18	436 0.8×	31 0.3×	10 0.1×	110 1.5×	70 1.0×	54	953
Yingke Lei China	12	420 0.8×	46 0.4×	10 0.1×	21 0.3×	100 1.4×	24	685
Ying-Lian Gao China	19	657 1.2×	40 0.4×	14 0.2×	26 0.4×	164 2.4×	89	1.0k
András Kocsor Hungary	12	153 0.3×	97 0.9×	7 0.1×	21 0.3×	327 4.7×	47	609
Cheng‐Wei Hsieh Taiwan	7	203 0.4×	17 0.2×	66 0.9×	16 0.2×	188 2.7×	14	521
Hyuk Cho United States	9	207 0.4×	67 0.6×	28 0.4×	3 0.0×	180 2.6×	33	512
Hanming Wu China	15	100 0.2×	15 0.1×	11 0.1×	15 0.2×	95 1.4×	42	653
Ronaldo F. Hashimoto Brazil	14	501 0.9×	6 0.1×	33 0.4×	12 0.2×	67 1.0×	61	689

Countries citing papers authored by Riccardo Boscolo

Since Specialization

Citations

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

Fields of papers citing papers by Riccardo Boscolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Boscolo

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

All Works

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10 of 10 papers shown

Boscolo, Riccardo, James C. Liao, & Vwani Roychowdhury. (2008). An Information Theoretic Exploratory Method for Learning Patterns of Conditional Gene Coexpression from Microarray Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 5(1). 15–24. 14 indexed citations

Boscolo, Riccardo, Chiara Sabatti, James C. Liao, & Vwani Roychowdhury. (2005). A Generalized Framework for Network Component Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2(4). 289–301. 28 indexed citations

Owechko, Y., et al.. (2004). High performance sensor fusion architecture for vision-based occupant detection. 2. 1128–1133. 9 indexed citations

Boscolo, Riccardo, Hong Pan, & Vwani Roychowdhury. (2004). Independent Component Analysis Based on Nonparametric Density Estimation. IEEE Transactions on Neural Networks. 15(1). 55–65. 109 indexed citations

Owechko, Y., et al.. (2003). Vision-based fusion system for smart airbag applications. 1. 245–250. 16 indexed citations

Liao, James C., et al.. (2003). Network component analysis: Reconstruction of regulatory signals in biological systems. Proceedings of the National Academy of Sciences. 100(26). 15522–15527. 432 indexed citations

Boscolo, Riccardo & Vwani Roychowdhury. (2003). ON THE UNIQUENESS OF THE MINIMUM OF THE INFORMATION-THEORETIC COST FUNCTION FOR THE SEPARATION OF MIXTURES OF NEARLY GAUSSIAN SIGNALS. 1 indexed citations

Liao, James C., et al.. (2003). ROYCHOWDHURY, NETWORK COMPONENT ANALYSIS: RECONSTRUCTION OF REGULATORY SIGNALS IN BIOLOGICAL SYSTEMS. 100(26). 15522–15527. 13 indexed citations

Kao, Katy C., et al.. (2003). Transcriptome-based determination of multiple transcription regulator activities in Escherichia coli by using network component analysis. Proceedings of the National Academy of Sciences. 101(2). 641–646. 111 indexed citations

10.

Boscolo, Riccardo, Matthew S. Brown, & Michael F. McNitt‐Gray. (2002). Medical Image Segmentation with Knowledge-guided Robust Active Contours. Radiographics. 22(2). 437–448. 32 indexed citations

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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