Katelyn L. Sellgren

31 total papers · 716 total citations
21 papers, 544 citations indexed

About

Katelyn L. Sellgren is a scholar working on Industrial and Manufacturing Engineering, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Katelyn L. Sellgren has authored 21 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 7 papers in Biomedical Engineering and 5 papers in Water Science and Technology. Recurrent topics in Katelyn L. Sellgren's work include Wastewater Treatment and Reuse (6 papers), 3D Printing in Biomedical Research (3 papers) and Child Nutrition and Water Access (3 papers). Katelyn L. Sellgren is often cited by papers focused on Wastewater Treatment and Reuse (6 papers), 3D Printing in Biomedical Research (3 papers) and Child Nutrition and Water Access (3 papers). Katelyn L. Sellgren collaborates with scholars based in United States, India and South Africa. Katelyn L. Sellgren's co-authors include Sonia Grego, Brian T. Hawkins, Brian R. Stoner, Scott H. Randell, Brian P. Gilmour, Teng Ma, Kristin H. Gilchrist, Elaine A. Gay, Gregory F. Lewis and Jeffrey R. Piascik and has published in prestigious journals such as The Science of The Total Environment, Water Research and Scientific Reports.

In The Last Decade

Katelyn L. Sellgren

21 papers receiving 538 citations

Author Peers

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

Author						Papers	Cites
Katelyn L. Sellgren	250	89	86	79	74	21	544
Xiaoyao Liu	117 0.5×	77 0.9×	24 0.3×	62 0.8×	27 0.4×	39	533
Huidong Li	54 0.2×	47 0.5×	28 0.3×	58 0.7×	19 0.3×	28	459
David Hodges	187 0.7×	41 0.5×	12 0.1×	57 0.7×	22 0.3×	15	500
M. Shanika Fernando	61 0.2×	26 0.3×	50 0.6×	170 2.2×	15 0.2×	16	573
Yumei Li	81 0.3×	124 1.4×	31 0.4×	128 1.6×	8 0.1×	34	530
Cencan Xing	90 0.4×	201 2.3×	46 0.5×	175 2.2×	10 0.1×	32	546
Xiaofei Tian	89 0.4×	105 1.2×	13 0.2×	47 0.6×	17 0.2×	29	542
Robert Liu	39 0.2×	112 1.3×	46 0.5×	81 1.0×	31 0.4×	24	524
Tianyu Yu	91 0.4×	126 1.4×	10 0.1×	28 0.4×	19 0.3×	20	565
Yun-Hong Wang	55 0.2×	183 2.1×	20 0.2×	79 1.0×	29 0.4×	12	456

Countries citing papers authored by Katelyn L. Sellgren

Since Specialization

Citations

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

Fields of papers citing papers by Katelyn L. Sellgren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katelyn L. Sellgren. 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 Katelyn L. Sellgren. The network helps show where Katelyn L. Sellgren may publish in the future.

Co-authorship network of co-authors of Katelyn L. Sellgren

This figure shows the co-authorship network connecting the top 25 collaborators of Katelyn L. Sellgren. A scholar is included among the top collaborators of Katelyn L. Sellgren 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 Katelyn L. Sellgren. Katelyn L. Sellgren 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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