David Craft

6.2k total citations
68 papers, 2.7k citations indexed

About

David Craft is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Craft has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiation, 32 papers in Pulmonary and Respiratory Medicine and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Craft's work include Advanced Radiotherapy Techniques (46 papers), Radiation Therapy and Dosimetry (29 papers) and Medical Imaging Techniques and Applications (21 papers). David Craft is often cited by papers focused on Advanced Radiotherapy Techniques (46 papers), Radiation Therapy and Dosimetry (29 papers) and Medical Imaging Techniques and Applications (21 papers). David Craft collaborates with scholars based in United States, Germany and Netherlands. David Craft's co-authors include Thomas Bortfeld, Lawrence M. Wein, Edward H. Kaplan, Tarek Halabi, Helen A. Shih, Theodore S. Hong, Jan Unkelbach, Krishna Madduri, Andrzej Niemierko and Harald Paganetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Applied and Environmental Microbiology.

In The Last Decade

David Craft

67 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Craft United States 29 1.4k 1.1k 808 474 213 68 2.7k
Eva K. Lee United States 28 355 0.2× 344 0.3× 375 0.5× 1.1k 2.4× 777 3.6× 90 3.8k
Ulrich Abel Germany 33 52 0.0× 583 0.5× 132 0.2× 943 2.0× 143 0.7× 195 3.3k
Dilber Uzun Ozsahin Cyprus 23 121 0.1× 53 0.0× 398 0.5× 75 0.2× 56 0.3× 182 1.8k
H. Svensson Sweden 29 1.1k 0.8× 937 0.9× 732 0.9× 351 0.7× 23 0.1× 120 3.1k
Amit Joshi India 26 99 0.1× 620 0.6× 245 0.3× 1.3k 2.7× 192 0.9× 206 2.6k
Dionne M. Aleman Canada 21 269 0.2× 165 0.2× 150 0.2× 16 0.0× 15 0.1× 75 1.0k
Omid Nohadani United States 14 282 0.2× 235 0.2× 213 0.3× 11 0.0× 55 0.3× 39 953
Preetam Ghosh United States 30 20 0.0× 97 0.1× 126 0.2× 1.4k 2.9× 349 1.6× 215 3.3k
Sean X. Zhang United States 31 170 0.1× 327 0.3× 154 0.2× 281 0.6× 1.2k 5.4× 121 2.7k
Dong-Wan Kim South Korea 21 11 0.0× 236 0.2× 183 0.2× 884 1.9× 1.1k 5.3× 52 2.9k

Countries citing papers authored by David Craft

Since Specialization
Citations

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

Fields of papers citing papers by David Craft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Craft

This figure shows the co-authorship network connecting the top 25 collaborators of David Craft. A scholar is included among the top collaborators of David Craft 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 David Craft. David Craft 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.
Bortfeld, Thomas, Nadya Shusharina, & David Craft. (2020). Probabilistic definition of the clinical target volume—implications for tumor control probability modeling and optimization. Physics in Medicine and Biology. 66(1). 01NT01–01NT01. 8 indexed citations
2.
Deist, Timo M., et al.. (2019). Simulation-assisted machine learning. Bioinformatics. 35(20). 4072–4080. 42 indexed citations
3.
Balvert, Marleen & David Craft. (2017). Fast approximate delivery of fluence maps for IMRT and VMAT. Physics in Medicine and Biology. 62(4). 1225–1247. 9 indexed citations
4.
Craft, David, et al.. (2017). The value of prior knowledge in machine learning of complex network systems. Bioinformatics. 33(22). 3610–3618. 14 indexed citations
5.
Young, Michael, et al.. (2016). Volumetric‐modulated arc therapy using multicriteria optimization for body and extremity sarcoma. Journal of Applied Clinical Medical Physics. 17(6). 283–291. 5 indexed citations
6.
Craft, David, Fazal Hameed Khan, Michael Young, & Thomas Bortfeld. (2016). The Price of Target Dose Uniformity. International Journal of Radiation Oncology*Biology*Physics. 96(4). 913–914. 28 indexed citations
7.
Unkelbach, Jan, Thomas Bortfeld, David Craft, et al.. (2015). Optimization approaches to volumetric modulated arc therapy planning. Medical Physics. 42(3). 1367–1377. 50 indexed citations
8.
Khan, Fazal Hameed & David Craft. (2014). Three-dimensional conformal planning with low-segment multicriteria intensity modulated radiation therapy optimization. Practical Radiation Oncology. 5(2). e103–e111. 5 indexed citations
9.
Craft, David, Dávid Papp, & Jan Unkelbach. (2014). Plan averaging for multicriteria navigation of sliding window IMRT and VMAT. Medical Physics. 41(2). 21709–21709. 11 indexed citations
10.
Craft, David. (2013). Multi-criteria optimization methods in radiation therapy planning: a\n review of technologies and directions. arXiv (Cornell University). 10 indexed citations
11.
Wala, Jeremiah A., et al.. (2013). Maximizing dosimetric benefits of IMRT in the treatment of localized prostate cancer through multicriteria optimization planning. Medical dosimetry. 38(3). 298–303. 27 indexed citations
12.
Wala, Jeremiah A., et al.. (2012). Exploring trade-offs between VMAT dose quality and delivery efficiency using a network optimization approach. Physics in Medicine and Biology. 57(17). 5587–5600. 14 indexed citations
13.
Unkelbach, Jan, et al.. (2012). The dependence of optimal fractionation schemes on the spatial dose distribution. Physics in Medicine and Biology. 58(1). 159–167. 44 indexed citations
14.
Chen, Wei J., et al.. (2010). A fast optimization algorithm for multicriteria intensity modulated proton therapy planning. Medical Physics. 37(9). 4938–4945. 40 indexed citations
15.
Craft, David & Thomas Bortfeld. (2008). How many plans are needed in an IMRT multi-objective plan database?. Physics in Medicine and Biology. 53(11). 2785–2796. 75 indexed citations
16.
Craft, David, et al.. (2007). The Tradeoff Between Treatment Plan Quality and Required Number of Monitor Units in Intensity-modulated Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 67(5). 1596–1605. 75 indexed citations
17.
Craft, David, Tarek Halabi, Helen A. Shih, & Thomas Bortfeld. (2007). An Approach for Practical Multiobjective IMRT Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 69(5). 1600–1607. 93 indexed citations
18.
Halabi, Tarek, David Craft, & Thomas Bortfeld. (2006). Dose–volume objectives in multi-criteria optimization. Physics in Medicine and Biology. 51(15). 3809–3818. 43 indexed citations
19.
Craft, David, Tarek Halabi, Helen A. Shih, & Thomas Bortfeld. (2006). Approximating convex Pareto surfaces in multiobjective radiotherapy planning. Medical Physics. 33(9). 3399–3407. 180 indexed citations
20.
Craft, David, Tarek Halabi, & Thomas Bortfeld. (2005). Exploration of tradeoffs in intensity-modulated radiotherapy. Physics in Medicine and Biology. 50(24). 5857–5868. 95 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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