Marcel Simis

58 papers receiving 1.1k citations

Peers

Marcel Simis
Comparison fields: 5 of 64
  • Neurology 482
  • Anesthesiology and Pain Medicine 152
  • Rehabilitation 156
  • Cognitive Neuroscience 238
  • Psychiatry and Mental health 98
Replace Suk Hoon Ohn with:
Suk Hoon Ohn South Korea
Michèle Hubli Switzerland
Mohamed A. Ahmed Egypt
Mariana E. Mendonça United States
Monica Christova Austria
Т. Р. Мошонкина Russia
Marco Antônio Marcolin Brazil
Ela B. Plow United States
Melvin Mezue United Kingdom
Sabina Hotz‐Boendermaker Switzerland
Marcel Simis relative to Suk Hoon Ohn South Korea Suk Hoon Ohn's profile →
Citations per field
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Suk Hoon Ohn · 1×
Citations per year

Countries citing papers authored by Marcel Simis

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Simis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcel Simis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcel Simis Line = papers co-authored together Marcel Simis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2 2016138
3 201751
4 201350
5 202146
6 201445
7 201333
8 202232
9 202032
10 202130
11 202029
12 201528
13 202127
14 201623
15 201723
16 202121
17 202020
18 201620
19 202019
20 202118

About Marcel Simis

Marcel Simis is a scholar working on Neurology, Rehabilitation, Anesthesiology and Pain Medicine, Cognitive Neuroscience and Biomedical Engineering, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (22 papers), Stroke Rehabilitation and Recovery (13 papers), Pain Management and Treatment (9 papers), Muscle activation and electromyography studies (9 papers), Pain Mechanisms and Treatments (5 papers), EEG and Brain-Computer Interfaces (5 papers), Acute Ischemic Stroke Management (3 papers) and Spinal Cord Injury Research (3 papers). The work is most often cited by research in Neurology (482 citations), Anesthesiology and Pain Medicine (152 citations), Rehabilitation (156 citations), Cognitive Neuroscience (238 citations) and Psychiatry and Mental health (98 citations). Marcel Simis has collaborated with scholars based in Brazil, United States and Peru. Frequent co-authors include Felipe Fregni, Linamara Rizzo Battistella, Bamidele O. Adeyemo, Marta Imamura, Kevin Pacheco‐Barrios, Mariana E. Mendonça, Abrahão Fontes Baptista, Felipe Fregni, Paulo S. de Melo and Anna Marduy. Their work appears in journals such as Clinical Neurophysiology, Frontiers in Human Neuroscience, Neurophysiologie Clinique, Journal of Visualized Experiments and Scientific Reports.

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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