S. T. Bagley

27 total papers · 728 total citations
25 papers, 544 citations indexed

About

S. T. Bagley is a scholar working on Automotive Engineering, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, S. T. Bagley has authored 25 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 11 papers in Biomedical Engineering and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in S. T. Bagley's work include Vehicle emissions and performance (12 papers), Catalytic Processes in Materials Science (8 papers) and Air Quality and Health Impacts (8 papers). S. T. Bagley is often cited by papers focused on Vehicle emissions and performance (12 papers), Catalytic Processes in Materials Science (8 papers) and Air Quality and Health Impacts (8 papers). S. T. Bagley collaborates with scholars based in United States. S. T. Bagley's co-authors include Ramon J. Seidler, G.T. Kleinheinz, David G. Leddy, John H. Johnson, Linda D. Gratz, Kirby J. Baumgard, Srisuda Dhamwichukorn, G.D. McGinnis, Jackson P. Scholl and G. Hunter and has published in prestigious journals such as Applied and Environmental Microbiology, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Microbiological Methods.

In The Last Decade

S. T. Bagley

23 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
S. T. Bagley	199	181	100	96	78	25	544
John Kasumba	76 0.4×	181 1.0×	61 0.6×	52 0.5×	5 0.1×	20	505
Paul T.J. Scheepers	44 0.2×	261 1.4×	26 0.3×	40 0.4×	3 0.0×	33	533
Sébastien Fournel	14 0.1×	60 0.3×	20 0.2×	159 1.7×	38 0.5×	31	596
Diane Purcell	35 0.2×	105 0.6×	27 0.3×	110 1.1×	3 0.0×	15	514
Yu‐Cheng Chang	95 0.5×	59 0.3×	96 1.0×	307 3.2×	3 0.0×	23	509
Yunhua Zhang	220 1.1×	89 0.5×	192 1.9×	117 1.2×	2 0.0×	51	566
Bernardo Predicala	41 0.2×	199 1.1×	75 0.8×	61 0.6×	216 2.8×	63	607
G.T. Kleinheinz	55 0.3×	83 0.5×	18 0.2×	84 0.9×	110 1.4×	14	505
Chu Wang	119 0.6×	243 1.3×	18 0.2×	42 0.4×	2 0.0×	32	478
Meng-Fei Han	32 0.2×	145 0.8×	43 0.4×	45 0.5×	206 2.6×	22	463

Countries citing papers authored by S. T. Bagley

Since Specialization

Citations

This map shows the geographic impact of S. T. Bagley'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 S. T. Bagley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. T. Bagley more than expected).

Fields of papers citing papers by S. T. Bagley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. T. Bagley. 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 S. T. Bagley. The network helps show where S. T. Bagley may publish in the future.

Co-authorship network of co-authors of S. T. Bagley

This figure shows the co-authorship network connecting the top 25 collaborators of S. T. Bagley. A scholar is included among the top collaborators of S. T. Bagley 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 S. T. Bagley. S. T. Bagley 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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