David R. Bickel

192 total papers · 1.4k total citations
90 papers, 933 citations indexed

About

David R. Bickel is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, David R. Bickel has authored 90 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 37 papers in Molecular Biology and 23 papers in Artificial Intelligence. Recurrent topics in David R. Bickel's work include Statistical Methods in Clinical Trials (26 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (21 papers). David R. Bickel is often cited by papers focused on Statistical Methods in Clinical Trials (26 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (21 papers). David R. Bickel collaborates with scholars based in Canada, United States and Brazil. David R. Bickel's co-authors include R. Frühwirth, Bruce J. West, Bin Hu, O. S. Smith, Mary A. Rupe, Mei Guo, Sean H. Adams, Mary‐Ellen Harper, Véronic Bézaire and Erin L. Seifert and has published in prestigious journals such as Bioinformatics, PLoS ONE and The FASEB Journal.

In The Last Decade

David R. Bickel

84 papers receiving 898 citations

Author Peers

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

Author						Papers	Cites
David R. Bickel	363	309	187	133	92	90	933
Arnab Maity	354 1.0×	248 0.8×	130 0.7×	218 1.6×	38 0.4×	69	1.2k
Małgorzata Bogdan	297 0.8×	119 0.4×	125 0.7×	269 2.0×	46 0.5×	68	1.2k
Xianyang Zhang	319 0.9×	354 1.1×	110 0.6×	62 0.5×	30 0.3×	70	1.2k
Daniel Barry	299 0.8×	241 0.8×	271 1.4×	155 1.2×	54 0.6×	28	1.0k
Béatrice Laurent	361 1.0×	139 0.4×	265 1.4×	49 0.4×	235 2.6×	50	1.1k
Claude Bélisle	118 0.3×	291 0.9×	135 0.7×	131 1.0×	27 0.3×	42	1.2k
Julia Mortera	176 0.5×	267 0.9×	317 1.7×	474 3.6×	47 0.5×	42	926
Lev B. Klebanov	290 0.8×	584 1.9×	139 0.7×	116 0.9×	27 0.3×	84	1.2k
Anindya Roy	325 0.9×	86 0.3×	220 1.2×	28 0.2×	83 0.9×	73	1.1k
Nigel Bean	144 0.4×	112 0.4×	55 0.3×	71 0.5×	46 0.5×	92	1.2k

Countries citing papers authored by David R. Bickel

Since Specialization

Citations

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

Fields of papers citing papers by David R. Bickel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Bickel

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Bickel. A scholar is included among the top collaborators of David R. Bickel 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 R. Bickel. David R. Bickel 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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