Hani Doss

2.5k citations
43 papers · 1.9k · h-index 19

Impact in

    • Frailty in Older Adults
    • Statistical Methods and Inference
    • Markov Chains and Monte Carlo Methods
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference

Papers in

    • Markov Chains and Monte Carlo Methods 14
    • Statistical Distribution Estimation and Applications 12
    • Statistical Methods and Inference 8
    • Probability and Statistical Research 3
    • Statistical Methods and Bayesian Inference 2
    • Bayesian Methods and Mixture Models 15
    • Topic Modeling 2

Hani Doss

42 papers receiving 1.7k citations

Peers

Hani Doss
Comparison fields: 5 of 148
  • Geriatrics and Gerontology 267
  • Statistics and Probability 482
  • Pharmacology 166
  • Genetics 89
  • Artificial Intelligence 283
Replace Anna Bauer‐Mehren with:
Anna Bauer‐Mehren United States
Sijian Wang United States
Robert R. Freimuth United States
Vikram P. Sinha United States
Pengyue Zhang United States
Lijia Wang China
Herbert S Chase United States
Keith Tan United Kingdom
Dorien W. Voskuil Netherlands
Hani Doss relative to Anna Bauer‐Mehren United States Anna Bauer‐Mehren's profile →
Citations per field
00.5×5×10.0×
Anna Bauer‐Mehren · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hani Doss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hani Doss Line = papers co-authored together Hani Doss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005353
2 2014297
3 2000192
4 2005107
5 200589
6 201480
7 199476
8 200562
9 200356
10 199652
11 199349
12 201848
13 199244
14 199541
15 198538
16 198528
17 198224
18 198921
19 198919
20 199318

About Hani Doss

Hani Doss is a scholar working on Statistics and Probability, Artificial Intelligence, Safety, Risk, Reliability and Quality, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Markov Chains and Monte Carlo Methods (14 papers), Statistical Distribution Estimation and Applications (12 papers), Statistical Methods and Inference (8 papers), Reliability and Maintenance Optimization (4 papers), Probability and Statistical Research (3 papers), Topic Modeling (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Geriatrics and Gerontology (267 citations), Statistics and Probability (482 citations), Pharmacology (166 citations), Genetics (89 citations) and Artificial Intelligence (283 citations). Hani Doss has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Randall E. Harris, Joanne Beebe-Donk, Deborah S. Doss, Dennis K. Pearl, Shuying Li, Deborah L. Burr, Todd Matthew Manini, Xiaotong Shen, Yufeng Liu and Jayaram Sethuraman. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, Statistics in Medicine and Statistical Science.

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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