Nathan Scales

13 total papers · 433 total citations
10 papers, 147 citations indexed

About

Nathan Scales is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Scales has authored 10 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Scales's work include Nanopore and Nanochannel Transport Studies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Natural Language Processing Techniques (3 papers). Nathan Scales is often cited by papers focused on Nanopore and Nanochannel Transport Studies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Natural Language Processing Techniques (3 papers). Nathan Scales collaborates with scholars based in Canada, United States and United Kingdom. Nathan Scales's co-authors include R. Niall Tait, Monique Frize, Christophe L. Herry, Colleen M. Ennett, Nikola Momchev, Danila Sinopalnikov, Dmitry Tsarkov, Nathanael Schärli, Olivier Bousquet and Daniel Keysers and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Chromatography A and arXiv (Cornell University).

In The Last Decade

Nathan Scales

9 papers receiving 133 citations

Author Peers

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

Author						Papers	Cites
Nathan Scales	48	42	40	39	25	10	147
Samuel Davis	56 1.2×	64 1.5×	154 3.9×	22 0.6×	13 0.5×	12	261
Deepika Singh	103 2.1×	52 1.2×	23 0.6×	69 1.8×	32 1.3×	18	218
Tim Adler	96 2.0×	40 1.0×	99 2.5×	20 0.5×	5 0.2×	10	164
Nicholas A. Diakides	176 3.7×	99 2.4×	47 1.2×	7 0.2×	96 3.8×	6	240
Deniz Aykac	107 2.2×	3 0.1×	23 0.6×	18 0.5×	8 0.3×	16	242
Afshin Bozorgpour	67 1.4×	5 0.1×	41 1.0×	53 1.4×	3 0.1×	9	213
Grigorios‐Aris Cheimariotis	60 1.3×	6 0.1×	51 1.3×	17 0.4×	5 0.2×	18	232
Zhu Haisheng	68 1.4×	4 0.1×	34 0.8×	43 1.1×	4 0.2×	7	175
Thiranja P. Babarenda Gamage	50 1.0×	3 0.1×	62 1.6×	20 0.5×	3 0.1×	19	138
Shiri Gordon	37 0.8×	4 0.1×	22 0.6×	113 2.9×	3 0.1×	14	257

Countries citing papers authored by Nathan Scales

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Scales

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Scales

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