James Miller

862 total citations
23 papers, 500 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 23 papers receiving a total of 500 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 Cardiac Valve Diseases and Treatments (3 papers), Machine Learning in Healthcare (3 papers) and Inhalation and Respiratory Drug Delivery (3 papers). James Miller is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Machine Learning in Healthcare (3 papers) and Inhalation and Respiratory Drug Delivery (3 papers). James Miller collaborates with scholars based in United States, United Kingdom and India. James Miller's co-authors include Arman Kilic, Artur Dubrawski, Thomas G. Gleason, Thomas K. Wood, Thammajun L. Wood, Bei Yin, Ting Gong, Lei Zhu, Daniel S. Miller and Vladimir I. Klichko and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

James Miller

22 papers receiving 492 citations

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	Cauda equina syndrome 2023 ·British Journal of Hospital Medicine ·James Miller, (unknown), (unknown), Rory G Middleton	0
2	Forecasting emergence of COVID-19 variants of concern 2022 ·PLoS ONE ·James Miller, (unknown), Artur Dubrawski	12
3	Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary 2022 ·SHILAP Revista de lepidopterología ·Alexander Sundermann, (unknown), James Miller, (unknown), Graham M. Snyder, Daria Van Tyne, Jane W. Marsh, Artur Dubrawski, Lee H. Harrison	19
4	Using machine learning to improve risk prediction in durable left ventricular assist devices 2021 ·PLoS ONE ·Arman Kilic, (unknown), Rema Padman, James Miller, Artur Dubrawski	12
5	Supplementing Existing Societal Risk Models for Surgical Aortic Valve Replacement With Machine Learning for Improved Prediction 2021 ·Journal of the American Heart Association ·Arman Kilic, Robert Habib, James Miller, David M. Shahian, Joseph A. Dearani, Artur Dubrawski	4
6	Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement 2020 ·The Annals of Thoracic Surgery ·Arman Kilic, (unknown), James Miller, Thomas G. Gleason, (unknown)	27
7	Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance 2020 ·Clinical Infectious Diseases ·Alexander Sundermann, (unknown), James Miller, Melissa Saul, Kathleen A. Shutt, M. Patrick Griffith, Mustapha M. Mustapha, Chinelo Ezeonwuka, (unknown), Vatsala Rangachar Srinivasa, Praveen Kumar, A. William Pasculle, Ashley Ayres, Graham M. Snyder, Vaughn S. Cooper, Daria Van Tyne, Jane W. Marsh, Artur Dubrawski, Lee H. Harrison	29
8	Analysis of Source Detectability With Fast-Moving Sensors 2020 ·IEEE Transactions on Nuclear Science ·James Miller, (unknown), Artur Dubrawski	1
9	Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery 2019 ·The Annals of Thoracic Surgery ·Arman Kilic, (unknown), James Miller, (unknown), (unknown), Thomas G. Gleason, Ibrahim Sultan, (unknown)	62
10	Automated data mining of the electronic health record for investigation of healthcare-associated outbreaks 2019 ·Infection Control and Hospital Epidemiology ·Alexander Sundermann, James Miller, Jane W. Marsh, Melissa Saul, Kathleen A. Shutt, Marissa P Pacey, Mustapha M. Mustapha, Ashley Ayres, A. William Pasculle, (unknown), Graham M. Snyder, Artur Dubrawski, Lee H. Harrison	34
11	Statistical outbreak detection by joining medical records and pathogen similarity 2019 ·Journal of Biomedical Informatics ·James Miller, (unknown), Alexander Sundermann, Jane W. Marsh, Melissa Saul, Kathleen A. Shutt, Marissa P Pacey, Mustapha M. Mustapha, Lee H. Harrison, Artur Dubrawski	11
12	Rhamnolipids from Pseudomonas aeruginosa disperse the biofilms of sulfate-reducing bacteria 2018 ·npj Biofilms and Microbiomes ·Thammajun L. Wood, Ting Gong, Lei Zhu, James Miller, Daniel S. Miller, Bei Yin, Thomas K. Wood	77
13	Mathematical modelling of Pseudomonas aeruginosa biofilm growth and treatment in the cystic fibrosis lung 2013 ·Mathematical Medicine and Biology A Journal of the IMA ·James Miller, (unknown), (unknown), K. L. Kreider, Amy Milsted, (unknown), Yang Yun, Wiley J. Youngs, G. W. Young, (unknown), (unknown), (unknown), Patrick O. Wagers	10
14	Modeling the response of a biofilm to silver-based antimicrobial 2013 ·Mathematical Biosciences ·(unknown), (unknown), James Miller, C. B. Clemons, J. Patrick Wilber, G. W. Young, Yang Yun, Carolyn L. Cannon, Jeff G. Leid, Wiley J. Youngs, Amy Milsted	10
15	Nanoparticle Deposition onto Biofilms 2012 ·Annals of Biomedical Engineering ·James Miller, (unknown), C. B. Clemons, K. L. Kreider, J. Patrick Wilber, G. W. Young, Andrew J. Ditto, Yang Yun, Amy Milsted, (unknown), Matthew J. Panzner, Wiley J. Youngs, Carolyn L. Cannon	22
16	Resorbable, amino acid-based poly(ester urea)s crosslinked with osteogenic growth peptide with enhanced mechanical properties and bioactivity 2012 ·Acta Biomaterialia ·(unknown), Fei Lin, Laura A. Smith Callahan, (unknown), (unknown), James Miller, (unknown), Matthew L. Becker	63
17	Development of the Pseudomonas aeruginosa mushroom morphology and cavity formation by iron-starvation: A mathematical modeling study 2012 ·Journal of Theoretical Biology ·James Miller, (unknown), (unknown), K. L. Kreider, (unknown), Amy Milsted, G. W. Young	11
18	Delusional infestation with unusual pathogens: a report of three cases 2011 ·Clinical and Experimental Dermatology ·(unknown), James Miller, (unknown), (unknown), Anthony Bewley	15
19	Anaerobic induction of Bacillus anthracis hemolytic activity 2003 ·Biochemical and Biophysical Research Communications ·Vladimir I. Klichko, James Miller, Aiguo Wu, Serguei G. Popov, Ken Alibek	43
20	Validated retrieval in case-based reasoning 1990 ·National Conference on Artificial Intelligence ·Evangelos Simoudis, James Miller	16

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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