Hani Doss

2.5k total citations
45 papers, 1.7k citations indexed

About

Hani Doss is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hani Doss has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Hani Doss's work include Statistical Methods and Inference (23 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Methods and Bayesian Inference (16 papers). Hani Doss is often cited by papers focused on Statistical Methods and Inference (23 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Methods and Bayesian Inference (16 papers). Hani Doss collaborates with scholars based in United States, Taiwan and Netherlands. Hani Doss's co-authors include Deborah Doss, Randall E. Harris, Dennis K. Pearl, Shuying Li, Deborah Burr, Todd M. Manini, Richard D. Gill, Xiaotong Shen, Yufeng Liu and Gang Li and has published in prestigious journals such as Journal of the American Statistical Association, Cancer Research and Statistics in Medicine.

In The Last Decade

Hani Doss

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hani Doss United States	19	515	401	292	264	252	45	1.7k
Sanjib Basu United States	29	339 0.7×	134 0.3×	496 1.7×	149 0.6×	43 0.2×	164	2.5k
Russell A. Wilke United States	34	225 0.4×	189 0.5×	1.2k 4.3×	192 0.7×	99 0.4×	93	4.5k
Eugene F. Schuster United States	28	523 1.0×	252 0.6×	1.6k 5.5×	773 2.9×	80 0.3×	84	4.2k
Xuming He United States	31	1.5k 3.0×	378 0.9×	309 1.1×	97 0.4×	46 0.2×	107	2.8k
Melissa Basford United States	19	121 0.2×	537 1.3×	942 3.2×	82 0.3×	47 0.2×	36	2.6k
Robert R. Freimuth United States	25	99 0.2×	167 0.4×	819 2.8×	65 0.2×	53 0.2×	70	2.3k
Chetan P. Hans United States	27	134 0.3×	109 0.3×	597 2.0×	128 0.5×	41 0.2×	49	2.1k
Anna Bauer‐Mehren United States	18	82 0.2×	194 0.5×	1.2k 4.2×	67 0.3×	37 0.1×	31	2.4k
Heinz Schmidli Switzerland	31	1.1k 2.1×	76 0.2×	274 0.9×	82 0.3×	19 0.1×	78	2.6k
Herbert Chase United States	24	69 0.1×	293 0.7×	830 2.8×	80 0.3×	75 0.3×	56	1.8k

Countries citing papers authored by Hani Doss

Since Specialization

Citations

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

Fields of papers citing papers by Hani Doss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hani Doss

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

All Works

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20 of 20 papers shown

Doss, Hani & Antonio R. Linero. (2024). Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis. Statistical Science. 39(4). 601–622.

Yang, Chun-Hao, Hani Doss, & Baba C. Vemuri. (2022). An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices. Journal of the American Statistical Association. 119(545). 259–272. 1 indexed citations

Doss, Hani, et al.. (2018). Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model. Journal of Machine Learning Research. 18(162). 1–38. 36 indexed citations

Anton, Stephen D., Michael Marsiske, Xiaomin Lu, et al.. (2014). Safety and metabolic outcomes of resveratrol supplementation in older adults: results of a twelve-week, placebo-controlled pilot study. Experimental Gerontology. 57. 181–187. 75 indexed citations

Cesari, Matteo, Bruno Vellas, Fang‐Chi Hsu, et al.. (2014). A Physical Activity Intervention to Treat the Frailty Syndrome in Older Persons--Results From the LIFE-P Study. The Journals of Gerontology Series A. 70(2). 216–222. 264 indexed citations

Doss, Hani, et al.. (2014). Honest Importance Sampling With Multiple Markov Chains. Journal of Computational and Graphical Statistics. 24(3). 792–826. 4 indexed citations

Harris, Randall E., et al.. (2005). Aspirin, ibuprofen, and other non-steroidal anti-inflammatory drugs in cancer prevention: A critical review of non-selective COX-2 blockade (Review). Oncology Reports. 13(4). 559–83. 337 indexed citations

Liu, Yufeng, Xiaotong Shen, & Hani Doss. (2005). Multicategory ψ-Learning and Support Vector Machine: Computational Tools. Journal of Computational and Graphical Statistics. 14(1). 219–236. 79 indexed citations

Burr, Deborah, Hani Doss, Glen E. Cooke, & Pascal J. Goldschmidt‐Clermont. (2003). A meta‐analysis of studies on the association of the platelet PlA polymorphism of glycoprotein IIIa and risk of coronary heart disease. Statistics in Medicine. 22(10). 1741–1760. 51 indexed citations

10.

Doss, Hani & Balasubramanian Narasimhan. (1999). Dynamic Display of Changing Posterior in Bayesian Survival Analysis: The Software. Journal of Statistical Software. 4(3). 17 indexed citations

11.

Doss, Hani, et al.. (1997). Bayesian nonparametric estimation via Gibbs sampling for coherent systems with redundancy. The Annals of Statistics. 25(3). 1 indexed citations

12.

Doss, Hani, et al.. (1994). Choosing the Resampling Scheme when Bootstrapping: A Case Study in Reliability. Journal of the American Statistical Association. 89(425). 298–308. 7 indexed citations

13.

Burr, Deborah & Hani Doss. (1993). Confidence Bands for the Median Survival Time as a Function of the Covariates in the Cox Model. Journal of the American Statistical Association. 88(424). 1330–1340. 19 indexed citations

14.

Doss, Hani, et al.. (1993). On identifiability in the autopsy model of reliability theory. Journal of Applied Probability. 30(4). 913–930. 2 indexed citations

15.

Doss, Hani, et al.. (1993). On identifiability in the autopsy model of reliability theory. Journal of Applied Probability. 30(4). 913–930. 7 indexed citations

16.

Doss, Hani & Richard D. Gill. (1992). An Elementary Approach to Weak Convergence for Quantile Processes, with Applications to Censored Survival Data. Journal of the American Statistical Association. 87(419). 869–877. 45 indexed citations

17.

Doss, Hani & Richard D. Gill. (1992). An Elementary Approach to Weak Convergence for Quantile Processes, With Applications to Censored Survival Data. Journal of the American Statistical Association. 87(419). 869–869. 14 indexed citations

18.

Doss, Hani, et al.. (1989). Estimating Jointly System and Component Reliabilities Using a Mutual Censorship Approach. The Annals of Statistics. 17(2). 10 indexed citations

19.

Doss, Hani & Jayaram Sethuraman. (1989). The Price of Bias Reduction when there is no Unbiased Estimate. The Annals of Statistics. 17(1). 20 indexed citations

20.

Doss, Hani. (1984). Bayesian estimation in the symmetric location problem. Probability Theory and Related Fields. 68(2). 127–147. 9 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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