Gräf

412 total citations
3 papers, 289 citations indexed

About

Gräf is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Gräf has authored 3 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Human-Computer Interaction and 1 paper in Control and Systems Engineering. Recurrent topics in Gräf's work include Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Robot Manipulation and Learning (1 paper). Gräf is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (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 Max Planck Institute for Plasma Physics and IEEE International Conference on Neural Networks.

In The Last Decade

Gräf

3 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gräf Canada	3	230	78	49	37	21	3	289
Minoru Maruyama Japan	9	231 1.0×	47 0.6×	55 1.1×	23 0.6×	41 2.0×	44	303
Hiromitsu Yamada Japan	8	296 1.3×	66 0.8×	77 1.6×	17 0.5×	16 0.8×	29	346
Hanlin Goh Singapore	9	163 0.7×	74 0.9×	46 0.9×	18 0.5×	14 0.7×	20	256
Raymond D. Rimey United States	6	185 0.8×	87 1.1×	27 0.6×	66 1.8×	19 0.9×	16	275
Zhangzhang Si United States	9	348 1.5×	149 1.9×	30 0.6×	31 0.8×	26 1.2×	15	416
Yong Rui United States	4	204 0.9×	137 1.8×	24 0.5×	41 1.1×	37 1.8×	5	308
Hongping Cai China	9	182 0.8×	52 0.7×	37 0.8×	32 0.9×	12 0.6×	10	232
Chunhua Shen Australia	8	206 0.9×	139 1.8×	44 0.9×	19 0.5×	10 0.5×	10	298
Josh Harguess United States	10	198 0.9×	90 1.2×	37 0.8×	43 1.2×	54 2.6×	44	308
A. Diplaros Netherlands	5	260 1.1×	55 0.7×	51 1.0×	33 0.9×	18 0.9×	7	303

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-authorship network of co-authors of Gräf

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

All Works

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

Wallraven, Christian, Barbara Caputo, & Gräf. (2003). Recognition with local features: the kernel recipe. Max Planck Institute for Plasma Physics. 257–264 vol.1. 238 indexed citations

2.

Gräf, et al.. (1989). Neuroplanners for hand/eye coordination. 1 and 2. 543–548 vol.2. 15 indexed citations

3.

Gräf, et al.. (1988). A neural controller for collision-free movement of general robot manipulators. IEEE International Conference on Neural Networks. 77–84 vol.1. 36 indexed citations

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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