Jennifer Hill

24.8k total citations · 5 hit papers
146 papers, 16.7k citations indexed

About

Jennifer Hill is a scholar working on General Health Professions, Statistics and Probability and Epidemiology. According to data from OpenAlex, Jennifer Hill has authored 146 papers receiving a total of 16.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in General Health Professions, 25 papers in Statistics and Probability and 18 papers in Epidemiology. Recurrent topics in Jennifer Hill's work include Advanced Causal Inference Techniques (17 papers), Statistical Methods and Bayesian Inference (16 papers) and Adolescent Sexual and Reproductive Health (11 papers). Jennifer Hill is often cited by papers focused on Advanced Causal Inference Techniques (17 papers), Statistical Methods and Bayesian Inference (16 papers) and Adolescent Sexual and Reproductive Health (11 papers). Jennifer Hill collaborates with scholars based in United States, United Kingdom and Canada. Jennifer Hill's co-authors include Andrew Gelman, Masanao Yajima, Andrew Gelman, Jane Waldfogel, Yu‐Sung Su, Elwin Wu, Louisa Gilbert, Nabila El‐Bassel, Andrew Gelman and Jeanne Brooks‐Gunn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Jennifer Hill

136 papers receiving 15.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data Analysis Using Regression and Multilevel/Hierarchical Models

2006 9.9k citations Jennifer Hill et al. profile →
Why We (Usually) Don't Have to Worry About Multiple Comparisons

2012 884 citations Jennifer Hill et al. profile →
Bayesian Nonparametric Modeling for Causal Inference

2010 559 citations Jennifer Hill profile →
Multiple Imputation with Diagnostics (mi) inR: Opening Windows into the Black Box

2011 483 citations Jennifer Hill et al. profile →
Regression and Other Stories

2020 333 citations Jennifer Hill et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Hill United States	38	2.6k	2.2k	1.8k	1.7k	1.5k	146	16.7k
David W. Hosmer United States	46	3.1k 1.2×	2.1k 1.0×	5.0k 2.7×	3.0k 1.8×	3.0k 2.1×	114	50.4k
Alan Agresti United States	61	2.3k 0.9×	6.9k 3.2×	1.4k 0.7×	1.7k 1.0×	2.1k 1.4×	164	28.3k
Stanley Lemeshow United States	71	3.3k 1.3×	2.1k 0.9×	5.0k 2.7×	3.0k 1.8×	3.6k 2.4×	227	59.4k
Yves Rosseel Belgium	42	4.0k 1.5×	1.0k 0.5×	1.8k 1.0×	905 0.5×	563 0.4×	141	24.1k
Jan de Leeuw Netherlands	44	2.0k 0.8×	1.8k 0.8×	769 0.4×	672 0.4×	995 0.7×	207	13.4k
Lawrence L. Kupper United States	55	2.2k 0.9×	1.8k 0.8×	3.6k 2.0×	1.3k 0.8×	1.7k 1.1×	183	29.9k
J. Richard Landis United States	68	4.3k 1.6×	2.1k 1.0×	5.2k 2.8×	1.9k 1.2×	2.5k 1.7×	246	81.1k
Wolfgang Viechtbauer Netherlands	55	2.3k 0.9×	1.0k 0.5×	1.7k 0.9×	1.4k 0.8×	939 0.6×	186	34.2k
Stef van Buuren Netherlands	54	2.0k 0.8×	3.4k 1.5×	2.6k 1.4×	394 0.2×	1.4k 1.0×	209	30.1k
John E. Hunter United States	69	4.6k 1.8×	1.1k 0.5×	1.2k 0.6×	622 0.4×	2.1k 1.4×	295	28.3k

Countries citing papers authored by Jennifer Hill

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Hill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Hill. A scholar is included among the top collaborators of Jennifer Hill 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 Jennifer Hill. Jennifer Hill 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

Potter, J.A., Lei Yang, Jennifer Hill, et al.. (2024). HEX17(Neumifil): An intranasal respiratory biotherapeutic with broad-acting antiviral activity. Antiviral Research. 228. 105945–105945. 2 indexed citations

Hill, Jennifer, et al.. (2024). CAUSAL LANGUAGE AND STATISTICS INSTRUCTION: EVIDENCE FROM A RANDOMIZED EXPERIMENT. Statistics Education Research Journal. 23(1).

McAllister, Tara, et al.. (2024). Comparing online versus laboratory measures of speech perception in older children and adolescents. PLoS ONE. 19(2). e0297530–e0297530.

Mathur, Sameer K., Jennifer Hill, Christopher S. Ambrose, et al.. (2023). Effect Of Tezepelumab In Patients With Severe, Uncontrolled Asthma By Age Of Onset, Allergic Status, And Eosinophilic Phenotype. Journal of Allergy and Clinical Immunology. 151(2). AB17–AB17. 1 indexed citations

Hill, Jennifer, et al.. (2021). Multi-level longitudinal learning curve regression models integrated with item difficulty metrics for deliberate practice of visual diagnosis: groundwork for adaptive learning. Advances in Health Sciences Education. 26(3). 881–912. 6 indexed citations

Dorie, Vincent, Jennifer Hill, Uri Shalit, Marc Scott, & Daniel Cervone. (2018). Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition.. Grantee Submission. 6 indexed citations

LaVela, Sherri L., Salva Balbale, & Jennifer Hill. (2018). Experience and Utility of Using the Participatory Research Method, Photovoice, in Individuals With Spinal Cord Injury. Topics in Spinal Cord Injury Rehabilitation. 24(4). 295–305. 8 indexed citations

Bokhour, Barbara G., Gemmae M. Fix, Nora Mueller, et al.. (2018). How can healthcare organizations implement patient-centered care? Examining a large-scale cultural transformation. BMC Health Services Research. 18(1). 168–168. 150 indexed citations

Perencevich, Eli N., Anthony D. Harris, Christopher D. Pfeiffer, et al.. (2018). Establishing a Research Agenda for Preventing Transmission of Multidrug-Resistant Organisms in Acute-Care Settings in the Veterans Health Administration. Infection Control and Hospital Epidemiology. 39(2). 189–195. 3 indexed citations

10.

Canelas, Dorian A., et al.. (2017). Cooperative learning in organic chemistry increases student assessment of learning gains in key transferable skills. Chemistry Education Research and Practice. 18(3). 441–456. 68 indexed citations

11.

Basel, Matthew T., Sanjeev Narayanan, Chanran Ganta, et al.. (2017). Developing a xenograft human tumor model in immunocompetent mice. Cancer Letters. 412. 256–263. 14 indexed citations

12.

LaVela, Sherri L., et al.. (2016). Do perceptions of family-centered care differ in older and younger family/caregivers of U.S. veterans?. Families Systems & Health. 34(2). 136–149. 5 indexed citations

13.

Hogan, Timothy P., Jennifer Hill, Sara M. Locatelli, et al.. (2015). Health Information Seeking and Technology Use Among Veterans With Spinal Cord Injuries and Disorders. PM&R. 8(2). 123–130. 39 indexed citations

14.

Hill, Jennifer, Scott Miskevics, & Sherri L. LaVela. (2014). Electronic Medical Record Documentation of Practices, Patient Experiences, and Impacts of Integrative Medicine. The Journal of Alternative and Complementary Medicine. 20(5). A113–A113. 1 indexed citations

15.

Thompson, Robert J., Liliana Paredes, Edna Andrews, et al.. (2014). Development and Assessment of the Effectiveness of an Undergraduate General Education Foreign Language Requirement. Foreign Language Annals. 47(4). 653–668. 5 indexed citations

16.

Hill, Jennifer, Charlesnika T. Evans, Kenzie A. Cameron, et al.. (2013). Patient and provider perspectives on methicillin-resistantStaphylococcus aureus: A qualitative assessment of knowledge, beliefs, and behavior. Journal of Spinal Cord Medicine. 36(2). 82–90. 8 indexed citations

17.

Neidell, Matthew, Bevin Cohen, Yoko Furuya, et al.. (2012). Costs of Healthcare- and Community-Associated Infections With Antimicrobial-Resistant Versus Antimicrobial-Susceptible Organisms. Clinical Infectious Diseases. 55(6). 807–815. 170 indexed citations

18.

Hill, Jennifer, Jane Waldfogel, Jeanne Brooks‐Gunn, & Wen‐Jui Han. (2005). Maternal Employment and Child Development: A Fresh Look Using Newer Methods.. Developmental Psychology. 41(6). 833–850. 150 indexed citations

19.

Whitaker, T., et al.. (2004). Scoring analysis of completing pre-novice event horses at six selected events. 1(3). 185–192. 7 indexed citations

20.

Hill, Jennifer. (2002). Discussion of Paul Rosenbaum's “Covariance Adjustment in Randomized Experiments and Observational Studies". Statistical Science. 17(3). 307–309. 1 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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