David B. Dahl

1.6k total citations
31 papers, 849 citations indexed

About

David B. Dahl is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, David B. Dahl has authored 31 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Molecular Biology and 5 papers in Statistics and Probability. Recurrent topics in David B. Dahl's work include Bayesian Methods and Mixture Models (12 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (5 papers). David B. Dahl is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (5 papers). David B. Dahl collaborates with scholars based in United States, Slovakia and Spain. David B. Dahl's co-authors include Marina Vannucci, Michael A. Newton, Jerry Tsai, Mei Wang, Jennifer S. Goldsby, Damir Herman, Scott Schwartz, Robert S. Chapkin, Sharon M. Donovan and Ivan Ivanov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

David B. Dahl

30 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Dahl United States 15 438 160 105 92 87 31 849
Xinyan Zhang United States 19 441 1.0× 84 0.5× 109 1.0× 53 0.6× 104 1.2× 57 992
Xianyang Zhang United States 21 362 0.8× 114 0.7× 325 3.1× 65 0.7× 61 0.7× 70 1.2k
Zaixiang Tang China 17 374 0.9× 52 0.3× 57 0.5× 42 0.5× 98 1.1× 92 933
Alessandra Rosalba Brazzale Italy 17 242 0.6× 65 0.4× 150 1.4× 69 0.8× 221 2.5× 54 864
Richard S. Savage United Kingdom 22 579 1.3× 105 0.7× 14 0.1× 60 0.7× 95 1.1× 33 1.2k
Chen‐An Tsai Taiwan 20 681 1.6× 104 0.7× 115 1.1× 105 1.1× 54 0.6× 45 1.1k
Marian Grendár Slovakia 18 317 0.7× 34 0.2× 45 0.4× 63 0.7× 121 1.4× 149 1.0k
Dan Lin United States 24 572 1.3× 206 1.3× 572 5.4× 63 0.7× 53 0.6× 79 2.0k
Wei Tan United States 21 616 1.4× 75 0.5× 299 2.8× 172 1.9× 85 1.0× 118 1.6k
Bill C. White United States 18 1.2k 2.8× 175 1.1× 43 0.4× 77 0.8× 101 1.2× 32 2.1k

Countries citing papers authored by David B. Dahl

Since Specialization
Citations

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

Fields of papers citing papers by David B. Dahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Dahl. 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 David B. Dahl. The network helps show where David B. Dahl may publish in the future.

Co-authorship network of co-authors of David B. Dahl

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

All Works

20 of 20 papers shown
1.
Dahl, David B., et al.. (2025). Dependent Random Partitions by Shrinking Toward an Anchor. Journal of the American Statistical Association. 120(552). 2684–2696. 1 indexed citations
2.
Dahl, David B., et al.. (2024). Characterizing Temperature-Dependent Acoustic and Thermal Tissue Properties for High-Intensity Focused Ultrasound Computational Modeling. International Journal of Thermophysics. 45(10). 2 indexed citations
3.
Dahl, David B., et al.. (2021). Sequentially allocated merge-split samplers for conjugate Bayesian nonparametric models. Journal of Statistical Computation and Simulation. 92(7). 1487–1511. 1 indexed citations
4.
Dahl, David B.. (2020). Integration of R and Scala Using rscala. Journal of Statistical Software. 92(4). 3 indexed citations
5.
Dahl, David B., Ryan Day, & Jerry Tsai. (2016). Random Partition Distribution Indexed by Pairwise Information. Journal of the American Statistical Association. 112(518). 721–732. 25 indexed citations
6.
Li, Qiwei, David B. Dahl, Marina Vannucci, Hyun Joo, & Jerry Tsai. (2014). Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction. PLoS ONE. 9(10). e109832–e109832. 13 indexed citations
7.
Schwartz, Scott, Iddo Friedberg, Ivan Ivanov, et al.. (2012). A metagenomic study of diet-dependent interaction between gut microbiota and host in infants reveals differences in immune response. Genome biology. 13(4). r32–r32. 184 indexed citations
8.
Joo, Hyun, Archana G. Chavan, Ryan Day, et al.. (2011). Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity. PLoS Computational Biology. 7(10). e1002234–e1002234. 5 indexed citations
9.
Dahl, David B., et al.. (2010). A Dirichlet process mixture of hidden Markov models for protein structure prediction. 14 indexed citations
10.
Dahl, David B., Sinae Kim, & Marina Vannucci. (2009). Spiked Dirichlet process prior for Bayesian multiple hypothesis testing in random effects models. Bayesian Analysis. 4(4). 707–732. 32 indexed citations
11.
Dahl, David B., et al.. (2009). Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics. Journal of the American Statistical Association. 104(486). 586–596. 29 indexed citations
12.
Dahl, David B.. (2009). Modal clustering in a class of product partition models. Bayesian Analysis. 4(2). 32 indexed citations
13.
Dahl, David B., et al.. (2008). RinRuby: Accessing the R Interpreter from Pure Ruby. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Dahl, David B., Zach Bohannan, Qianxing Mo, Marina Vannucci, & Jerry Tsai. (2008). Assessing Side-Chain Perturbations of the Protein Backbone: A Knowledge-Based Classification of Residue Ramachandran Space. Journal of Molecular Biology. 378(3). 749–758. 32 indexed citations
15.
Dahl, David B., et al.. (2007). Lernobjekt-Metadatenerstellung in Zeiten des Web 2.0. 2. 1 indexed citations
16.
Sengupta, Srikumar, Johan A. den Boon, I‐How Chen, et al.. (2006). Genome-Wide Expression Profiling Reveals EBV-Associated Inhibition of MHC Class I Expression in Nasopharyngeal Carcinoma. Cancer Research. 66(16). 7999–8006. 194 indexed citations
17.
Mattison, Julie A., Mary Ann Croft, David B. Dahl, et al.. (2005). Accommodative function in rhesus monkeys: effects of aging and calorie restriction. AGE. 27(1). 59–67. 2 indexed citations
18.
Trick, Gary L., et al.. (2001). Optic Disc Topography in Pseudopapilledema: A Comparison to Pseudotumor Cerebri. Journal of Neuro-Ophthalmology. 21(4). 240–244. 18 indexed citations
19.
Lopez, Marisol E., et al.. (2000). Cellular phenotypes of age-associated skeletal muscle mitochondrial abnormalities in rhesus monkeys. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 452(1). 123–138. 60 indexed citations
20.
Silverman, Bernard A., et al.. (1981). On the Sampling Variance of Raingage Networks. Journal of applied meteorology. 20(12). 1468–1478. 24 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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