Christopher J. Moore

1.2k total citations
59 papers, 871 citations indexed

About

Christopher J. Moore is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Christopher J. Moore has authored 59 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 18 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Christopher J. Moore's work include Ultrasound Imaging and Elastography (12 papers), Speech Recognition and Synthesis (9 papers) and Speech and Audio Processing (7 papers). Christopher J. Moore is often cited by papers focused on Ultrasound Imaging and Elastography (12 papers), Speech Recognition and Synthesis (9 papers) and Speech and Audio Processing (7 papers). Christopher J. Moore collaborates with scholars based in United States, United Kingdom and Taiwan. Christopher J. Moore's co-authors include David R. Burton, Francis Lilley, Hussein S. Abdul-Rahman, Munther Gdeisat, Michael J. Lalor, James K. Beattie, Caterina M. Gallippi, R. T. Ritchings, Md Murad Hossain and James E. Cutting and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Inorganic Chemistry.

In The Last Decade

Christopher J. Moore

54 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Moore United States 13 331 171 115 100 98 59 871
Marc E. Miquel United Kingdom 22 861 2.6× 146 0.9× 86 0.7× 104 1.0× 28 0.3× 69 1.7k
Dagmar Krefting Germany 14 278 0.8× 374 2.2× 58 0.5× 52 0.5× 40 0.4× 105 1.0k
Maria Filomena Santarelli Italy 24 973 2.9× 274 1.6× 44 0.4× 170 1.7× 105 1.1× 148 2.3k
Christian Heinrich France 14 169 0.5× 130 0.8× 128 1.1× 39 0.4× 164 1.7× 62 1.0k
Yoon‐Chul Kim South Korea 20 387 1.2× 164 1.0× 212 1.8× 190 1.9× 122 1.2× 71 1.3k
Sajan Goud Lingala United States 18 1.0k 3.1× 231 1.4× 77 0.7× 74 0.7× 164 1.7× 49 1.3k
Yanqiu Feng China 21 678 2.0× 348 2.0× 122 1.1× 27 0.3× 303 3.1× 104 1.5k
Chih‐Hsien Huang Taiwan 14 399 1.2× 945 5.5× 80 0.7× 23 0.2× 19 0.2× 106 1.3k
Joyita Dutta United States 20 865 2.6× 426 2.5× 96 0.8× 46 0.5× 240 2.4× 58 1.3k
Hojin Kim South Korea 16 293 0.9× 182 1.1× 38 0.3× 16 0.2× 38 0.4× 89 949

Countries citing papers authored by Christopher J. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Moore. 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 Christopher J. Moore. The network helps show where Christopher J. Moore may publish in the future.

Co-authorship network of co-authors of Christopher J. Moore

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

All Works

20 of 20 papers shown
1.
Moore, Christopher J., et al.. (2024). Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(7). 910–923. 1 indexed citations
2.
Moore, Christopher J., Adriana Gregory, Carolyn M Roos, et al.. (2021). Use of 3D Robotic Ultrasound for <em>In Vivo</em> Analysis of Mouse Kidneys. Journal of Visualized Experiments.
3.
Moore, Christopher J., Melissa C. Caughey, Catherine Jacobs, et al.. (2018). In Vivo Viscoelastic Response (VisR) Ultrasound for Characterizing Mechanical Anisotropy in Lower-Limb Skeletal Muscles of Boys with and without Duchenne Muscular Dystrophy. Ultrasound in Medicine & Biology. 44(12). 2519–2530. 24 indexed citations
4.
Parkhurst, James M., et al.. (2011). Next generation optical surface sensing for real-time measurement in radiotherapy. PubMed. 2. 6170–6173. 1 indexed citations
5.
Moore, Christopher J., Gillian Whitfield, Gareth Price, & James M. Parkhurst. (2010). Patient pose changes during radiotherapy measured using 3D colour Fourier profilometry.. International Journal of Computer Assisted Radiology and Surgery. 1 indexed citations
6.
Abdul-Rahman, Hussein S., Munther Gdeisat, David R. Burton, et al.. (2007). Fast and robust three-dimensional best path phase unwrapping algorithm. Applied Optics. 46(26). 6623–6623. 234 indexed citations
7.
Matuszewski, Bogdan J., et al.. (2007). Deformable Registration using Spring Mass System with Cross-section Correction. 2208. 9–14. 4 indexed citations
8.
Moore, Christopher J., et al.. (2006). Orientation Dependence of Strained-Ge Surface Energies near (001): Role of Dimer-Vacancy Lines and Their Interactions with Steps. Physical Review Letters. 96(12). 126101–126101. 9 indexed citations
9.
Moore, Christopher J., et al.. (2005). Voicing recovery in males following radiotherapy for larynx cancer.. 7–10.
10.
Ritchings, R. T., et al.. (2003). Objective assessment of pathological voice quality. 6. 340–345. 7 indexed citations
11.
Moore, Christopher J., et al.. (2002). High Stakes Testing and Science Learning Assessment. Science educator. 11(1). 18–23. 7 indexed citations
12.
Moore, Christopher J., et al.. (2001). Pathological voice quality assesment using artificial neural networks.. 230–234. 1 indexed citations
13.
Moore, Christopher J., et al.. (2000). Educational Reform through High Stakes Testing--Don't Go There.. Science educator. 9(1). 7–13. 8 indexed citations
14.
Moore, Christopher J., et al.. (1999). Characterising vowel phonation by fundamental spectral normalisation of LX-waveforms.. 1–6. 6 indexed citations
15.
Ritchings, R. T., et al.. (1999). Automatic assessment of voice quality using fundamental harmonic normalised spectra and Gaussian mixtures.. 128–131. 1 indexed citations
16.
Krell, Gerald, et al.. (1998). Enhancement and associative restoration of electronic portal images in radiotherapy. International Journal of Medical Informatics. 49(2). 157–171. 10 indexed citations
17.
Cutting, James E., Nicola Bruno, Nuala Brady, & Christopher J. Moore. (1992). Selectivity, scope, and simplicity of models: A lesson from fitting judgments of perceived depth.. Journal of Experimental Psychology General. 121(3). 364–381. 67 indexed citations
18.
Beattie, James K. & Christopher J. Moore. (1982). Rinneite,ヘキサクロロ鉄(II)酸ナトリウム三カリウム,およびヘキサクロロ鉄(III)酸ヘキサアンミンコバルト(III)の分子構造と結晶構造 ヘキサクロロ鉄(II)酸基および鉄(III)酸基における鉄-塩化物イオン間距離の比較. Inorganic Chemistry. 21(4). 1292–1295. 31 indexed citations
19.
20.
Atkins, Harry, et al.. (1968). Subject classification bibliography for thermal contact resistance studies.. NASA Technical Reports Server (NASA). 12 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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