Håkan Nyström

2.8k total citations
40 papers, 2.0k citations indexed

About

Håkan Nyström is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Håkan Nyström has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiation, 31 papers in Pulmonary and Respiratory Medicine and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Håkan Nyström's work include Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (24 papers) and Radiation Detection and Scintillator Technologies (7 papers). Håkan Nyström is often cited by papers focused on Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (24 papers) and Radiation Detection and Scintillator Technologies (7 papers). Håkan Nyström collaborates with scholars based in Denmark, Sweden and Italy. Håkan Nyström's co-authors include Stine Korreman, Lena Specht, Anders N. Pedersen, Trine Jakobi Nøttrup, Lasse Rye Aarup, Elinore Wieslander, Tommy Knöös, H. Svensson, Mikael Karlsson and Antonella Fogliata and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Håkan Nyström

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Håkan Nyström Denmark 21 1.8k 1.3k 1.1k 423 283 40 2.0k
Lee M. Chin United States 27 1.4k 0.8× 893 0.7× 1.1k 1.0× 184 0.4× 249 0.9× 69 1.7k
Stine Korreman Denmark 32 2.5k 1.4× 1.7k 1.4× 1.9k 1.7× 484 1.1× 429 1.5× 99 2.9k
Bram van Asselen Netherlands 26 1.8k 1.0× 1.2k 0.9× 1.3k 1.2× 281 0.7× 173 0.6× 82 2.1k
Erik W. Korevaar Netherlands 24 1.2k 0.7× 1.1k 0.8× 671 0.6× 180 0.4× 133 0.5× 68 1.5k
S Goddu United States 26 1.2k 0.7× 954 0.7× 1.5k 1.4× 154 0.4× 216 0.8× 99 2.3k
Cristina Garibaldi Italy 26 1.1k 0.6× 941 0.7× 918 0.8× 183 0.4× 236 0.8× 93 1.8k
K Prado United States 21 1.0k 0.6× 927 0.7× 996 0.9× 91 0.2× 232 0.8× 71 1.5k
George W. Sherouse United States 22 1.0k 0.6× 727 0.6× 953 0.9× 129 0.3× 219 0.8× 43 1.5k
Paolo Francescon Italy 27 1.4k 0.8× 1.2k 0.9× 735 0.7× 51 0.1× 278 1.0× 61 2.3k
D. Huyskens Belgium 22 1.9k 1.0× 1.4k 1.1× 1.3k 1.2× 135 0.3× 391 1.4× 42 2.2k

Countries citing papers authored by Håkan Nyström

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Nyström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Håkan Nyström

This figure shows the co-authorship network connecting the top 25 collaborators of Håkan Nyström. A scholar is included among the top collaborators of Håkan Nyström 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 Håkan Nyström. Håkan Nyström 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.
Christensen, Jeppe Brage, et al.. (2018). Quenching-free fluorescence signal from plastic-fibres in proton dosimetry: understanding the influence of Čerenkov radiation. Physics in Medicine and Biology. 63(6). 65001–65001. 11 indexed citations
2.
Boersma, D. J., et al.. (2018). A beam model for focused proton pencil beams. Physica Medica. 52. 27–32. 24 indexed citations
3.
Rosenschöld, Per Munck af, et al.. (2010). A treatment planning study of the potential of geometrical tracking for intensity modulated proton therapy of lung cancer. Acta Oncologica. 49(7). 1141–1148. 11 indexed citations
4.
Nyström, Håkan. (2010). The role of protons in modern and biologically-guided radiotherapy. Acta Oncologica. 49(7). 1124–1131. 13 indexed citations
5.
Aarup, Lasse Rye, Alan E. Nahum, C. Zacharatou, et al.. (2009). The effect of different lung densities on the accuracy of various radiotherapy dose calculation methods: Implications for tumour coverage. Radiotherapy and Oncology. 91(3). 405–414. 120 indexed citations
6.
Korreman, Stine, Trine Juhler‐Nøttrup, Gitte Fredberg Persson, et al.. (2008). The role of image guidance in respiratory gated radiotherapy. Acta Oncologica. 47(7). 1390–1396. 37 indexed citations
7.
Georg, Dietmar, Tufve Nyholm, Jörgen Olofsson, et al.. (2007). Clinical evaluation of monitor unit software and the application of action levels. Radiotherapy and Oncology. 85(2). 306–315. 27 indexed citations
8.
Korreman, Stine, et al.. (2007). Intra- and interfraction breathing variations during curative radiotherapy for lung cancer. Radiotherapy and Oncology. 84(1). 40–48. 82 indexed citations
9.
Korreman, Stine, Anders N. Pedersen, Lasse Rye Aarup, et al.. (2006). Reduction of cardiac and pulmonary complication probabilities after breathing adapted radiotherapy for breast cancer. International Journal of Radiation Oncology*Biology*Physics. 65(5). 1375–1380. 132 indexed citations
10.
Knöös, Tommy, Elinore Wieslander, Luca Cozzi, et al.. (2006). Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations. Physics in Medicine and Biology. 51(22). 5785–5807. 268 indexed citations
11.
Korreman, Stine, Anders N. Pedersen, Mirjana Josipović, et al.. (2006). Cardiac and pulmonary complication probabilities for breast cancer patients after routine end-inspiration gated radiotherapy. Radiotherapy and Oncology. 80(2). 257–262. 60 indexed citations
12.
Nyström, Håkan, et al.. (2006). MO‐E‐330A‐03: Automated Texture Based CT Segmentation by Gabor Filtering and Fuzzy Clustering. Medical Physics. 33(6Part15). 2170–2170. 2 indexed citations
13.
Engström, Per, et al.. (2005). In vivo dose verification of IMRT treated head and neck cancer patients. Acta Oncologica. 44(6). 572–578. 19 indexed citations
14.
Korreman, Stine, Lasse Rye Aarup, Mari Olsen, et al.. (2005). 144 Changes in respiratory pattern during curative radiotherapy for lung cancer. Radiotherapy and Oncology. 76. S74–S75. 5 indexed citations
15.
Nyström, Håkan, et al.. (2005). Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS). Physics in Medicine and Biology. 50(19). 4721–4728. 75 indexed citations
16.
Pedersen, Anders N., Stine Korreman, Håkan Nyström, & Lena Specht. (2004). Breathing adapted radiotherapy of breast cancer: reduction of cardiac and pulmonary doses using voluntary inspiration breath-hold. Radiotherapy and Oncology. 72(1). 53–60. 207 indexed citations
17.
Gustavsson, Helen, Anna Karlsson, Sven Å J Bäck, et al.. (2003). MAGIC‐type polymer gel for three‐dimensional dosimetry: Intensity‐modulated radiation therapy verification. Medical Physics. 30(6). 1264–1271. 94 indexed citations
18.
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20.
Nyström, Håkan & Magnus Karlsson. (1994). Photon beam quality specification by narrow-beam transmission measurements. Physics in Medicine and Biology. 39(8). 1231–1245. 22 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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