Magnus Thordstein

1.3k total citations
52 papers, 987 citations indexed

About

Magnus Thordstein is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Magnus Thordstein has authored 52 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pediatrics, Perinatology and Child Health, 24 papers in Cognitive Neuroscience and 13 papers in Biomedical Engineering. Recurrent topics in Magnus Thordstein's work include Neonatal and fetal brain pathology (23 papers), EEG and Brain-Computer Interfaces (21 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Magnus Thordstein is often cited by papers focused on Neonatal and fetal brain pathology (23 papers), EEG and Brain-Computer Interfaces (21 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Magnus Thordstein collaborates with scholars based in Sweden, Spain and Bulgaria. Magnus Thordstein's co-authors include Ingemar Kjellmer, Klara Thiringer, Henrik Hagberg, Fernando Seoane, Anders Flisberg, Kaj Lindecrantz, Ralph Bågenholm, P. Andersson, Peter Andiné and Radu Constantinescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neuroreport.

In The Last Decade

Magnus Thordstein

51 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magnus Thordstein Sweden 18 485 285 183 165 135 52 987
Katrien Jansen Belgium 26 707 1.5× 982 3.4× 266 1.5× 213 1.3× 156 1.2× 117 1.9k
Hyang Woon Lee South Korea 22 332 0.7× 429 1.5× 114 0.6× 221 1.3× 62 0.5× 92 1.5k
Torsten Olsson Sweden 19 222 0.5× 152 0.5× 83 0.5× 352 2.1× 317 2.3× 48 1.3k
Jan Rémi Germany 20 246 0.5× 573 2.0× 37 0.2× 371 2.2× 45 0.3× 110 1.3k
Gholam K. Motamedi United States 20 296 0.6× 615 2.2× 36 0.2× 563 3.4× 48 0.4× 54 1.5k
Jinse Park South Korea 21 78 0.2× 184 0.6× 123 0.7× 178 1.1× 60 0.4× 85 1.4k
Alessandra Del Felice Italy 21 121 0.2× 627 2.2× 174 1.0× 215 1.3× 45 0.3× 86 1.4k
Yusuf Özgür Çakmak New Zealand 19 69 0.1× 232 0.8× 117 0.6× 175 1.1× 84 0.6× 74 1.1k
Sandipan Pati United States 21 127 0.3× 493 1.7× 330 1.8× 399 2.4× 84 0.6× 81 1.6k
Rebecca K. Harper United States 13 173 0.4× 484 1.7× 85 0.5× 59 0.4× 147 1.1× 26 1.1k

Countries citing papers authored by Magnus Thordstein

Since Specialization
Citations

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

Fields of papers citing papers by Magnus Thordstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magnus Thordstein

This figure shows the co-authorship network connecting the top 25 collaborators of Magnus Thordstein. A scholar is included among the top collaborators of Magnus Thordstein 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 Magnus Thordstein. Magnus Thordstein 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.
Thordstein, Magnus. (2025). Transspinal direct current stimulation as treatment of polyneuropathy pain. Translation to clinical practice. Brain stimulation. 18(1). 576–577. 1 indexed citations
2.
Olausson, Håkan, et al.. (2023). Get a New Perspective on EEG: Convolutional Neural Network Encoders for Parametric t-SNE. Brain Sciences. 13(3). 453–453. 10 indexed citations
3.
Wahlgren, Carl, et al.. (2020). Prevalence of discomplete sensorimotor spinal cord injury as evidenced by neurophysiological methods: A cross-sectional study. Journal of Rehabilitation Medicine. 53(2). jrm00156–jrm00156. 15 indexed citations
4.
Thordstein, Magnus, et al.. (2020). Effect of transspinal direct current stimulation on afferent pain signalling in humans. Journal of Clinical Neuroscience. 77. 163–167. 8 indexed citations
5.
Backman, Sofia, Ingmar Rosén, Mats Blennow, et al.. (2018). Swedish consensus reached on recording, interpretation and reporting of neonatal continuous simplified electroencephalography that is supported by amplitude‐integrated trend analysis. Acta Paediatrica. 107(10). 1702–1709. 4 indexed citations
6.
Pegenius, Göran, et al.. (2018). Navigated transcranial magnetic stimulation for preoperative cortical mapping of expressive language in children: Development of a method. Epilepsy & Behavior. 87. 180–187. 2 indexed citations
7.
Jakola, Asgeir Store, et al.. (2017). Pre-operative language ability in patients with presumed low-grade glioma. Journal of Neuro-Oncology. 137(1). 93–102. 18 indexed citations
8.
Thordstein, Magnus & Radu Constantinescu. (2012). Possibly lifesaving, noninvasive, EEG‐guided neuromodulation in anesthesia‐refractory partial status epilepticus. Epilepsy & Behavior. 25(3). 468–472. 29 indexed citations
9.
10.
Thordstein, Magnus, T Hallböök, Johan Lundgren, Danielle van Westen, & Mikael Elam. (2011). Transfer of Cortical Motor Representation After a Perinatal Cerebral Insult. Pediatric Neurology. 44(2). 131–134. 4 indexed citations
11.
Thordstein, Magnus, et al.. (2010). Automatic classification of background EEG activity in healthy and sick neonates. Journal of Neural Engineering. 7(1). 16007–16007. 53 indexed citations
12.
Thordstein, Magnus, et al.. (2008). Classification of burst and suppression in the neonatal electroencephalogram. Journal of Neural Engineering. 5(4). 402–410. 29 indexed citations
13.
Thordstein, Magnus, et al.. (2008). Comparing a supervised and an unsupervised classification method for burst detection in neonatal EEG. PubMed. 15. 3836–3839. 3 indexed citations
14.
Thordstein, Magnus, et al.. (2006). Sex differences in electrocortical activity in human neonates. Neuroreport. 17(11). 1165–1168. 40 indexed citations
15.
Thordstein, Magnus, et al.. (2005). Infraslow EEG activity in burst periods from post asphyctic full term neonates. Clinical Neurophysiology. 116(7). 1501–1506. 19 indexed citations
16.
Thordstein, Magnus, Anders Flisberg, Ralph Bågenholm, et al.. (2004). Spectral analysis of burst periods in EEG from healthy and post-asphyctic full-term neonates. Clinical Neurophysiology. 115(11). 2461–2466. 24 indexed citations
17.
Thordstein, Magnus, Ralph Bågenholm, Anders Hedström, et al.. (2000). Chapter 10 Long-term EEG monitoring in neonatal and pediatric intensive care. Supplements to Clinical neurophysiology. 53. 76–83. 4 indexed citations
18.
Thordstein, Magnus & Ulf Nilsson. (1992). Cerebral lipid peroxidation in the growth retarded rat fetus under normoxia and hypoxia. Journal of Perinatal Medicine. 20(1). 15–23. 2 indexed citations
19.
Kjellmer, Ingemar, Magnus Thordstein, & Margareta Wennergren. (1992). Cerebral Function in the Gowth-Retarded Fetus and Neonate. Neonatology. 62(4). 265–270. 17 indexed citations
20.
Thordstein, Magnus, Thomas Jansson, & B. Kristiansson. (1991). Cerebral Function of the Guinea Pig Neonate after Chronic Intrauterine Exposure to Khat <i>(Catha edulis </i>Forsk.). Neonatology. 59(3). 161–170. 2 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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