Danny R. Spelbring

12 papers receiving 1.0k citations

Hit Papers

Accurate Three-Dimensional Registration of CT, PET, and/o...19892026200120131989250500750

Peers

Danny R. Spelbring
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 550
  • Computer Vision and Pattern Recognition 371
  • Radiation 282
  • Pulmonary and Respiratory Medicine 254
  • Biomedical Engineering 153
Replace Jennifer L. Boes with:
Jennifer L. Boes United States
David T. Gering United States
A. Nabavi Germany
Marco Nolden Germany
Boklye Kim United States
Olivier Commowick France
Terence M. Peters Canada
Lasse Riis Østergaard Denmark
Donald J. Peck United States
J. Zaers Germany
Danny R. Spelbring relative to Jennifer L. Boes United States Jennifer L. Boes's profile →
Citations per field
00.5×4.0×
Jennifer L. Boes · 1×
Citations per year

Countries citing papers authored by Danny R. Spelbring

Since Specialization
Citations

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

Fields of papers citing papers by Danny R. Spelbring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny R. Spelbring. 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 Danny R. Spelbring. The network helps show where Danny R. Spelbring may publish in the future.

Co-authorship network of co-authors of Danny R. Spelbring

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2
Impact of radioimmunoscintigraphy on definition of clinical target volume for radiotherapy after prostatectomy.
21
3 16
4 71
5 55
6 41
7 5
8 31
9 22
10 10
11
Accurate Three-Dimensional Registration of CT, PET, and/or MR Images of the Brainbreakdown →
807
12 17

About Danny R. Spelbring

Danny R. Spelbring is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (10 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiation (282 citations), Radiology, Nuclear Medicine and Imaging (550 citations) and Computer Vision and Pattern Recognition (371 citations). Danny R. Spelbring has collaborated with scholars based in United States and France. Frequent co-authors include George T.Y. Chen, Charles A. Pelizzari, Ralph R. Weichselbaum, Chin-Tu Chen, Paul Y. Song, Russell J. Hamilton, Srinivasan Vijayakumar, Florin Vaida, Daniel J. Haraf and Joanne Harrison. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Journal of Computer Assisted Tomography.

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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