Austin J. Graham

26 total papers · 409 total citations
11 papers, 282 citations indexed

About

Austin J. Graham is a scholar working on Environmental Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Austin J. Graham has authored 11 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 5 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Austin J. Graham's work include Microbial Fuel Cells and Bioremediation (6 papers), 3D Printing in Biomedical Research (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Austin J. Graham is often cited by papers focused on Microbial Fuel Cells and Bioremediation (6 papers), 3D Printing in Biomedical Research (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Austin J. Graham collaborates with scholars based in United States. Austin J. Graham's co-authors include Benjamin K. Keitz, Christopher M. Dundas, Nathaniel A. Lynd, Gang Fan, Dwight K. Romanovicz, Adrianne M. Rosales, Gina Partipilo, Brian Belardi, Trevor R. Simmons and Patrick S. Daugherty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Chemistry.

In The Last Decade

Austin J. Graham

11 papers receiving 281 citations

Author Peers

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

Author						Papers	Cites
Austin J. Graham	94	86	71	70	64	11	282
Alice J. Gillen	55 0.6×	145 1.7×	103 1.5×	23 0.3×	155 2.4×	15	315
Elliot Campbell	29 0.3×	51 0.6×	102 1.4×	27 0.4×	41 0.6×	8	291
Li Wang	18 0.2×	115 1.3×	40 0.6×	18 0.3×	68 1.1×	20	331
Nimra Shakeel	23 0.2×	70 0.8×	158 2.2×	14 0.2×	117 1.8×	15	326
Nazua L. Costa	162 1.7×	77 0.9×	142 2.0×	4 0.1×	88 1.4×	13	327
Marccus V. A. Martins	28 0.3×	69 0.8×	230 3.2×	7 0.1×	60 0.9×	12	306
Qinfeng Liu	12 0.1×	58 0.7×	79 1.1×	47 0.7×	51 0.8×	18	327
Jayesh G. Bokria	36 0.4×	30 0.3×	154 2.2×	29 0.4×	62 1.0×	15	324
Krishnakumar Sivakumar	150 1.6×	53 0.6×	97 1.4×	10 0.1×	65 1.0×	10	307
Kang Le Osmund Chin	6 0.1×	49 0.6×	53 0.7×	51 0.7×	141 2.2×	12	297

Countries citing papers authored by Austin J. Graham

Since Specialization

Citations

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

Fields of papers citing papers by Austin J. Graham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin J. Graham

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