H. Rehbinder

1.4k total citations
31 papers, 1.1k citations indexed

About

H. Rehbinder is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Control and Systems Engineering. According to data from OpenAlex, H. Rehbinder has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiation, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Control and Systems Engineering. Recurrent topics in H. Rehbinder's work include Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Imaging Techniques and Applications (6 papers). H. Rehbinder is often cited by papers focused on Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Imaging Techniques and Applications (6 papers). H. Rehbinder collaborates with scholars based in Sweden, Canada and United States. H. Rehbinder's co-authors include Xiaoming Hu, Martin Sanfridson, Bijoy K. Ghosh, Johan Löf, Kristy K. Brock, Karen Lim, Anthony Fyles, Valerie Kelly, Joanne Moseley and James Stewart and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

H. Rehbinder

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Rehbinder Sweden 15 401 361 299 211 193 31 1.1k
Ève Coste-Manière France 14 111 0.3× 139 0.4× 38 0.1× 62 0.3× 94 0.5× 34 753
Misha Kazhdan United States 10 194 0.5× 75 0.2× 222 0.7× 43 0.2× 150 0.8× 24 1.5k
Mark Foskey United States 12 73 0.2× 48 0.1× 127 0.4× 32 0.2× 152 0.8× 30 736
Floris Ernst Germany 21 98 0.2× 103 0.3× 462 1.5× 79 0.4× 415 2.2× 118 1.3k
Zichun Zhong United States 15 34 0.1× 12 0.0× 163 0.5× 67 0.3× 243 1.3× 54 953
Yinan Wang United Kingdom 16 217 0.5× 262 0.7× 79 0.3× 28 0.1× 108 0.6× 63 648
J.S.H. Tsai Taiwan 17 31 0.1× 416 1.2× 115 0.4× 225 1.1× 68 0.4× 90 982
Christian Roux France 21 73 0.2× 13 0.0× 78 0.3× 195 0.9× 720 3.7× 118 1.7k
Tian Liu United States 16 28 0.1× 19 0.1× 310 1.0× 412 2.0× 762 3.9× 73 1.7k
Ming Chuang United States 12 85 0.2× 55 0.2× 261 0.9× 20 0.1× 178 0.9× 14 944

Countries citing papers authored by H. Rehbinder

Since Specialization
Citations

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

Fields of papers citing papers by H. Rehbinder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Rehbinder

This figure shows the co-authorship network connecting the top 25 collaborators of H. Rehbinder. A scholar is included among the top collaborators of H. Rehbinder 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 H. Rehbinder. H. Rehbinder 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.
Lim, Karen, James Stewart, Valerie Kelly, et al.. (2014). Dosimetrically Triggered Adaptive Intensity Modulated Radiation Therapy for Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 90(1). 147–154. 45 indexed citations
2.
Oh, Seungjong, James Stewart, Joanne Moseley, et al.. (2013). Hybrid adaptive radiotherapy with on-line MRI in cervix cancer IMRT. Radiotherapy and Oncology. 110(2). 323–328. 49 indexed citations
3.
Wedenberg, Minna, Bengt K. Lind, Iuliana Toma-Daşu, H. Rehbinder, & Anders Brahme. (2010). Analytical Description of the LET Dependence of Cell Survival Using the Repairable-Conditionally Repairable Damage Model. Radiation Research. 174(4). 517–525. 14 indexed citations
4.
Stewart, James, Karen Lim, Valerie Kelly, et al.. (2010). Automated Weekly Replanning for Intensity-Modulated Radiotherapy of Cervix Cancer. International Journal of Radiation Oncology*Biology*Physics. 78(2). 350–358. 61 indexed citations
5.
Lim, Karen, Valerie Kelly, James Stewart, et al.. (2009). Pelvic Radiotherapy for Cancer of the Cervix: Is What You Plan Actually What You Deliver?. International Journal of Radiation Oncology*Biology*Physics. 74(1). 304–312. 93 indexed citations
6.
7.
Toma-Daşu, Iuliana, Sarah Roels, Piet Dirix, et al.. (2008). Robust treatment planning taking into account PET-imaged hypoxia. Radiotherapy and Oncology. 88.
8.
Stewart, James, Karen Lim, Joanne Moseley, et al.. (2008). Automated Weekly Online Replanning for IMRT of Cervix Cancer. International Journal of Radiation Oncology*Biology*Physics. 72(1). S18–S18. 3 indexed citations
9.
Lim, Kun Young, Anthony Fyles, Valerie Kelly, et al.. (2007). 5030 POSTER Dose impact of inter-fraction motion on whole pelvis IMRT in cervix cancer. European Journal of Cancer Supplements. 5(4). 319–320. 1 indexed citations
10.
Rehbinder, H., Jonas Andersson, Sune Ericson, et al.. (2006). A general software framework for investigations in radiation therapy planning. Medical Physics. 33(6). 2273–2273. 5 indexed citations
11.
Rehbinder, H., Jonas Andersson, Sune Ericson, et al.. (2006). TH‐C‐230A‐10: A General Software Framework for Investigations in Radiation Therapy Planning. Medical Physics. 33(6Part22). 2273–2273. 5 indexed citations
12.
Rehbinder, H., et al.. (2004). Adaptive radiation therapy for compensation of errors in patient setup and treatment delivery. Medical Physics. 31(12). 3363–3371. 42 indexed citations
13.
Rehbinder, H. & Xiaoming Hu. (2004). Drift-free attitude estimation for accelerated rigid bodies. Automatica. 40(4). 653–659. 184 indexed citations
14.
Rehbinder, H. & Bijoy K. Ghosh. (2003). Rigid body state estimation using dynamic vision and inertial sensors. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 3. 2398–2403. 4 indexed citations
15.
Rehbinder, H. & Bijoy K. Ghosh. (2003). Pose estimation using line-based dynamic vision and inertial sensors. IEEE Transactions on Automatic Control. 48(2). 186–199. 142 indexed citations
16.
Rehbinder, H. & Martin Sanfridson. (2003). Scheduling of a limited communication channel for optimal control. Automatica. 40(3). 491–500. 151 indexed citations
17.
Rehbinder, H. & Martin Sanfridson. (2002). Integration of off-line scheduling and optimal control. 137–143. 40 indexed citations
18.
Rehbinder, H. & Bijoy K. Ghosh. (2002). Multi-rate fusion of visual and inertial data. 97–102. 24 indexed citations
19.
Rehbinder, H. & Clyde F. Martin. (2001). A control theoretic model of the forearm. Journal of Biomechanics. 34(6). 741–748. 13 indexed citations
20.
Rehbinder, H. & Xiaoming Hu. (2000). Nonlinear state estimation for rigid-body motion with low-pass sensors. Systems & Control Letters. 40(3). 183–190. 36 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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