Gräf

About

Gräf is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Gräf has authored 2 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Human-Computer Interaction. Recurrent topics in Gräf’s work include Robotic Path Planning Algorithms (1 paper), Gesture Recognition in Human-Computer Interaction (1 paper) and Robot Manipulation and Learning (1 paper). Gräf is often cited by papers focused on Robotic Path Planning Algorithms (1 paper), Gesture Recognition in Human-Computer Interaction (1 paper) and Robot Manipulation and Learning (1 paper). Gräf collaborates with scholars based in Canada and Germany. Gräf's co-authors include Barbara Caputo and Christian Wallraven and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University) and IEEE International Conference on Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Gräf i

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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.

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).

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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