Darla J. Workman

17 total papers · 827 total citations
12 papers, 655 citations indexed

About

Darla J. Workman is a scholar working on Environmental Engineering, Pollution and Global and Planetary Change. According to data from OpenAlex, Darla J. Workman has authored 12 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 4 papers in Pollution and 3 papers in Global and Planetary Change. Recurrent topics in Darla J. Workman's work include Microbial Fuel Cells and Bioremediation (4 papers), Microbial bioremediation and biosurfactants (3 papers) and Radioactive contamination and transfer (2 papers). Darla J. Workman is often cited by papers focused on Microbial Fuel Cells and Bioremediation (4 papers), Microbial bioremediation and biosurfactants (3 papers) and Radioactive contamination and transfer (2 papers). Darla J. Workman collaborates with scholars based in United States. Darla J. Workman's co-authors include Yuri A. Gorby, David W. Kennedy, James E. Amonette, J.S. Fruchter, S. W. Li, H. Bolton, D.C. Girvin, Fred J. Brockman, Todd O. Stevens and J. K. Fredrickson and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Journal of Hazardous Materials.

In The Last Decade

Darla J. Workman

10 papers receiving 611 citations

Author Peers

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

Author						Papers	Cites
Darla J. Workman	215	206	160	122	121	12	655
Iris Bauer	200 0.9×	101 0.5×	242 1.5×	145 1.2×	121 1.0×	7	778
Dongyi Guo	102 0.5×	128 0.6×	109 0.7×	95 0.8×	82 0.7×	22	615
Maximilian Halama	138 0.6×	132 0.6×	111 0.7×	62 0.5×	140 1.2×	7	605
Elizabeth J. Tomaszewski	157 0.7×	127 0.6×	180 1.1×	55 0.5×	74 0.6×	18	560
Andrew S. Madison	194 0.9×	80 0.4×	115 0.7×	167 1.4×	88 0.7×	14	781
Regina Lohmayer	109 0.5×	105 0.5×	326 2.0×	70 0.6×	82 0.7×	20	612
Yutong Cheng	171 0.8×	232 1.1×	67 0.4×	247 2.0×	185 1.5×	9	635
Elizabeth A. Haack	337 1.6×	62 0.3×	174 1.1×	121 1.0×	135 1.1×	17	775
Christine Laskov	192 0.9×	116 0.6×	238 1.5×	65 0.5×	70 0.6×	13	720
Joern T. Larsen	105 0.5×	126 0.6×	76 0.5×	124 1.0×	72 0.6×	10	672

Countries citing papers authored by Darla J. Workman

Since Specialization

Citations

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

Fields of papers citing papers by Darla J. Workman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darla J. Workman. 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 Darla J. Workman. The network helps show where Darla J. Workman may publish in the future.

Co-authorship network of co-authors of Darla J. Workman

This figure shows the co-authorship network connecting the top 25 collaborators of Darla J. Workman. A scholar is included among the top collaborators of Darla J. Workman 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 Darla J. Workman. Darla J. Workman 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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