Michael Raschke

727 citations
23 papers · 393 · h-index 10

Impact in

Papers in

Michael Raschke

22 papers receiving 365 citations

Peers

Michael Raschke
Comparison fields: 5 of 56
  • Human-Computer Interaction 217
  • Computer Vision and Pattern Recognition 300
  • Geography, Planning and Development 28
  • Signal Processing 47
  • Experimental and Cognitive Psychology 38
Replace Sébastien Lallé with:
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Lance Good United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Raschke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Raschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Michael Raschke, 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 Michael Raschke Line = papers co-authored together Michael Raschke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201342
3 201233
4 201629
5 201528
6 201420
7 201318
8 201416
9 201414
10 201811
11
Interactive Auditory Display to Support Situational Awareness in Video Surveillance
20119
12 20148
13 20156
14 20145
15
Exploring Spatio-Temporal Data Modeled as Dynamic Weighted Relations
20133
16 20212
17 20172
18 20131
19 20171
20 20161

About Michael Raschke

Michael Raschke is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Signal Processing and Artificial Intelligence, having authored 23 papers that have together received 393 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Gaze Tracking and Assistive Technology (14 papers), Visual Attention and Saliency Detection (6 papers), Advanced Text Analysis Techniques (2 papers), Data Management and Algorithms (2 papers), Usability and User Interface Design (2 papers), Retinal Imaging and Analysis (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Human-Computer Interaction (217 citations), Computer Vision and Pattern Recognition (300 citations), Geography, Planning and Development (28 citations), Signal Processing (47 citations) and Experimental and Cognitive Psychology (38 citations). Michael Raschke has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Thomas Ertl, Tanja Blascheck, Daniel Weiskopf, Michael Burch, Kuno Kurzhals, Xuemei Chen, Markus Höferlin, Gennady Andrienko, Natalia Andrienko and Michael Schrauf. Their work appears in journals such as ACM Transactions on Applied Perception, OP-Journal, Eurographics, Oldenbourg Wissenschaftsverlag eBooks and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

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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