Delbert Dueck

7.6k total citations · 1 hit paper
9 papers, 5.0k citations indexed

About

Delbert Dueck is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Delbert Dueck has authored 9 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Delbert Dueck's work include Gene expression and cancer classification (5 papers), Face and Expression Recognition (4 papers) and Fractal and DNA sequence analysis (2 papers). Delbert Dueck is often cited by papers focused on Gene expression and cancer classification (5 papers), Face and Expression Recognition (4 papers) and Fractal and DNA sequence analysis (2 papers). Delbert Dueck collaborates with scholars based in Canada and United Kingdom. Delbert Dueck's co-authors include Brendan J. Frey, Quaid Morris, Vincent C. K. Cheung, Inmar E. Givoni, Christopher Hudson Moore, D. Sayer, David Heckerman, S. Mallal, Nebojša Jojić and Damian Goodridge and has published in prestigious journals such as Science, Computer applications in the biosciences and Neural Information Processing Systems.

In The Last Decade

Delbert Dueck

8 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clustering by Passing Messages Between Data Points

2007 4.6k citations Brendan J. Frey, Delbert Dueck Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Delbert Dueck Canada	6	1.9k	1.6k	834	531	497	9	5.0k
Álex Rodríguez Italy	21	1.9k 1.0×	1.1k 0.7×	978 1.2×	505 1.0×	593 1.2×	70	4.8k
Aristidis Likas Greece	34	2.8k 1.5×	2.1k 1.3×	473 0.6×	799 1.5×	555 1.1×	153	7.1k
Zhiwen Yu China	39	3.2k 1.7×	1.9k 1.2×	540 0.6×	451 0.8×	252 0.5×	217	5.5k
Olivier Bousquet France	32	3.6k 2.0×	3.1k 2.0×	650 0.8×	543 1.0×	458 0.9×	139	8.4k
Arthur Gretton Germany	35	3.9k 2.1×	2.1k 1.3×	498 0.6×	678 1.3×	330 0.7×	116	7.5k
Nikos Vlassis Netherlands	33	2.3k 1.3×	1.4k 0.9×	801 1.0×	458 0.9×	130 0.3×	126	6.0k
Neil D. Lawrence United Kingdom	49	3.8k 2.1×	1.8k 1.2×	1.2k 1.5×	663 1.2×	397 0.8×	172	8.4k
Markus Hagenbuchner Australia	17	3.1k 1.7×	1.5k 0.9×	566 0.7×	339 0.6×	640 1.3×	62	6.1k
Petros Drineas United States	37	2.4k 1.3×	1.4k 0.9×	542 0.6×	635 1.2×	380 0.8×	117	5.8k
James Bailey Australia	38	3.9k 2.1×	1.6k 1.0×	794 1.0×	963 1.8×	563 1.1×	215	6.8k

Countries citing papers authored by Delbert Dueck

Since Specialization

Citations

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

Fields of papers citing papers by Delbert Dueck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delbert Dueck

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Frey, Brendan J. & Delbert Dueck. (2008). Response to Comment on "Clustering by Passing Messages Between Data Points". Science. 319(5864). 726–726. 46 indexed citations

2.

Frey, Brendan J. & Delbert Dueck. (2007). Clustering by Passing Messages Between Data Points. Science. 315(5814). 972–976. 4590 indexed citations breakdown →

3.

Dueck, Delbert & Brendan J. Frey. (2007). Non-metric affinity propagation for unsupervised image categorization. 1–8. 213 indexed citations

4.

Dueck, Delbert, Christopher Hudson Moore, Damian Goodridge, et al.. (2007). POPULATION SEQUENCING FROM CHROMATOGRAM DATA. 1 indexed citations

5.

Cheung, Vincent C. K., Inmar E. Givoni, Delbert Dueck, & Brendan J. Frey. (2006). Factorgrams: A tool for visualizing multi-way associations in biological data.

6.

Frey, Brendan J. & Delbert Dueck. (2005). Mixture Modeling by Affinity Propagation. Neural Information Processing Systems. 18. 379–386. 67 indexed citations

7.

Dueck, Delbert, Quaid Morris, & Brendan J. Frey. (2005). Multi-way clustering of microarray data using probabilistic sparse matrix factorization. Computer applications in the biosciences. 21(Suppl 1). i144–i151. 80 indexed citations

8.

Dueck, Delbert & Brendan J. Frey. (2004). Probabilistic Sparse Matrix Factorization. 28 indexed citations

9.

Dueck, Delbert. (2001). MPEG-2 Video Transcoding. 3 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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