A. Kyle Jones

2.9k total citations · 2 hit papers
71 papers, 2.1k citations indexed

About

A. Kyle Jones is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, A. Kyle Jones has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Biomedical Engineering and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in A. Kyle Jones's work include Radiation Dose and Imaging (40 papers), Advanced X-ray and CT Imaging (35 papers) and Medical Imaging Techniques and Applications (17 papers). A. Kyle Jones is often cited by papers focused on Radiation Dose and Imaging (40 papers), Advanced X-ray and CT Imaging (35 papers) and Medical Imaging Techniques and Applications (17 papers). A. Kyle Jones collaborates with scholars based in United States, Italy and United Kingdom. A. Kyle Jones's co-authors include Laurence E. Court, Dennis Mackin, Jinzhong Yang, Xenia Fave, Lifei Zhang, David Fried, Cristina T. Dodge, Alexander S. Pasciak, Brian Taylor and D Followill and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal of Cancer.

In The Last Decade

A. Kyle Jones

63 papers receiving 2.1k citations

Hit Papers

Measuring Computed Tomography Scanner Variability of Radi... 2015 2026 2018 2022 2015 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Kyle Jones United States 20 1.9k 997 816 289 274 71 2.1k
Xenia Fave United States 13 1.8k 1.0× 835 0.8× 755 0.9× 354 1.2× 309 1.1× 25 1.9k
Margarita Kirienko Italy 28 1.8k 0.9× 376 0.4× 913 1.1× 489 1.7× 255 0.9× 69 2.3k
David Fried United States 18 1.6k 0.8× 642 0.6× 809 1.0× 452 1.6× 239 0.9× 60 2.0k
Dennis Mackin United States 26 2.4k 1.3× 1.1k 1.1× 1.4k 1.8× 443 1.5× 390 1.4× 58 3.0k
Ida Häggström United States 9 1.2k 0.6× 353 0.4× 320 0.4× 181 0.6× 145 0.5× 20 1.4k
Francesco Giganti United Kingdom 34 2.2k 1.2× 396 0.4× 3.1k 3.8× 335 1.2× 219 0.8× 105 4.1k
Yoshinori Funama Japan 32 3.1k 1.7× 2.4k 2.4× 542 0.7× 80 0.3× 76 0.3× 193 3.5k
Dag Wormanns Germany 26 1.6k 0.9× 255 0.3× 1.6k 2.0× 170 0.6× 113 0.4× 77 2.3k
Klaus Bacher Belgium 26 1.5k 0.8× 591 0.6× 665 0.8× 142 0.5× 43 0.2× 101 2.1k
Matthew J. Nyflot United States 23 926 0.5× 272 0.3× 519 0.6× 100 0.3× 95 0.3× 75 1.4k

Countries citing papers authored by A. Kyle Jones

Since Specialization
Citations

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

Fields of papers citing papers by A. Kyle Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Kyle Jones. 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 A. Kyle Jones. The network helps show where A. Kyle Jones may publish in the future.

Co-authorship network of co-authors of A. Kyle Jones

This figure shows the co-authorship network connecting the top 25 collaborators of A. Kyle Jones. A scholar is included among the top collaborators of A. Kyle Jones 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 A. Kyle Jones. A. Kyle Jones 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.
Jones, A. Kyle, Claudio E. Tatsui, Laurence D. Rhines, et al.. (2025). Statistical Surgical Process Modeling: Analysis of Workflow and Performance of Emerging Technologies in Image-Guided Spine Surgery. Annals of Biomedical Engineering. 53(12). 3435–3455.
2.
Paolucci, Iwan, et al.. (2024). Using Patient-Specific 3D Modeling and Simulations to Optimize Microwave Ablation Therapy for Liver Cancer. Cancers. 16(11). 2095–2095. 2 indexed citations
3.
Cazoulat, Guillaume, Sireesha Yedururi, B. Rigaud, et al.. (2024). Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images. Scientific Reports. 14(1). 4678–4678. 3 indexed citations
4.
Jones, A. Kyle, Moiz Ahmad, Shaan M. Raza, Stephen Chen, & Jeffrey H. Siewerdsen. (2023). Cone-beam CT with a noncircular (sine-on-sphere) orbit: imaging performance of a clinical system for image-guided interventions. 1 indexed citations
5.
Anderson, Brian, B. Rigaud, Yuan‐Mao Lin, et al.. (2022). Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images. Frontiers in Oncology. 12. 886517–886517. 14 indexed citations
6.
Layman, Rick R., et al.. (2019). Evaluation of an automated grid artifact detection system for quality control in digital mammography. Medical Physics. 46(8). 3442–3450.
7.
Ger, Rachel, Shouhao Zhou, Hannah Lee, et al.. (2018). Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Scientific Reports. 8(1). 13047–13047. 83 indexed citations
8.
Jones, A. Kyle, Robert G. Dixon, Jeremy D. Collins, Eric Walser, & Boris Nikolic. (2018). Best Practice Guidelines for CT-Guided Interventional Procedures. Journal of Vascular and Interventional Radiology. 29(4). 518–519. 16 indexed citations
9.
Steele, Joseph R., et al.. (2017). Use of an Online Education Platform to Enhance Patients’ Knowledge About Radiation in Diagnostic Imaging. Journal of the American College of Radiology. 14(3). 386–392. 14 indexed citations
10.
Fave, Xenia, Lifei Zhang, Jinzhong Yang, et al.. (2017). Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer. Scientific Reports. 7(1). 588–588. 272 indexed citations breakdown →
11.
Jones, A. Kyle, Philip H. Heintz, William R. Geiser, et al.. (2015). Ongoing quality control in digital radiography: Report of AAPM Imaging Physics Committee Task Group 151. Medical Physics. 42(11). 6658–6670. 57 indexed citations
12.
Jones, A. Kyle, et al.. (2015). Optimization of image quality and patient dose in radiographs of paediatric extremities using direct digital radiography. British Journal of Radiology. 88(1050). 20140660–20140660. 13 indexed citations
13.
Mackin, Dennis, Xenia Fave, Lifei Zhang, et al.. (2015). Measuring Computed Tomography Scanner Variability of Radiomics Features. Investigative Radiology. 50(11). 757–765. 507 indexed citations breakdown →
14.
Pasciak, Alexander S., A. Kyle Jones, & Louis K. Wagner. (2015). Application of the diagnostic radiological index of protection to protective garments. Medical Physics. 42(2). 653–662. 13 indexed citations
15.
Jones, A. Kyle, et al.. (2013). Medical imaging using ionizing radiation: Optimization of dose and image quality in fluoroscopy. Medical Physics. 41(1). 14301–14301. 22 indexed citations
16.
Jones, A. Kyle & Armeen Mahvash. (2012). Evaluation of the potential utility of flat panel CT for quantifying relative contrast enhancement. Medical Physics. 39(7Part1). 4149–4154. 4 indexed citations
17.
Jones, A. Kyle, et al.. (2009). One Year’s Results from a Server-Based System for Performing Reject Analysis and Exposure Analysis in Computed Radiography. Journal of Digital Imaging. 24(2). 243–255. 44 indexed citations
18.
Skopal, A., et al.. (2004). Photometry of symbiotic stars. XI. EG And, Z And, BF Cyg, CH Cyg, CI Cyg, V1329 Cyg, TX CVn, AG Dra, RW Hya, AR Pav, AG Peg, AX Per, QW Sge, IV Vir and the LMXB V934 Her. 34(1). 45–69. 2 indexed citations
19.
Skopal, A., et al.. (2002). Photometry of symbiotic stars. X. EG And, Z And, BF Cyg, CH Cyg, V1329 Cyg, AG Dra, RW Hya, AX Per and IV Vir. CERN Bulletin. 32(1). 62–78. 1 indexed citations
20.
Skopal, A., T. Pribulla, M. Wolf, S. Yu. Shugarov, & A. Kyle Jones. (2000). Photometry of symbiotic stars. IX. TX CVn, CH Cyg, AX Per and AR Pav. 30(1). 29–42. 1 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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