Martin Hardmeier

1.7k total citations
44 papers, 1.2k citations indexed

About

Martin Hardmeier is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Martin Hardmeier has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 18 papers in Cognitive Neuroscience and 11 papers in Neurology. Recurrent topics in Martin Hardmeier's work include Multiple Sclerosis Research Studies (20 papers), EEG and Brain-Computer Interfaces (15 papers) and Functional Brain Connectivity Studies (9 papers). Martin Hardmeier is often cited by papers focused on Multiple Sclerosis Research Studies (20 papers), EEG and Brain-Computer Interfaces (15 papers) and Functional Brain Connectivity Studies (9 papers). Martin Hardmeier collaborates with scholars based in Switzerland, United States and Germany. Martin Hardmeier's co-authors include Peter Fuhr, Florian Hatz, Christian Schindler, Habib Bousleiman, Stephan Rüegg, Cornelis J. Stam, Ute Gschwandtner, Yvonne Naegelin, Letizia Leocani and Christoph M. Michel and has published in prestigious journals such as The Lancet, PLoS ONE and NeuroImage.

In The Last Decade

Martin Hardmeier

38 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
Martin Hardmeier Switzerland 19 640 311 228 185 149 44 1.2k
Dominique Dive Belgium 14 378 0.6× 140 0.5× 124 0.5× 243 1.3× 193 1.3× 37 824
Gabriel González‐Escamilla Germany 17 463 0.7× 192 0.6× 256 1.1× 246 1.3× 145 1.0× 67 1.0k
Dae‐Won Seo South Korea 21 314 0.5× 109 0.4× 386 1.7× 340 1.8× 294 2.0× 87 1.2k
Arnold Skimminge Denmark 19 560 0.9× 143 0.5× 234 1.0× 302 1.6× 83 0.6× 31 1.3k
Milan Arsić Germany 5 244 0.4× 357 1.1× 160 0.7× 258 1.4× 69 0.5× 5 1.1k
Krisztina Benedek Denmark 18 345 0.5× 111 0.4× 135 0.6× 312 1.7× 135 0.9× 44 828
Doriana Landi Italy 18 319 0.5× 545 1.8× 232 1.0× 82 0.4× 101 0.7× 58 1.2k
Fuqing Zhou China 26 1.2k 1.9× 317 1.0× 252 1.1× 108 0.6× 152 1.0× 134 2.1k
Shigeaki Matsuoka Japan 19 485 0.8× 94 0.3× 293 1.3× 88 0.5× 188 1.3× 73 1.3k
Giovanni Giulietti Italy 23 640 1.0× 151 0.5× 148 0.6× 269 1.5× 102 0.7× 50 1.4k

Countries citing papers authored by Martin Hardmeier

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hardmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hardmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hardmeier. A scholar is included among the top collaborators of Martin Hardmeier 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 Martin Hardmeier. Martin Hardmeier 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.
Papadopoulou, Athina, Charidimos Tsagkas, Laura Gaetano, et al.. (2024). Visual evoked potentials in multiple sclerosis: P100 latency and visual pathway damage including the lateral geniculate nucleus. Clinical Neurophysiology. 161. 122–132. 3 indexed citations
2.
Hardmeier, Martin, et al.. (2024). Electroencephalographic compatibility with fitness to drive: A nationwide survey among Swiss neurologists. Epilepsia Open. 9(6). 2219–2229.
3.
Hardmeier, Martin, et al.. (2022). Cefepime-Induced Neurotoxicity in the Setting of Acute Kidney Injury: A Case Series and Discussion of Preventive Measures. Cureus. 14(6). e26392–e26392. 4 indexed citations
4.
5.
Hardmeier, Martin & Peter Fuhr. (2020). Multimodal Evoked Potentials as Candidate Prognostic and Response Biomarkers in Clinical Trials of Multiple Sclerosis. Journal of Clinical Neurophysiology. 38(3). 171–180. 16 indexed citations
6.
Hardmeier, Martin, Christian Schindler, Jens Kühle, & Peter Fuhr. (2020). Validation of Quantitative Scores Derived From Motor Evoked Potentials in the Assessment of Primary Progressive Multiple Sclerosis: A Longitudinal Study. Frontiers in Neurology. 11. 735–735. 12 indexed citations
7.
Hardmeier, Martin, Heiner C. Bucher, Clemens Winterhalder, et al.. (2020). Muscle stiffness, gait instability, and liver cirrhosis in Wilson's disease. The Lancet. 396(10256). 990–990.
8.
Papadopoulou, Athina, Laura Gaetano, Charidimos Tsagkas, et al.. (2019). Damage of the lateral geniculate nucleus in MS. Neurology. 92(19). e2240–e2249. 30 indexed citations
9.
Tomescu, Miralena I., Tonia A. Rihs, Vincent Rochas, et al.. (2018). From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging. Developmental Cognitive Neuroscience. 31. 58–66. 90 indexed citations
10.
Hatz, Florian, Martin Hardmeier, Habib Bousleiman, et al.. (2016). Reliability of Functional Connectivity of Electroencephalography Applying Microstate-Segmented Versus Classical Calculation of Phase Lag Index. Brain Connectivity. 6(6). 461–469. 12 indexed citations
11.
Gschwind, Markus, Martin Hardmeier, Dimitri Van De Ville, et al.. (2016). Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis. NeuroImage Clinical. 12. 466–477. 86 indexed citations
12.
Hatz, Florian, Martin Hardmeier, Michael M. Ehrensperger, et al.. (2015). Microstate connectivity alterations in patients with early Alzheimer’s disease. Alzheimer s Research & Therapy. 7(1). 78–78. 39 indexed citations
13.
Zimmermann, Ronan, Ute Gschwandtner, Florian Hatz, et al.. (2015). Correlation of EEG Slowing with Cognitive Domains in Nondemented Patients with Parkinson's Disease. Dementia and Geriatric Cognitive Disorders. 39(3-4). 207–214. 26 indexed citations
14.
Schlaeger, Regina, Martin Hardmeier, & Peter Fuhr. (2013). Superficial brain stimulation in multiple sclerosis. Handbook of clinical neurology. 116. 577–584. 3 indexed citations
15.
Hardmeier, Martin, Florian Hatz, Yvonne Naegelin, et al.. (2013). Improved Characterization of Visual Evoked Potentials in Multiple Sclerosis by Topographic Analysis. Brain Topography. 27(2). 318–327. 14 indexed citations
16.
Zimmermann, Ronan, Michael M. Ehrensperger, Ute Gschwandtner, et al.. (2011). Clinical EEG in cognitively impaired patients with Parkinson's Disease. Journal of the Neurological Sciences. 310(1-2). 75–78. 17 indexed citations
17.
Rüegg, Stephan, Yvonne Naegelin, Martin Hardmeier, et al.. (2008). Intravenous levetiracetam: Treatment experience with the first 50 critically ill patients. Epilepsy & Behavior. 12(3). 477–480. 75 indexed citations
18.
Hardmeier, Martin, Martin Eichhorn, & Gabriela Stoppe. (2006). Erregungszustände und γ-Hydroxybutyrat. Der Nervenarzt. 77(9). 1111–1114.
19.
Kühle, Jens, et al.. (2004). 8 year follow-up of the European study of Interferon beta-1b (EUSPMS) in secondary progressive MS. UCL Discovery (University College London). 3 indexed citations
20.
Hardmeier, Martin. (2003). Atrophy Is Detectable Within a 3-Month Period in Untreated Patients With Active Relapsing Remitting Multiple Sclerosis. Archives of Neurology. 60(12). 1736–1736. 30 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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