Madeline Burke

15 total papers · 451 total citations
8 papers, 366 citations indexed

About

Madeline Burke is a scholar working on Biomedical Engineering, Automotive Engineering and Surgery. According to data from OpenAlex, Madeline Burke has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 3 papers in Automotive Engineering and 1 paper in Surgery. Recurrent topics in Madeline Burke's work include 3D Printing in Biomedical Research (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Madeline Burke is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Madeline Burke collaborates with scholars based in United Kingdom and United States. Madeline Burke's co-authors include Adam W. Perriman, James P. K. Armstrong, Sean A. Davis, Ellina Mikhailova, James Nicholson, Francis G. Szele, Alexander Graham, Stuart J. Box, Hagan Bayley and Sam N. Olof and has published in prestigious journals such as Scientific Reports, Advanced Healthcare Materials and Macromolecular Bioscience.

In The Last Decade

Madeline Burke

7 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Madeline Burke	316	144	59	58	44	8	366
Ian S. Kinstlinger	312 1.0×	159 1.1×	50 0.8×	92 1.6×	70 1.6×	10	398
Rongrong Chai	280 0.9×	106 0.7×	58 1.0×	80 1.4×	40 0.9×	9	387
Selwa Boularaoui	305 1.0×	167 1.2×	44 0.7×	51 0.9×	60 1.4×	7	365
Navaneeth Krishna Rajeeva Pandian	258 0.8×	72 0.5×	81 1.4×	60 1.0×	51 1.2×	12	368
Burak Toprakhisar	245 0.8×	111 0.8×	82 1.4×	81 1.4×	104 2.4×	11	381
Bingchuan Lu	312 1.0×	104 0.7×	32 0.5×	82 1.4×	54 1.2×	15	400
Srikumar Krishnamoorthy	336 1.1×	183 1.3×	33 0.6×	80 1.4×	37 0.8×	13	401
Wisarut Kiratitanaporn	263 0.8×	141 1.0×	49 0.8×	41 0.7×	43 1.0×	10	341
Navid Hakimi	370 1.2×	139 1.0×	49 0.8×	78 1.3×	35 0.8×	9	446
Ruiying Huang	200 0.6×	93 0.6×	80 1.4×	116 2.0×	59 1.3×	13	344

Countries citing papers authored by Madeline Burke

Since Specialization

Citations

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

Fields of papers citing papers by Madeline Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeline Burke. 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 Madeline Burke. The network helps show where Madeline Burke may publish in the future.

Co-authorship network of co-authors of Madeline Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Madeline Burke. A scholar is included among the top collaborators of Madeline Burke 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 Madeline Burke. Madeline Burke 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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