David Judkins

35 total papers · 485 total citations
22 papers, 372 citations indexed

About

David Judkins is a scholar working on Statistics and Probability, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, David Judkins has authored 22 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 3 papers in Sociology and Political Science and 3 papers in Economics and Econometrics. Recurrent topics in David Judkins's work include Statistical Methods and Bayesian Inference (6 papers), Advanced Causal Inference Techniques (6 papers) and Survey Sampling and Estimation Techniques (3 papers). David Judkins is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Advanced Causal Inference Techniques (6 papers) and Survey Sampling and Estimation Techniques (3 papers). David Judkins collaborates with scholars based in United States. David Judkins's co-authors include Marian Huhman, Lance D. Potter, Faye L. Wong, Andrea Piesse, Jennifer Duke, Carrie D. Heitzler, Mary Jo Nolin, Stephen W. Banspach, Kristin E. Porter and William D. Mosher and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Public Health and American Journal of Preventive Medicine.

In The Last Decade

David Judkins

19 papers receiving 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Judkins	133	93	91	66	58	22	372
Andrea Piesse	100 0.8×	112 1.2×	81 0.9×	106 1.6×	88 1.5×	14	420
Karen Bogen	43 0.3×	30 0.3×	114 1.3×	76 1.2×	148 2.6×	17	358
Sterling K. Gerber	56 0.4×	44 0.5×	66 0.7×	14 0.2×	45 0.8×	12	406
Karen Huchting	23 0.2×	157 1.7×	104 1.1×	29 0.4×	43 0.7×	17	388
Jan Lewis	104 0.8×	10 0.1×	108 1.2×	12 0.2×	55 0.9×	14	367
Lisa Maguire	71 0.5×	19 0.2×	99 1.1×	11 0.2×	34 0.6×	31	413
Nicole Senft	112 0.8×	37 0.4×	149 1.6×	35 0.5×	59 1.0×	31	420
Ruth Plackett	76 0.6×	43 0.5×	62 0.7×	48 0.7×	94 1.6×	24	350
Linda G. Kimmel	101 0.8×	5 0.1×	71 0.8×	70 1.1×	97 1.7×	20	420
Jennifer R. Warren	72 0.5×	40 0.4×	127 1.4×	42 0.6×	131 2.3×	28	420

Countries citing papers authored by David Judkins

Since Specialization

Citations

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

Fields of papers citing papers by David Judkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Judkins

This figure shows the co-authorship network connecting the top 25 collaborators of David Judkins. A scholar is included among the top collaborators of David Judkins 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 David Judkins. David Judkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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