James Miller

46 total papers · 857 total citations
24 papers, 501 citations indexed

About

James Miller is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, James Miller has authored 24 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Infectious Diseases. Recurrent topics in James Miller's work include Machine Learning in Healthcare (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Inhalation and Respiratory Drug Delivery (3 papers). James Miller is often cited by papers focused on Machine Learning in Healthcare (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Inhalation and Respiratory Drug Delivery (3 papers). James Miller collaborates with scholars based in United States, United Kingdom and Italy. James Miller's co-authors include Arman Kilic, Artur Dubrawski, Thomas G. Gleason, Daniel S. Miller, Ting Gong, Bei Yin, Thomas K. Wood, Thammajun L. Wood, Lei Zhu and Serguei G. Popov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

James Miller

23 papers receiving 491 citations

Author Peers

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

Author						Papers	Cites
James Miller	144	77	69	57	56	24	501
Abhishek Singh Rathore	155 1.1×	99 1.3×	19 0.3×	29 0.5×	88 1.6×	29	520
Yuanxi Xu	158 1.1×	30 0.4×	146 2.1×	58 1.0×	14 0.3×	24	459
Rizwan Ullah	81 0.6×	33 0.4×	15 0.2×	46 0.8×	49 0.9×	35	570
Dan Li	99 0.7×	33 0.4×	15 0.2×	237 4.2×	10 0.2×	46	548
Xun Huang	114 0.8×	62 0.8×	58 0.8×	132 2.3×	25 0.4×	38	602
Yu-Chun Chien	47 0.3×	56 0.7×	16 0.2×	100 1.8×	4 0.1×	30	460
Bikash Ranjan Sahu	90 0.6×	34 0.4×	29 0.4×	149 2.6×	35 0.6×	31	506
Olivier Dubuis	114 0.8×	33 0.4×	11 0.2×	205 3.6×	98 1.8×	14	484
Danlei Liu	162 1.1×	89 1.2×	24 0.3×	239 4.2×	8 0.1×	40	549
Arghya Das	109 0.8×	15 0.2×	9 0.1×	149 2.6×	89 1.6×	35	471

Countries citing papers authored by James Miller

Since Specialization

Citations

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

Fields of papers citing papers by James Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Miller

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