D.J. Hawkes

2.5k total citations · 1 hit paper
42 papers, 1.7k citations indexed

About

D.J. Hawkes is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, D.J. Hawkes has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in D.J. Hawkes's work include Medical Imaging Techniques and Applications (14 papers), Medical Image Segmentation Techniques (9 papers) and Advanced X-ray and CT Imaging (9 papers). D.J. Hawkes is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Medical Image Segmentation Techniques (9 papers) and Advanced X-ray and CT Imaging (9 papers). D.J. Hawkes collaborates with scholars based in United Kingdom, Germany and Türkiye. D.J. Hawkes's co-authors include Daphne F. Jackson, Jamie R. McClelland, Andrew P. King, Tobias Schaeffter, J. C. Buckland‐Wright, J.A. Lynch, Graeme Penney, Mohamad Hamady, J Blackall and Andreas Adam and has published in prestigious journals such as Physics Reports, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

D.J. Hawkes

41 papers receiving 1.6k citations

Hit Papers

X-ray attenuation coeffic... 1981 2026 1996 2011 1981 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
D.J. Hawkes United Kingdom 15 776 703 410 407 279 42 1.7k
George Panayiotakis Greece 29 1.8k 2.3× 1.2k 1.6× 1.0k 2.5× 411 1.0× 314 1.1× 220 3.3k
J. Yorkston United States 25 1.4k 1.8× 1.4k 2.0× 806 2.0× 130 0.3× 74 0.3× 95 2.5k
Daniela Pfeiffer Germany 25 1.3k 1.7× 984 1.4× 326 0.8× 43 0.1× 92 0.3× 118 2.0k
Rémi Souchon France 24 1.4k 1.8× 1.3k 1.8× 59 0.1× 123 0.3× 45 0.2× 54 2.1k
D. Cathignol France 29 1.2k 1.5× 1.8k 2.6× 82 0.2× 480 1.2× 18 0.1× 122 2.5k
J. Anthony Seibert United States 29 1.7k 2.2× 1.2k 1.7× 306 0.7× 49 0.1× 100 0.4× 70 2.3k
Hiroshi Tsutsui Japan 21 468 0.6× 158 0.2× 251 0.6× 74 0.2× 129 0.5× 143 1.5k
W.N. McDicken United Kingdom 29 1.8k 2.3× 1.2k 1.6× 33 0.1× 303 0.7× 511 1.8× 142 3.5k
Jeffrey A. Ketterling United States 20 872 1.1× 949 1.3× 53 0.1× 266 0.7× 68 0.2× 124 1.5k
Gary R. Frank United States 27 1.8k 2.3× 2.1k 3.0× 101 0.2× 59 0.1× 38 0.1× 54 2.7k

Countries citing papers authored by D.J. Hawkes

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Hawkes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.J. Hawkes

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Hawkes. A scholar is included among the top collaborators of D.J. Hawkes 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 D.J. Hawkes. D.J. Hawkes 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.
Bertholet, Jenny, Björn Eiben, Martin J. Menten, et al.. (2019). In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model. UCL Discovery (University College London). 1 indexed citations
2.
Bonet-Carné, Elisenda, Hayley Pye, Aiman Haider, et al.. (2018). Histological Validation of in-vivo VERDICT MRI for Prostate using 3D Personalised Moulds. UCL Discovery (University College London). 2 indexed citations
3.
Veiga, Catarina, David Landau, Anand Devaraj, et al.. (2017). EP-1712: Quantification of radiotherapy-induced mediastinum changes using serial CT imaging. Radiotherapy and Oncology. 123. S938–S939. 1 indexed citations
4.
Yang, Guang, et al.. (2012). A nonlinear least squares method for solving the joint reconstruction and registration problem in digital breast tomosynthesis. Asian Journal of Surgery. 47(10). 4627–4628. 2 indexed citations
5.
Allan, Max, Sébastien Ourselin, Stephen Thompson, et al.. (2012). Toward Detection and Localization of Instruments in Minimally Invasive Surgery. IEEE Transactions on Biomedical Engineering. 60(4). 1050–1058. 101 indexed citations
6.
Yang, Guang, et al.. (2011). Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study. UCL Discovery (University College London). 1 indexed citations
7.
Penney, Graeme, et al.. (2006). Cadaver validation of intensity-based ultrasound to CT registration. Medical Image Analysis. 10(3). 385–395. 52 indexed citations
8.
Manzke, Robert, et al.. (2003). Adaptive temporal resolution optimization in helical cardiac cone beam CT reconstruction. Medical Physics. 30(12). 3072–3080. 81 indexed citations
9.
Penney, Graeme, et al.. (2003). Registration of freehand 3D ultrasound and magnetic resonance liver images. Medical Image Analysis. 8(1). 81–91. 166 indexed citations
10.
Penney, Graeme, et al.. (2002). 2D-3D Intensity Based Registration of DSA and MRA. A Comparison of Similarity Measures.. Lecture notes in computer science. 2489. 501–508. 2 indexed citations
11.
Degenhard, Andreas, Christine Tanner, Carmel Hayes, D.J. Hawkes, & Martin O. Leach. (2001). Pre-processed image reconstruction applied to breast and brain MR imaging. Physiological Measurement. 22(3). 589–604. 2 indexed citations
12.
Thomas, D.G.T., Parth Doshi, A. C. F. Colchester, et al.. (1996). Craniotomy Guidance Using a Stereo-Video-Based Tracking System. Stereotactic and Functional Neurosurgery. 66(1-3). 81–83. 3 indexed citations
13.
Seifalian, Alexander M., Gerard Stansby, K E F Hobbs, D.J. Hawkes, & A. C. F. Colchester. (1991). Measurement of Liver Blood Flow: A Review. HPB Surgery. 4(3). 171–186. 26 indexed citations
14.
Lynch, J.A., D.J. Hawkes, & J. C. Buckland‐Wright. (1991). A robust and accurate method for calculating the fractal signature of texture in macroradiographs of osteoarthritic knees. Medical Informatics. 16(2). 241–251. 53 indexed citations
15.
Lynch, J.A., D.J. Hawkes, & J. C. Buckland‐Wright. (1991). Analysis of texture in macroradiographs of osteoarthritic knees, using the fractal signature. Physics in Medicine and Biology. 36(6). 709–722. 129 indexed citations
16.
Brunt, J N H, et al.. (1986). Volume flow measurement of pulsatile flow by digitised cine angiography.. PubMed. 369. 59–62. 6 indexed citations
17.
Hawkes, D.J., Daphne F. Jackson, & R. P. Parker. (1986). Tissue analysis by dual-energy computed tomography. British Journal of Radiology. 59(702). 537–542. 32 indexed citations
18.
Jackson, Daphne F. & D.J. Hawkes. (1983). Energy dependence in the spectral factor approach to computed tomography. Physics in Medicine and Biology. 28(3). 289–293. 12 indexed citations
19.
Jackson, Daphne F. & D.J. Hawkes. (1981). X-ray attenuation coefficients of elements and mixtures. Physics Reports. 70(3). 169–233. 521 indexed citations breakdown →
20.
Hawkes, D.J., et al.. (1979). A simple method for correcting left ventricular equilibrium radionuclide angiography for the effects of arrhythmias. Physics in Medicine and Biology. 24(6). 1162–1167. 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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