Lori A. Dalton

1.0k total citations
47 papers, 676 citations indexed

About

Lori A. Dalton is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Lori A. Dalton has authored 47 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Artificial Intelligence and 14 papers in Statistics and Probability. Recurrent topics in Lori A. Dalton's work include Gene expression and cancer classification (27 papers), Bioinformatics and Genomic Networks (16 papers) and Bayesian Methods and Mixture Models (11 papers). Lori A. Dalton is often cited by papers focused on Gene expression and cancer classification (27 papers), Bioinformatics and Genomic Networks (16 papers) and Bayesian Methods and Mixture Models (11 papers). Lori A. Dalton collaborates with scholars based in United States, Argentina and Ecuador. Lori A. Dalton's co-authors include Edward R. Dougherty, Ali Foroughi pour, David S. Albeck, Mohammadmahdi R. Yousefi, Marcel Brun, Virginia L. Ballarin, C.N. Georghiades, Roozbeh Dehghannasiri, Turab Lookman and Prasanna V. Balachandran and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Signal Processing.

In The Last Decade

Lori A. Dalton

46 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lori A. Dalton United States 13 256 239 109 54 48 47 676
Lizhen Lin United States 16 84 0.3× 165 0.7× 159 1.5× 3 0.1× 43 0.9× 72 696
Sanya Mitaim United States 11 117 0.5× 221 0.9× 88 0.8× 10 0.2× 55 1.1× 26 792
Gauthier Doquire Belgium 10 74 0.3× 276 1.2× 30 0.3× 9 0.2× 170 3.5× 16 610
Pasi Jylänki Finland 12 86 0.3× 196 0.8× 68 0.6× 10 0.2× 19 0.4× 21 828
Ilia Nouretdinov United Kingdom 14 83 0.3× 253 1.1× 39 0.4× 8 0.1× 43 0.9× 32 554
Krisztián Búza Hungary 14 136 0.5× 150 0.6× 8 0.1× 35 0.6× 37 0.8× 46 563
Javier González United Kingdom 12 176 0.7× 184 0.8× 8 0.1× 27 0.5× 34 0.7× 33 520
Zhenhuan Wang China 14 139 0.5× 88 0.4× 6 0.1× 30 0.6× 16 0.3× 67 939
Mehmet K. Muezzinoglu United States 15 39 0.2× 270 1.1× 11 0.1× 7 0.1× 104 2.2× 35 725

Countries citing papers authored by Lori A. Dalton

Since Specialization
Citations

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

Fields of papers citing papers by Lori A. Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lori A. Dalton. 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 Lori A. Dalton. The network helps show where Lori A. Dalton may publish in the future.

Co-authorship network of co-authors of Lori A. Dalton

This figure shows the co-authorship network connecting the top 25 collaborators of Lori A. Dalton. A scholar is included among the top collaborators of Lori A. Dalton 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 Lori A. Dalton. Lori A. Dalton 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.
pour, Ali Foroughi & Lori A. Dalton. (2020). Theory of Optimal Bayesian Feature Filtering. Project Euclid (Cornell University). 1 indexed citations
2.
pour, Ali Foroughi, Maciej Pietrzak, Lara E. Sucheston‐Campbell, et al.. (2020). High dimensional model representation of log likelihood ratio: binary classification with SNP data. BMC Medical Genomics. 13(S9). 133–133. 1 indexed citations
3.
pour, Ali Foroughi, Maciej Pietrzak, Lori A. Dalton, & Grzegorz A. Rempała. (2020). High dimensional model representation of log-likelihood ratio: binary classification with expression data. BMC Bioinformatics. 21(1). 156–156. 1 indexed citations
4.
pour, Ali Foroughi & Lori A. Dalton. (2018). Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure. BMC Bioinformatics. 19(S3). 70–70. 6 indexed citations
5.
Dalton, Lori A., Marco E. Benalcázar, & Edward R. Dougherty. (2018). Optimal clustering under uncertainty. PLoS ONE. 13(10). e0204627–e0204627. 1 indexed citations
6.
Dehghannasiri, Roozbeh, Dezhen Xue, Prasanna V. Balachandran, et al.. (2017). Optimal experimental design for materials discovery. Computational Materials Science. 129. 311–322. 49 indexed citations
7.
pour, Ali Foroughi & Lori A. Dalton. (2017). Multiclass Bayesian feature selection. 31. 725–729. 2 indexed citations
8.
pour, Ali Foroughi & Lori A. Dalton. (2017). Robust feature selection for block covariance Bayesian models. 31. 2696–2700. 9 indexed citations
9.
Dalton, Lori A. & Mohammadmahdi R. Yousefi. (2015). On optimal Bayesian classification and risk estimation under multiple classes. PubMed. 2015(1). 8–8. 8 indexed citations
10.
Yousefi, Mohammadmahdi R. & Lori A. Dalton. (2015). Optimal cancer prognosis under network uncertainty. PubMed. 2015(1). 1–1. 10 indexed citations
11.
pour, Ali Foroughi & Lori A. Dalton. (2015). Optimal bayesian feature filtering. 57. 651–652. 10 indexed citations
12.
Dougherty, Edward R., Lori A. Dalton, & Francis J. Alexander. (2015). Small data is the problem. 418–422. 2 indexed citations
13.
Dalton, Lori A.. (2015). Optimal ROC-Based Classification and Performance Analysis under Bayesian Uncertainty Models. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 13(4). 719–729. 8 indexed citations
14.
Dougherty, Edward R. & Lori A. Dalton. (2013). Scientific knowledge is possible with small-sample classification. PubMed. 2013(1). 10–10. 9 indexed citations
15.
Dalton, Lori A. & Edward R. Dougherty. (2012). Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part I: Representation. IEEE Transactions on Signal Processing. 60(5). 2575–2587. 22 indexed citations
16.
Dalton, Lori A. & Edward R. Dougherty. (2010). Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part II: Linear Classification of Gaussian Models. IEEE Transactions on Signal Processing. 59(1). 130–144. 36 indexed citations
17.
Dalton, Lori A., Virginia L. Ballarin, & Marcel Brun. (2009). Clustering Algorithms: On Learning, Validation, Performance, and Applications to Genomics. Current Genomics. 10(6). 430–445. 48 indexed citations
18.
Albeck, David S., et al.. (2006). Mild forced treadmill exercise enhances spatial learning in the aged rat. Behavioural Brain Research. 168(2). 345–348. 110 indexed citations
19.
Dalton, Lori A. & C.N. Georghiades. (2005). A full-rate, full-diversity four-antenna quasi-orthogonal space-time block code. IEEE Transactions on Wireless Communications. 4(2). 363–366. 30 indexed citations
20.
Dalton, Lori A., et al.. (2005). A study on high speed TCP protocols. 2. 851–855. 2 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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