R. Senn

632 total citations
18 papers, 513 citations indexed

About

R. Senn is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, R. Senn has authored 18 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in R. Senn's work include Advanced X-ray and CT Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Radiation Dose and Imaging (8 papers). R. Senn is often cited by papers focused on Advanced X-ray and CT Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Radiation Dose and Imaging (8 papers). R. Senn collaborates with scholars based in United States and Spain. R. Senn's co-authors include Wojciech Zbijewski, J. Yorkston, Dong Yang, Nathan J. Packard, John A. Carrino, Jeffrey H. Siewerdsen, J. Webster Stayman, Abdullah Al Muhit, David H. Foos and Gaurav K. Thawait and has published in prestigious journals such as Radiology, Medical Physics and European Radiology.

In The Last Decade

R. Senn

18 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Senn United States 8 288 229 141 77 74 18 513
David H. Foos United States 16 446 1.5× 520 2.3× 104 0.7× 74 1.0× 60 0.8× 49 803
Jens Rump Germany 15 515 1.8× 571 2.5× 141 1.0× 6 0.1× 63 0.9× 34 863
R. Graumann Germany 10 176 0.6× 262 1.1× 74 0.5× 17 0.2× 14 0.2× 21 409
Eduardo Grande García Germany 12 105 0.4× 73 0.3× 131 0.9× 5 0.1× 120 1.6× 21 377
Tobias Klinder Germany 15 443 1.5× 351 1.5× 182 1.3× 163 2.1× 25 0.3× 47 800
Thierry Cresson Canada 12 278 1.0× 403 1.8× 280 2.0× 26 0.3× 32 0.4× 42 793
Mark S. Rzeszotarski United States 12 94 0.3× 370 1.6× 41 0.3× 7 0.1× 12 0.2× 21 540
Jang‐Hwan Choi South Korea 12 370 1.3× 390 1.7× 32 0.2× 25 0.3× 10 0.1× 65 533
M Lorenzen Germany 7 359 1.2× 412 1.8× 74 0.5× 8 0.1× 8 0.1× 14 554
Seshadri Srinivasan United States 12 609 2.1× 657 2.9× 78 0.6× 2 0.0× 34 0.5× 14 873

Countries citing papers authored by R. Senn

Since Specialization
Citations

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

Fields of papers citing papers by R. Senn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Senn

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

All Works

18 of 18 papers shown
1.
Demehri, Shadpour, Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2015). Assessment of image quality in soft tissue and bone visualization tasks for a dedicated extremity cone-beam CT system. European Radiology. 25(6). 1742–1751. 73 indexed citations
2.
Zbijewski, Wojciech, Alejandro Sisniega, J. Webster Stayman, et al.. (2014). High-performance soft-tissue imaging in extremity cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 903329–903329. 8 indexed citations
3.
Carrino, John A., Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2013). Dedicated Cone-Beam CT System for Extremity Imaging. Radiology. 270(3). 816–824. 180 indexed citations
4.
Muhit, Abdullah Al, Masato Ogawa, Yifu Ding, et al.. (2013). Peripheral quantitative CT (pQCT) using a dedicated extremity cone-beam CT scanner. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8672. 867203–867203. 15 indexed citations
5.
Yang, Dong, R. Senn, Nathan J. Packard, Samuel Richard, & J. Yorkston. (2013). Physical model-based metal artifact reduction (MAR) scheme for a 3D cone-beam CT extremity imaging system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8668. 86685T–86685T. 1 indexed citations
6.
Muhit, Abdullah Al, Wojciech Zbijewski, J. Webster Stayman, et al.. (2012). WE‐G‐217BCD‐04: Diagnostic Image Quality Evaluation of a Dedicated Extremity Cone‐ Beam CT Scanner: Pre‐Clinical Studies and First Clinical Results. Medical Physics. 39(6Part28). 3973–3973. 2 indexed citations
7.
Zbijewski, Wojciech, Alejandro Sisniega, J.J. Vaquero, et al.. (2012). Dose and scatter characteristics of a novel cone beam CT system for musculoskeletal extremities. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 831318–831318. 6 indexed citations
8.
Zbijewski, Wojciech, Punit Prakash, Yifu Ding, et al.. (2011). A dedicated cone‐beam CT system for musculoskeletal extremities imaging: Design, optimization, and initial performance characterization. Medical Physics. 38(8). 4700–4713. 125 indexed citations
9.
Zbijewski, Wojciech, Punit Prakash, Yifu Ding, et al.. (2011). Design and optimization of a dedicated cone-beam CT system for musculoskeletal extremities imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7961. 796104–796104. 6 indexed citations
10.
Souza, André & R. Senn. (2008). Model-based super-resolution for MRI. PubMed. 2008. 430–434. 11 indexed citations
11.
Senn, R., et al.. (2004). Enhancement method that provides direct and independent control of fundamental attributes of image quality for radiographic imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5367. 474–474. 7 indexed citations
12.
Luo, Jiebo & R. Senn. (1999). AUTOMATIC DETECTION OF RADIATION FIELDS IN DIGITAL RADIOGRAPHIC IMAGES. International Journal of Pattern Recognition and Artificial Intelligence. 13(1). 149–168. 1 indexed citations
13.
Injeyan, H., et al.. (1997). Diode array pumped kilowatt laser. IEEE Journal of Selected Topics in Quantum Electronics. 3(1). 53–58. 52 indexed citations
14.
Senn, R., et al.. (1997). <title>Detection of skin line in computed radiographs for improved tone scale</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3034. 1114–1123. 4 indexed citations
15.
Luo, Jiebo & R. Senn. (1997). <title>Collimation detection for digital radiography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3034. 74–85. 4 indexed citations
16.
Injeyan, H., et al.. (1994). Diode array-pumped kilowatt laser development. Conference on Lasers and Electro-Optics. 4 indexed citations
17.
Injeyan, H., Mark Weber, R. Senn, et al.. (1993). High brightness diode-pumped solid-state laser development. Conference on Lasers and Electro-Optics. 4 indexed citations
18.
Gustafson, Steven C., et al.. (1990). Generalization of the backpropagation neural network learning algorithm to permit complex weights. Applied Optics. 29(11). 1591–1591. 10 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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