Alexander Schick

433 total citations
11 papers, 231 citations indexed

About

Alexander Schick is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Alexander Schick has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Human-Computer Interaction and 2 papers in Cognitive Neuroscience. Recurrent topics in Alexander Schick's work include Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and Hand Gesture Recognition Systems (3 papers). Alexander Schick is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and Hand Gesture Recognition Systems (3 papers). Alexander Schick collaborates with scholars based in Germany, Switzerland and Hungary. Alexander Schick's co-authors include Rainer Stiefelhagen, Martin Bäuml, Tanja Schultz, Christoph Amma, Joris IJsselmuiden, Zsolt Szucs‐Farkas, Peter Vock, Jennifer L. Cullmann, Lukas Ebner and Andreas Christe and has published in prestigious journals such as American Journal of Roentgenology, Pattern Recognition Letters and at - Automatisierungstechnik.

In The Last Decade

Alexander Schick

11 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Schick Germany 7 142 62 36 32 31 11 231
Sewoong Ahn South Korea 10 230 1.6× 45 0.7× 114 3.2× 11 0.3× 21 0.7× 19 310
Yong-Goo Shin South Korea 10 282 2.0× 32 0.5× 37 1.0× 32 1.0× 8 0.3× 34 351
Sasan Mahmoodi United Kingdom 12 212 1.5× 30 0.5× 13 0.4× 50 1.6× 17 0.5× 39 309
Shengye Yan China 6 224 1.6× 59 1.0× 39 1.1× 30 0.9× 9 0.3× 15 269
Ryota Suzuki Japan 9 124 0.9× 33 0.5× 13 0.4× 43 1.3× 20 0.6× 35 232
Hotaka Takizawa Japan 10 78 0.5× 60 1.0× 5 0.1× 36 1.1× 91 2.9× 57 275
Pierre-Yves Laffont France 9 356 2.5× 39 0.6× 68 1.9× 20 0.6× 33 1.1× 21 433
Julia Vogel Germany 9 386 2.7× 9 0.1× 105 2.9× 61 1.9× 33 1.1× 17 497
Shoichiro Yamaguchi Japan 6 158 1.1× 26 0.4× 61 1.7× 55 1.7× 5 0.2× 27 345
Qin Cai United States 8 133 0.9× 128 2.1× 14 0.4× 6 0.2× 12 0.4× 10 239

Countries citing papers authored by Alexander Schick

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Schick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Schick

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

All Works

11 of 11 papers shown
1.
Schick, Alexander, et al.. (2022). Measuring and evaluating the compactness of superpixels. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 7 indexed citations
2.
Schick, Alexander & Rainer Stiefelhagen. (2015). 3D Pictorial Structures for Human Pose Estimation with Supervoxels. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 140–147. 6 indexed citations
3.
Schick, Alexander. (2014). Human Pose Estimation with Supervoxels. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
4.
Schick, Alexander, et al.. (2013). An evaluation of the compactness of superpixels. Pattern Recognition Letters. 43. 71–80. 30 indexed citations
5.
Weikersdorfer, David, Alexander Schick, & Daniel Cremers. (2013). Depth-adaptive supervoxels for RGB-D video segmentation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2708–2712. 10 indexed citations
6.
Szucs‐Farkas, Zsolt, Alexander Schick, Jennifer L. Cullmann, et al.. (2013). Comparison of Dual-Energy Subtraction and Electronic Bone Suppression Combined With Computer-Aided Detection on Chest Radiographs: Effect on Human Observers' Performance in Nodule Detection. American Journal of Roentgenology. 200(5). 1006–1013. 26 indexed citations
7.
Voit, Michael, et al.. (2013). Visuelle Perzeption für die multimodale Mensch-Maschine-Interaktion in und mit aufmerksamen Räumen. at - Automatisierungstechnik. 61(11). 1 indexed citations
8.
Schick, Alexander, et al.. (2012). Vision-based handwriting recognition for unrestricted text input in mid-air. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 217–220. 46 indexed citations
9.
Schick, Alexander, Martin Bäuml, & Rainer Stiefelhagen. (2012). Improving foreground segmentations with probabilistic superpixel Markov random fields. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 27–31. 77 indexed citations
10.
Schick, Alexander & Rainer Stiefelhagen. (2011). Evaluating image segments by applying the description length to sets of superpixels. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 35. 1394–1401. 5 indexed citations
11.
Schick, Alexander, et al.. (2009). Extending touch. 117–124. 22 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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