László Grand

770 citations
16 papers · 363 indexed · h-index 10

Impact in

Papers in

László Grand

16 papers receiving 356 citations

Peers

László Grand
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 278
  • Cognitive Neuroscience 177
  • Polymers and Plastics 44
  • Psychiatry and Mental health 40
  • Physical Therapy, Sports Therapy and Rehabilitation 10
Replace Nawal Kinany with:
Nawal Kinany Switzerland
Marco Bonizzato Canada
J.S. McIntosh United States
Sophie Wurth Switzerland
Mónica Rojas-Martínez Spain
Hank Bink United States
Manzhao Hao China
Nathan Fitzsimmons United States
Rachel M. Miriani United States
Mila Halgren United States
László Grand relative to Nawal Kinany Switzerland Nawal Kinany's profile →
Citations per field
00.5×2.7×
Nawal Kinany · 1×
Citations per year

Countries citing papers authored by László Grand

Since Specialization
Citations

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

Fields of papers citing papers by László Grand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside László Grand, 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 László Grand Line = papers co-authored together László Grand links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017122
2 201050
3 200749
4 201028
5 200821
6 202119
7 201318
8 201414
9 202310
10 201210
11 20229
12 20196
13 20113
14 20202
15 20251
16 20181

About László Grand

László Grand is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Psychiatry and Mental health and Electrical and Electronic Engineering, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Epilepsy research and treatment (3 papers), Balance, Gait, and Falls Prevention (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (278 citations), Cognitive Neuroscience (177 citations), Polymers and Plastics (44 citations), Psychiatry and Mental health (40 citations) and Physical Therapy, Sports Therapy and Rehabilitation (10 citations). László Grand has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Katarzyna M. Szostak, Timothy G. Constandinou, István Ulbert, Igor Timofeev, G. Karmos, Lúcia Wittner, Balázs Dombovári, Herc P. Neves, Patrick Ruther and Stanislav Herwik. Their work appears in journals such as Cancers, Scientific Reports, Neuroscience, Brain and Frontiers in Neuroscience.

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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