David J. Quiram

12 total papers · 464 total citations
8 papers, 338 citations indexed

About

David J. Quiram is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, David J. Quiram has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 1 paper in Organic Chemistry. Recurrent topics in David J. Quiram's work include Microfluidic and Capillary Electrophoresis Applications (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). David J. Quiram is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). David J. Quiram collaborates with scholars based in United States and Hong Kong. David J. Quiram's co-authors include Patrick L. Mills, J. Ryley, Klavs F. Jensen, Martin A. Schmidt, I‐Ming Hsing, Jennifer E. Ho, Norman Yeh, Aleksander J. Franz, Scott Reynolds and Suhas Shelukar and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and Powder Technology.

In The Last Decade

David J. Quiram

8 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
David J. Quiram	189	96	77	68	61	8	338
M. Daroux	116 0.6×	128 1.3×	92 1.2×	29 0.4×	71 1.2×	7	380
J. O. Smith	141 0.7×	99 1.0×	101 1.3×	30 0.4×	82 1.3×	12	396
Chunbo Ye	274 1.4×	57 0.6×	71 0.9×	45 0.7×	171 2.8×	9	395
H. Wright	166 0.9×	93 1.0×	54 0.7×	24 0.4×	53 0.9×	10	313
Shaibal Roy	201 1.1×	108 1.1×	96 1.2×	24 0.4×	143 2.3×	7	329
C. D. Prater	72 0.4×	151 1.6×	59 0.8×	29 0.4×	96 1.6×	13	310
Michael Patrascu	143 0.8×	136 1.4×	26 0.3×	58 0.9×	93 1.5×	16	350
Sarat Munjal	156 0.8×	48 0.5×	112 1.5×	29 0.4×	192 3.1×	18	392
Yuanxin Wu	196 1.0×	73 0.8×	118 1.5×	9 0.1×	132 2.2×	12	353
M. R. Cannon	73 0.4×	67 0.7×	30 0.4×	28 0.4×	39 0.6×	10	318

Countries citing papers authored by David J. Quiram

Since Specialization

Citations

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

Fields of papers citing papers by David J. Quiram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Quiram

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