Jared D. Huling

2.5k citations
47 papers · 349 · h-index 10

Impact in

Papers in

    • Advanced Causal Inference Techniques 11
    • Statistical Methods and Inference 9
    • Statistical Methods and Bayesian Inference 3
    • Statistical Methods in Clinical Trials 3
    • Health Systems, Economic Evaluations, Quality of Life 5

Jared D. Huling

41 papers receiving 343 citations

Peers

Jared D. Huling
Comparison fields: 5 of 94
  • Health Informatics 7
  • Statistics and Probability 35
  • Neurology 40
  • Health Information Management 12
  • Medical Laboratory Technology 3
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Citations per field
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Citations per year

Countries citing papers authored by Jared D. Huling

Since Specialization
Citations

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

Fields of papers citing papers by Jared D. Huling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared D. Huling. 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 Jared D. Huling. The network helps show where Jared D. Huling may publish in the future.

Co-authors

The 25 scholars most cited alongside Jared D. Huling, 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 Jared D. Huling Line = papers co-authored together Jared D. Huling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202268
2 202238
3 201928
4 202224
5 201514
6 202314
7 202113
8 202112
9 201711
10 202411
11 20229
12 20238
13 20228
14 20237
15 20236
16 20236
17 20236
18 20235
19 20225
20 20245

About Jared D. Huling

Jared D. Huling is a scholar working on Statistics and Probability, Economics and Econometrics, Urology, Epidemiology and Neurology, having authored 47 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Statistical Methods and Inference (9 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Urinary Bladder and Prostate Research (4 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods in Clinical Trials (3 papers), Control Systems and Identification (2 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Health Informatics (7 citations), Statistics and Probability (35 citations), Neurology (40 citations), Health Information Management (12 citations) and Medical Laboratory Technology (3 citations). Jared D. Huling has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Menggang Yu, Sayeh Nikpay, Hannah T. Neprash, Michael A. Puskarich, Dori A. Cross, Beth A Virnig, Guanhua Chen, Maureen A. Smith, Simon Mak and Clark C. Chen. Their work appears in journals such as The Annals of Applied Statistics, Journal of Neuro-Oncology, Neurourology and Urodynamics, Journal of neurosurgery and Journal of the American Statistical Association.

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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