Paul R. Bienkowski

60 total papers · 928 total citations
47 papers, 728 citations indexed

About

Paul R. Bienkowski is a scholar working on Biomedical Engineering, Pollution and Molecular Biology. According to data from OpenAlex, Paul R. Bienkowski has authored 47 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 13 papers in Pollution and 12 papers in Molecular Biology. Recurrent topics in Paul R. Bienkowski's work include Phase Equilibria and Thermodynamics (13 papers), Wastewater Treatment and Nitrogen Removal (10 papers) and Microbial bioremediation and biosurfactants (9 papers). Paul R. Bienkowski is often cited by papers focused on Phase Equilibria and Thermodynamics (13 papers), Wastewater Treatment and Nitrogen Removal (10 papers) and Microbial bioremediation and biosurfactants (9 papers). Paul R. Bienkowski collaborates with scholars based in United States. Paul R. Bienkowski's co-authors include Gary S. Sayler, A. Heitzer, Michael R. Ladisch, David C. White, Marcio Voloch, Kwang‐Chu Chao, V. M. Shah, H. D. Cochran, Juan Hong and Ramáni Narayan and has published in prestigious journals such as The Journal of Chemical Physics, Environmental Science & Technology and Applied and Environmental Microbiology.

In The Last Decade

Paul R. Bienkowski

45 papers receiving 677 citations

Author Peers

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

Author						Papers	Cites
Paul R. Bienkowski	407	281	113	83	81	47	728
José A. Manso	203 0.5×	189 0.7×	104 0.9×	12 0.1×	174 2.1×	50	797
Guido Greco	163 0.4×	375 1.3×	34 0.3×	62 0.7×	147 1.8×	48	806
Cédric Malherbe	96 0.2×	132 0.5×	73 0.6×	22 0.3×	31 0.4×	61	707
Yasuhiro Sakurai	146 0.4×	122 0.4×	224 2.0×	18 0.2×	95 1.2×	82	848
Ming Lv	192 0.5×	95 0.3×	146 1.3×	38 0.5×	90 1.1×	33	789
Peter J. Baugh	217 0.5×	82 0.3×	123 1.1×	9 0.1×	75 0.9×	56	811
Michel Baron	129 0.3×	132 0.5×	39 0.3×	15 0.2×	275 3.4×	44	854
Bo Liu	214 0.5×	128 0.5×	25 0.2×	12 0.1×	64 0.8×	42	815
Minoru Akiyama	108 0.3×	160 0.6×	181 1.6×	41 0.5×	103 1.3×	48	787
Ashok Kumar Das	164 0.4×	161 0.6×	50 0.4×	57 0.7×	69 0.9×	41	844

Countries citing papers authored by Paul R. Bienkowski

Since Specialization

Citations

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

Fields of papers citing papers by Paul R. Bienkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul R. Bienkowski

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