William G. Bulgren

46 total papers · 530 total citations
32 papers, 387 citations indexed

About

William G. Bulgren is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, William G. Bulgren has authored 32 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in William G. Bulgren's work include Statistical Distribution Estimation and Applications (11 papers), Bayesian Methods and Mixture Models (5 papers) and Teaching and Learning Programming (5 papers). William G. Bulgren is often cited by papers focused on Statistical Distribution Estimation and Applications (11 papers), Bayesian Methods and Mixture Models (5 papers) and Teaching and Learning Programming (5 papers). William G. Bulgren collaborates with scholars based in United States. William G. Bulgren's co-authors include Keewhan Choi, W. Molenaar, D. E. Amos, John E. Hewett, Gerald R. Chase, Richard L. Dykstra, Earl J. Schweppe, Rose M. Marra and Victor L. Wallace and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

William G. Bulgren

29 papers receiving 324 citations

Author Peers

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

Author						Papers	Cites
William G. Bulgren	258	109	79	67	29	32	387
Zahra Almaspoor	150 0.6×	71 0.7×	37 0.5×	37 0.6×	16 0.6×	34	408
Rosario Romera	125 0.5×	94 0.9×	45 0.6×	59 0.9×	61 2.1×	28	367
B. K. Kale	292 1.1×	107 1.0×	96 1.2×	66 1.0×	34 1.2×	38	416
Abd Al-Aziz Hosni El-Bagoury	175 0.7×	109 1.0×	52 0.7×	102 1.5×	22 0.8×	30	409
John G. Saw	187 0.7×	67 0.6×	117 1.5×	45 0.7×	36 1.2×	36	435
Mohammad Shakil	212 0.8×	112 1.0×	76 1.0×	50 0.7×	17 0.6×	43	369
Danny Dyer	231 0.9×	108 1.0×	61 0.8×	49 0.7×	49 1.7×	36	369
G.P. Steck	218 0.8×	57 0.5×	118 1.5×	84 1.3×	11 0.4×	26	421
Gholamhossein Yari	227 0.9×	160 1.5×	67 0.8×	127 1.9×	33 1.1×	41	437
P. Jodrá	270 1.0×	149 1.4×	59 0.7×	25 0.4×	47 1.6×	29	392

Countries citing papers authored by William G. Bulgren

Since Specialization

Citations

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

Fields of papers citing papers by William G. Bulgren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Bulgren. 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 William G. Bulgren. The network helps show where William G. Bulgren may publish in the future.

Co-authorship network of co-authors of William G. Bulgren

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Bulgren. A scholar is included among the top collaborators of William G. Bulgren 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 William G. Bulgren. William G. Bulgren 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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