Nick James

528 total citations
13 papers, 358 citations indexed

About

Nick James is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, Nick James has authored 13 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Aerospace Engineering. Recurrent topics in Nick James's work include Radiomics and Machine Learning in Medical Imaging (3 papers), ECG Monitoring and Analysis (3 papers) and GNSS positioning and interference (3 papers). Nick James is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), ECG Monitoring and Analysis (3 papers) and GNSS positioning and interference (3 papers). Nick James collaborates with scholars based in Canada, United Kingdom and New Zealand. Nick James's co-authors include Christopher W. Good, H. Lester Kirchner, Brandon K. Fornwalt, Jonathan D Suever, John G.F. Cleland, Patrick Gladding, Joseph B. Leader, Christopher M. Haggerty, Linyuan Jing and Dustin N. Hartzel and has published in prestigious journals such as Proceedings of the IEEE, European Heart Journal and European Radiology.

In The Last Decade

Nick James

10 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nick James Canada 8 163 100 80 57 52 13 358
Kohei Fujimoto Japan 12 217 1.3× 131 1.3× 50 0.6× 87 1.5× 39 0.8× 56 435
Christian Rost Germany 10 220 1.3× 97 1.0× 15 0.2× 63 1.1× 37 0.7× 26 389
Andrea Sacchi Italy 10 33 0.2× 41 0.4× 113 1.4× 4 0.1× 53 1.0× 28 327
William S. Wilson United States 13 209 1.3× 21 0.2× 51 0.6× 73 1.3× 44 0.8× 38 441
S. K. Chan United States 4 151 0.9× 122 1.2× 306 3.8× 3 0.1× 113 2.2× 7 591
Edmund A. Murphy United States 8 128 0.8× 9 0.1× 26 0.3× 9 0.2× 35 0.7× 17 342
Alireza Vafaei Sadr Switzerland 12 12 0.1× 161 1.6× 42 0.5× 17 0.3× 59 1.1× 43 421
D. A. Batchelor United States 9 60 0.4× 28 0.3× 78 1.0× 6 0.1× 15 0.3× 21 243
Robert Garret Johnson United States 11 299 1.8× 37 0.4× 29 0.4× 20 0.4× 24 0.5× 27 488
M. Zacharias United States 11 127 0.8× 12 0.1× 114 1.4× 9 0.2× 33 0.6× 55 380

Countries citing papers authored by Nick James

Since Specialization
Citations

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

Fields of papers citing papers by Nick James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick James

This figure shows the co-authorship network connecting the top 25 collaborators of Nick James. A scholar is included among the top collaborators of Nick James 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 Nick James. Nick James is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
James, Nick, et al.. (2025). Electrocardiographic and Biochemical Feature Integration for Automated Cardiovascular Risk Stratification. International Journal of Research and Innovation in Applied Science. X(VI). 573–586.
3.
Hodgdon, Taryn, Rebecca E. Thornhill, Nick James, et al.. (2020). CT texture analysis of acetabular subchondral bone can discriminate between normal and cam-positive hips. European Radiology. 30(8). 4695–4704. 10 indexed citations
4.
Schieda, Nicola, Kathleen Nguyen, Rebecca E. Thornhill, et al.. (2020). Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT. Abdominal Radiology. 45(9). 2786–2796. 13 indexed citations
5.
Nguyen, Kathleen, Nicola Schieda, Nick James, et al.. (2020). Effect of phase of enhancement on texture analysis in renal masses evaluated with non-contrast-enhanced, corticomedullary, and nephrographic phase–enhanced CT images. European Radiology. 31(3). 1676–1686. 17 indexed citations
6.
Gladding, Patrick, et al.. (2020). A057 Multiscale Predictive Modelling in Heart Failure: Machine Learning Applied to Big Data, Imaging and Multiomics. Heart Lung and Circulation. 29. S24–S25. 1 indexed citations
7.
Wehner, Gregory J, Linyuan Jing, Christopher M. Haggerty, et al.. (2019). Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?. European Heart Journal. 41(12). 1249–1257. 179 indexed citations
8.
Gladding, Patrick, et al.. (2017). Predicting CRT Response Using Machine Learning Analysis of Pre-Implant ECG Data. Heart Lung and Circulation. 26. S25–S26. 1 indexed citations
9.
James, Nick, et al.. (2017). Predicting CRT Response Using Machine Learning Analysis of Pre-Implant ECG Data. Heart Lung and Circulation. 26. S188–S188. 1 indexed citations
10.
Iess, L., et al.. (2013). Astra: Interdisciplinary study on enhancement of the end-to-end accuracy for spacecraft tracking techniques. Acta Astronautica. 94(2). 699–707. 72 indexed citations
11.
Iess, L., Frank Budnik, Mauro Di Benedetto, et al.. (2013). Improving Tracking Systems For Deep Space Navigation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–9. 2 indexed citations
12.
James, Nick, et al.. (2009). Implementation of an ESA delta-DOR capability. Acta Astronautica. 64(11-12). 1041–1049. 19 indexed citations
13.
James, Nick, et al.. (2007). GMSK Demodulator Implementation for ESA Deep-Space Missions. Proceedings of the IEEE. 95(11). 2132–2141. 17 indexed citations

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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