Gräf

412 citations
3 papers · 289 · h-index 3

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Face and Expression Recognition
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Remote-Sensing Image Classification

Papers in

Journals
IEEE International Conference on Neural Networks (1 paper)Max Planck Institute for Plasma Physics (1 paper)
Partner nations
CanadaGermany

In The Last Decade

Gräf

3 papers receiving 270 citations

Peers

Gräf
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 230
  • Media Technology 49
  • Artificial Intelligence 78
  • Signal Processing 21
  • Computational Mathematics 1
Replace Minoru Maruyama with:
Minoru Maruyama Japan
Hiromitsu Yamada Japan
Zhangzhang Si United States
Carl Case United States
A. Diplaros Netherlands
Hanlin Goh Singapore
Raymond D. Rimey United States
Jeffrey Wu United States
Congcong Li China
Chunhua Shen Australia
Gräf relative to Minoru Maruyama Japan Minoru Maruyama's profile →
Citations per field
00.5×1.7×
Minoru Maruyama · 1×
Citations per year

Countries citing papers authored by Gräf

Since Specialization
Citations

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

Fields of papers citing papers by Gräf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Gräf, 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 Gräf Line = papers co-authored together Gräf links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 2003238
2 198836
3 198915

About Gräf

Gräf is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Control and Systems Engineering, Cognitive Neuroscience and Neurology, having authored 3 papers that have together received 289 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Face and Expression Recognition (1 paper), Hand Gesture Recognition Systems (1 paper), EEG and Brain-Computer Interfaces (1 paper), Robotic Path Planning Algorithms (1 paper), Robot Manipulation and Learning (1 paper) and Vestibular and auditory disorders (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Media Technology (49 citations), Artificial Intelligence (78 citations), Signal Processing (21 citations) and Computational Mathematics (1 citation). Gräf has collaborated with scholars based in Canada and Germany. Frequent co-authors include Barbara Caputo and Christian Wallraven. Their work appears in journals such as IEEE International Conference on Neural Networks and Max Planck Institute for Plasma Physics.

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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