Jeff Gill

2.5k total citations
45 papers, 1.6k citations indexed

About

Jeff Gill is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Jeff Gill has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Jeff Gill's work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (8 papers) and Electoral Systems and Political Participation (4 papers). Jeff Gill is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (8 papers) and Electoral Systems and Political Participation (4 papers). Jeff Gill collaborates with scholars based in United States, Switzerland and Germany. Jeff Gill's co-authors include Minjung Kyung, Malay Ghosh, George Casella, Kenneth J. Meier, Lee Demetrius Walker, Christopher Witko, Gary King, Jung Ae Lee, Allan Doctor and David K. Warren and has published in prestigious journals such as PEDIATRICS, Clinical Infectious Diseases and The Lancet Neurology.

In The Last Decade

Jeff Gill

42 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Gill United States	18	360	241	235	212	195	45	1.6k
James Honaker United States	12	287 0.8×	325 1.3×	802 3.4×	497 2.3×	370 1.9×	20	2.9k
Walter R. Mebane United States	18	352 1.0×	245 1.0×	403 1.7×	445 2.1×	274 1.4×	37	1.4k
Gudmund R. Iversen United States	13	293 0.8×	155 0.6×	193 0.8×	96 0.5×	172 0.9×	36	2.6k
Daniel L. Oberski Netherlands	26	339 0.9×	288 1.2×	534 2.3×	141 0.7×	113 0.6×	93	2.4k
Ulf Olsson Sweden	27	331 0.9×	97 0.4×	256 1.1×	82 0.4×	168 0.9×	112	3.2k
Sharon L. Lohr United States	19	661 1.8×	249 1.0×	661 2.8×	93 0.4×	446 2.3×	69	3.0k
Jeffrey B. Lewis United States	21	130 0.4×	139 0.6×	695 3.0×	973 4.6×	598 3.1×	39	2.7k
Philippe Pierre France	14	94 0.3×	170 0.7×	276 1.2×	145 0.7×	79 0.4×	54	1.7k
David Steel Australia	19	174 0.5×	58 0.2×	348 1.5×	71 0.3×	347 1.8×	82	1.6k
Yu‐Sung Su China	12	257 0.7×	119 0.5×	127 0.5×	70 0.3×	203 1.0×	22	1.1k

Countries citing papers authored by Jeff Gill

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Gill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Gill

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

Murr, Andreas, Richard Traunmüller, & Jeff Gill. (2022). Computing quantities of interest and their uncertainty using Bayesian simulation. Political Science Research and Methods. 11(3). 623–632. 1 indexed citations

Slobogean, Gerard P., Greg E. Gaski, Jason W. Nascone, et al.. (2021). A Prospective Clinical Trial Comparing Surgical Fixation Versus Nonoperative Management of Minimally Displaced Complete Lateral Compression Pelvis Fractures. Journal of Orthopaedic Trauma. 35(11). 592–598. 29 indexed citations

Howard, Steven W., Zidong Zhang, Paula Buchanan, et al.. (2018). The cost of a pediatric neurocritical care program for traumatic brain injury: a retrospective cohort study. BMC Health Services Research. 18(1). 20–20. 4 indexed citations

Gill, Jeff. (2018). Comments from the New Editor. Political Analysis. 26(1). 1–2. 14 indexed citations

Kolovos, Nikoleta S., Jeff Gill, Peter H. Michelson, Allan Doctor, & Mary E. Hartman. (2018). Reduction in Mortality Following Pediatric Rapid Response Team Implementation*. Pediatric Critical Care Medicine. 19(5). 477–482. 25 indexed citations

Steffen, Katherine, Allan Doctor, Jeff Gill, et al.. (2017). Controlling Phlebotomy Volume Diminishes PICU Transfusion: Implementation Processes and Impact. PEDIATRICS. 140(2). 13 indexed citations

Neumayr, Tara M., Jeff Gill, Julie C. Fitzgerald, et al.. (2017). Identifying Risk for Acute Kidney Injury in Infants and Children Following Cardiac Arrest*. Pediatric Critical Care Medicine. 18(10). e446–e454. 10 indexed citations

Jafarzadeh, S. Reza, Benjamin S. Thomas, David K. Warren, Jeff Gill, & Victoria J. Fraser. (2016). Longitudinal Study of the Effects of Bacteremia and Sepsis on 5-year Risk of Cardiovascular Events. Clinical Infectious Diseases. 63(4). 495–500. 32 indexed citations

Jafarzadeh, S. Reza, Benjamin S. Thomas, Jeff Gill, et al.. (2016). Sepsis surveillance from administrative data in the absence of a perfect verification. Annals of Epidemiology. 26(10). 717–722.e1. 6 indexed citations

10.

Lee, Jung Ae & Jeff Gill. (2016). Missing value imputation for physical activity data measured by accelerometer. Statistical Methods in Medical Research. 27(2). 490–506. 34 indexed citations

11.

Gill, Jeff, et al.. (2015). Maternal Obesity, Cage Density, and Age Contribute to Prostate Hyperplasia in Mice. Reproductive Sciences. 23(2). 176–185. 3 indexed citations

12.

Jafarzadeh, S. Reza, Benjamin S. Thomas, Jonas Marschall, et al.. (2015). Quantifying the improvement in sepsis diagnosis, documentation, and coding: the marginal causal effect of year of hospitalization on sepsis diagnosis. Annals of Epidemiology. 26(1). 66–70. 21 indexed citations

13.

Gill, Jeff & John R. Freeman. (2013). Dynamic elicited priors for updating covert networks. Network Science. 1(1). 68–94. 6 indexed citations

14.

Pineda, Jose A., Jeffrey R. Leonard, Michael J. Noetzel, et al.. (2012). Effect of implementation of a paediatric neurocritical care programme on outcomes after severe traumatic brain injury: a retrospective cohort study. The Lancet Neurology. 12(1). 45–52. 67 indexed citations

15.

Goode, Adam P., Chad Cook, Jeff Gill, et al.. (2011). The Risk of Risk-Adjustment Measures for Perioperative Spine Infection After Spinal Surgery. Spine. 36(9). 752–758. 20 indexed citations

16.

Casella, George, Malay Ghosh, Jeff Gill, & Minjung Kyung. (2010). Penalized regression, standard errors, and Bayesian lassos. Bayesian Analysis. 5(2). 351 indexed citations

17.

Hangartner, Dominik & Jeff Gill. (2009). Circular Data in Political Science, Seminar on Bayesian Inference in Econometrics and Statistics, April 2, 2009, Saint Louis, USA. Bern Open Repository and Information System (University of Bern). 1 indexed citations

18.

Gill, Jeff. (2002). Bayesian Methods. 403 indexed citations

19.

Meier, Kenneth J. & Jeff Gill. (2000). What Works : A New Approach to Program and Policy Analysis. 30 indexed citations

20.

Gill, Jeff & Kenneth J. Meier. (2000). Public Administration Research and Practice: A Methodological Manifesto. Journal of Public Administration Research and Theory. 10(1). 157–199. 119 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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