David G. Howitt

26 total papers · 454 total citations
20 papers, 321 citations indexed

About

David G. Howitt is a scholar working on Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, David G. Howitt has authored 20 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Materials Chemistry and 4 papers in Electrical and Electronic Engineering. Recurrent topics in David G. Howitt's work include Nanopore and Nanochannel Transport Studies (4 papers), Nuclear materials and radiation effects (2 papers) and Forensic Fingerprint Detection Methods (2 papers). David G. Howitt is often cited by papers focused on Nanopore and Nanochannel Transport Studies (4 papers), Nuclear materials and radiation effects (2 papers) and Forensic Fingerprint Detection Methods (2 papers). David G. Howitt collaborates with scholars based in United States, Brazil and United Kingdom. David G. Howitt's co-authors include Scott D. Collins, R. L. Smith, Andrew D. Foote, Lisa Larsson, A. Rus Hoelzel, Patrick J. O. Miller, Ronald J. Baskin, Albert Hornblass, Jeffrey DeNatale and Douglas L. Medlin and has published in prestigious journals such as Langmuir, Journal of the American Ceramic Society and American Journal of Ophthalmology.

In The Last Decade

David G. Howitt

19 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
David G. Howitt 158 96 62 54 51 20 321
Md. Abdur Razzaque Sarker 16 0.1× 113 1.2× 163 2.6× 5 0.1× 35 0.7× 31 353
Jim B. Franklin 35 0.2× 131 1.4× 83 1.3× 55 1.1× 15 333
Rafael Quintero‐Torres 56 0.4× 92 1.0× 83 1.3× 9 0.2× 48 330
M. L. Anson 22 0.1× 12 0.1× 16 0.3× 46 0.9× 16 0.3× 14 238
Peter Docker 248 1.6× 110 1.1× 25 0.4× 20 0.4× 21 350
Andrii B. Golovin 111 0.7× 97 1.0× 34 0.5× 10 0.2× 37 343
Erik Anderson 38 0.2× 121 1.3× 126 2.0× 3 0.1× 31 0.6× 27 311
Raphaël Jeanneret 95 0.6× 18 0.2× 84 1.4× 9 0.2× 16 288
Angus McMullen 176 1.1× 47 0.5× 108 1.7× 17 0.3× 14 331
R.C. Ball 32 0.2× 32 0.3× 48 0.8× 17 0.3× 13 223

Countries citing papers authored by David G. Howitt

Since Specialization
Citations

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

Fields of papers citing papers by David G. Howitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Howitt

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