Dale Bowman

570 total citations
25 papers, 304 citations indexed

About

Dale Bowman is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Dale Bowman has authored 25 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Dale Bowman's work include Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Methods and Mixture Models (5 papers). Dale Bowman is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Methods and Mixture Models (5 papers). Dale Bowman collaborates with scholars based in United States, Taiwan and Austria. Dale Bowman's co-authors include E. Olusegun George, D. Kimbrough Oller, Daniel Hunt, Lih‐Yuan Deng, Helen L. Long, Jon C. Cole, Daniel L. Baker, Henry Horng‐Shing Lu, Abby L. Parrill and Ramin Homayouni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Dale Bowman

22 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dale Bowman United States	9	158	78	55	32	27	25	304
Martine Léonard France	10	25 0.2×	75 1.0×	15 0.3×	10 0.3×	61 2.3×	25	264
Donald A. Berry United States	7	206 1.3×	110 1.4×	55 1.0×	3 0.1×	33 1.2×	8	308
Manuela Ott Switzerland	6	91 0.6×	32 0.4×	19 0.3×	5 0.2×	16 0.6×	7	231
Wim van der Linden Netherlands	5	41 0.3×	17 0.2×	70 1.3×	16 0.5×	7 0.3×	10	153
Ann Watkins United States	8	190 1.2×	39 0.5×	11 0.2×	8 0.3×	10 0.4×	30	322
Beverly Wood United States	6	168 1.1×	33 0.4×	12 0.2×	17 0.5×	13 0.5×	11	264
Marie‐Paule Lecoutre France	7	256 1.6×	36 0.5×	20 0.4×	14 0.4×	3 0.1×	12	335
Paulo Eduardo Oliveira Portugal	9	117 0.7×	54 0.7×	102 1.9×	3 0.1×	2 0.1×	40	250
Gustavo Cevolani Italy	8	12 0.1×	95 1.2×	16 0.3×	13 0.4×	8 0.3×	36	267

Countries citing papers authored by Dale Bowman

Since Specialization

Citations

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

Fields of papers citing papers by Dale Bowman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dale Bowman

This figure shows the co-authorship network connecting the top 25 collaborators of Dale Bowman. A scholar is included among the top collaborators of Dale Bowman 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 Dale Bowman. Dale Bowman 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:

20 of 20 papers shown

1.

Bowman, Dale, et al.. (2021). Ligand-based G Protein Coupled Receptor pharmacophore modeling: Assessing the role of ligand function in model development. Journal of Molecular Graphics and Modelling. 111. 108107–108107. 11 indexed citations

2.

Garzón, Max, et al.. (2021). An Information-theoretic approach to dimensionality reduction in data science. International Journal of Data Science and Analytics. 12(3). 185–203. 4 indexed citations

3.

Long, Helen L., D. Kimbrough Oller, & Dale Bowman. (2019). Reliability of Listener Judgments of Infant Vocal Imitation. Frontiers in Psychology. 10. 1340–1340. 8 indexed citations

4.

Bowman, Dale, et al.. (2018). The Origin of Protoconversation: An Examination of Caregiver Responses to Cry and Speech-Like Vocalizations. Frontiers in Psychology. 9. 1510–1510. 44 indexed citations

5.

Deng, Lih‐Yuan, Jyh‐Jen Horng Shiau, Henry Horng‐Shing Lu, & Dale Bowman. (2018). Secure and Fast Encryption (SAFE) with Classical Random Number Generators. ACM Transactions on Mathematical Software. 44(4). 1–17. 3 indexed citations

6.

Rus, Vasile, et al.. (2017). Markov Analysis of Students' Professional Skills in Virtual Internships.. The Florida AI Research Society. 116–121.

7.

Deng, Lih‐Yuan & Dale Bowman. (2017). Developments in pseudo‐random number generators. Wiley Interdisciplinary Reviews Computational Statistics. 9(5). 21 indexed citations

8.

Bowman, Dale & E. Olusegun George. (2017). A Bayesian analysis of clustered discrete and continuous outcomes. Journal of Applied Statistics. 45(3). 438–449. 1 indexed citations

9.

Chen, Si, et al.. (2016). Phylogenetic tree construction using trinucleotide usage profile (TUP). BMC Bioinformatics. 17(S13). 381–381. 3 indexed citations

10.

Bowman, Dale, et al.. (2015). A Bayesian approach for inducing sparsity in generalized linear models with multi-category response. BMC Bioinformatics. 16(S13). S13–S13. 3 indexed citations

11.

Hunt, Daniel & Dale Bowman. (2006). Modeling developmental data using U-shaped threshold dose-response curves. Journal of Applied Statistics. 33(1). 35–47. 4 indexed citations

12.

Bowman, Dale, et al.. (2005). Bayesian bootstrap methods for developmental toxicity studies. Journal of Statistical Computation and Simulation. 75(2). 81–91. 3 indexed citations

13.

Hunt, Daniel & Dale Bowman. (2004). A Parametric Model for Detecting Hormetic Effects in Developmental Toxicity Studies. Risk Analysis. 24(1). 65–72. 25 indexed citations

14.

Bowman, Dale. (2001). Effects of correlation in modeling clustered binary data. Journal of Statistical Computation and Simulation. 69(4). 369–389. 3 indexed citations

15.

Bowman, Dale. (1999). A parametric independence test for clustered binary data. Statistics & Probability Letters. 41(1). 1–7. 2 indexed citations

16.

Bowman, Dale. (1998). Bayesian Bootstrap Procedures in Dose-Response Assessment. Journal of Agricultural Biological and Environmental Statistics. 3(4). 370–370. 2 indexed citations

17.

Bowman, Dale & E. Olusegun George. (1995). A Saturated Model for Analyzing Exchangeable Binary Data: Applications to Clinical and Developmental Toxicity Studies. Journal of the American Statistical Association. 90(431). 871–879. 48 indexed citations

18.

Bowman, Dale & E. Olusegun George. (1995). A Saturated Model for Analyzing Exchangeable Binary Data: Applications to Clinical and Developmental Toxicity Studies. Journal of the American Statistical Association. 90(431). 871–871. 14 indexed citations

19.

Bowman, Dale, et al.. (1995). Estimating Variance Functions in Developmental Toxicity Studies. Biometrics. 51(4). 1523–1523. 15 indexed citations

20.

George, E. Olusegun & Dale Bowman. (1995). A Full Likelihood Procedure for Analysing Exchangable Binary Data. Biometrics. 51(2). 512–512. 83 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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