Eva Maria Hammer

2.1k citations
13 papers · 1.6k indexed · 1 hit paper · h-index 11
Topics
EEG and Brain-Computer Interfaces (10 papers)Neuroscience and Neural Engineering (7 papers)Neural and Behavioral Psychology Studies (5 papers)

In The Last Decade

Eva Maria Hammer

13 papers receiving 1.6k citations

Hit Papers

Neurophysiological predictor of SMR-based BCI performance20102026201520202010100200300400500

Peers

Eva Maria Hammer
Comparison fields: 5 of 74
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 703
  • Electrical and Electronic Engineering 246
  • Biomedical Engineering 210
  • Human-Computer Interaction 207
Replace Rupert Ortner with:
Rupert Ortner Austria
Joseph N. Mak Hong Kong
Vera Kaiser Austria
Christine H Blabe United States
Cristian Grozea Germany
Angela Riccio Italy
Adrian Furdea Germany
Emad N. Eskandar United States
Roberta Carabalona Italy
Andrea Biasiucci Switzerland
Eva Maria Hammer relative to Rupert Ortner Austria Rupert Ortner's profile →
Citations per field
00.5×1.5×2.0×
Rupert Ortner · 1×
Citations per year

Countries citing papers authored by Eva Maria Hammer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Maria Hammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maria Hammer. 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 Eva Maria Hammer. The network helps show where Eva Maria Hammer may publish in the future.

Co-authorship network of co-authors of Eva Maria Hammer

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maria Hammer. A scholar is included among the top collaborators of Eva Maria Hammer 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 Eva Maria Hammer. Eva Maria Hammer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 18
2 42
3 50
4 2
5 159
6 213
7 138
8
Visually Multimodal vs. Classic Unimodal Feedback Approach for SMR-BCIs: A Comparison Study
9
9 131
10
Neurophysiological predictor of SMR-based BCI performancebreakdown →
521
11 226
12 75
13 50

About Eva Maria Hammer

Eva Maria Hammer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Neuroscience and Neural Engineering (7 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (703 citations) and Human-Computer Interaction (207 citations). Eva Maria Hammer has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Sebastian Halder, Andrea Kübler, Benjamin Blankertz, Thorsten Dickhaus, Claudia Sannelli, Klaus‐Robert Müller, Gabriel Curio, Sonja C. Kleih, Niels Birbaumer and Femke Nijboer. Their work appears in journals such as PLoS ONE, NeuroImage and Annals of the New York Academy of Sciences.

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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