Jared D. Huling
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
Papers in
-
- Advanced Causal Inference Techniques 11
- Statistical Methods and Inference 9
-
- Pelvic floor disorders treatments 8
- Co-authors
- Menggang Yu (7 shared papers)Michael A. Puskarich (1 shared paper)Dori A. Cross (1 shared paper)Hannah T. Neprash (1 shared paper)Beth A Virnig (1 shared paper)Sayeh Nikpay (1 shared paper)Guanhua Chen (4 shared papers)Maureen A. Smith (5 shared papers)
- Journals
- The Annals of Applied Statistics (3 papers)Journal of Neuro-Oncology (3 papers)Menopause The Journal of The North American Menopause Society (2 papers)Diabetes Care (2 papers)Technometrics (2 papers)
- Partner nations
- United StatesBelgiumIndia
In The Last Decade
Jared D. Huling
38 papers receiving 302 citations
Peers
Comparison fields: 5 of 101
- Statistics and Probability 34
- Health Informatics 5
- Neurology 50
- Health Information Management 13
- Medical Laboratory Technology 4
Countries citing papers authored by Jared D. Huling
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
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.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 54 | |
| 2 | 2022 | 36 | |
| 3 | 2019 | 26 | |
| 4 | 2022 | 16 | |
| 5 | 2015 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 4 |
About Jared D. Huling
Jared D. Huling is a scholar working on Statistics and Probability, Rheumatology, Neurology, General Health Professions and Epidemiology, having authored 45 papers that have together received 306 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Statistical Methods and Inference (9 papers), Pelvic floor disorders treatments (8 papers), Urinary Bladder and Prostate Research (6 papers), COVID-19 Clinical Research Studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Urinary Tract Infections Management (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Statistics and Probability (34 citations), Health Informatics (5 citations), Neurology (50 citations), Health Information Management (13 citations) and Medical Laboratory Technology (4 citations). Jared D. Huling has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Menggang Yu, Michael A. Puskarich, Dori A. Cross, Hannah T. Neprash, Beth A Virnig, Sayeh Nikpay, Guanhua Chen, Maureen A. Smith, Simon Mak and Peter Z. G. Qian. Their work appears in journals such as The Annals of Applied Statistics, Journal of Neuro-Oncology, Menopause The Journal of The North American Menopause Society, Diabetes Care and Technometrics.
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.