Uta Büchler

423 citations
5 papers · 167 · h-index 5

Impact in

    • Transcranial Magnetic Stimulation Studies
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Face recognition and analysis
    • Multimodal Machine Learning Applications

Papers in

Uta Büchler

5 papers receiving 164 citations

Peers

Uta Büchler
Comparison fields: 5 of 48
  • Neurology 39
  • Computer Vision and Pattern Recognition 71
  • Cellular and Molecular Neuroscience 39
  • Rehabilitation 13
  • Artificial Intelligence 45
Replace Biagio Brattoli with:
Biagio Brattoli Germany
Joana Câmara Portugal
Hamid Okhravi United States
V. P. Gladis Pushpa Rathi United States
Boris Mansencal France
Jeremy Bockholt United States
Xinmei Hu China
Jianping Qiao China
Shuo Han United States
Himanshu Akolkar United States
Uta Büchler relative to Biagio Brattoli Germany Biagio Brattoli's profile →
Citations per field
00.5×1.5×
Biagio Brattoli · 1×
Citations per year

Countries citing papers authored by Uta Büchler

Since Specialization
Citations

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

Fields of papers citing papers by Uta Büchler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Uta Büchler, 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 Uta Büchler Line = papers co-authored together Uta Büchler links everyone, so they are left out of the graph.

All Works

About Uta Büchler

Uta Büchler is a scholar working on Computer Vision and Pattern Recognition, Rehabilitation, Neurology, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 5 papers that have together received 167 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (2 papers), Stroke Rehabilitation and Recovery (2 papers), Human Pose and Action Recognition (2 papers), Neuroscience and Neural Engineering (1 paper), Face recognition and analysis (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Video Surveillance and Tracking Methods (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (39 citations), Computer Vision and Pattern Recognition (71 citations), Cellular and Molecular Neuroscience (39 citations), Rehabilitation (13 citations) and Artificial Intelligence (45 citations). Uta Büchler has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Björn Ommer, Artsiom Sanakoyeu, Biagio Brattoli, Martin E. Schwab, Anna-Sophia Wahl, André W. Brändli, Simon Musall, Fritjof Helmchen, Benjamin Victor Ineichen and Martina Stirn. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism and Nature Communications.

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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