Michael Raschke

736 citations
32 papers · 569 · h-index 13

Impact in

Papers in

Michael Raschke

30 papers receiving 537 citations

Peers

Michael Raschke
Comparison fields: 5 of 68
  • Human-Computer Interaction 308
  • Computer Vision and Pattern Recognition 416
  • Geography, Planning and Development 30
  • Signal Processing 54
  • Experimental and Cognitive Psychology 49
Replace Dereck Toker with:
Dereck Toker Canada
Beth Yost United States
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Lance Good United States
Samuel Huron France
Sébastien Lallé Canada
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Sven Gehring Germany
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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 25 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014171
2 201360
3 201348
4 201237
5 201535
6 201033
7 201632
8 201423
9 201322
10 201417
11 201416
12 201413
13 201813
14
Interactive Auditory Display to Support Situational Awareness in Video Surveillance
20119
15 20156
16 20145
17 20105
18 20124
19
Exploring Spatio-Temporal Data Modeled as Dynamic Weighted Relations
20133
20
Interaktive verständnisorientierte Optimierung von semantisch-annotierten Visualisierungen
20112

About Michael Raschke

Michael Raschke is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Cognitive Neuroscience and Signal Processing, having authored 32 papers that have together received 569 indexed citations. Recurring topics across this work include Data Visualization and Analytics (21 papers), Gaze Tracking and Assistive Technology (15 papers), Visual Attention and Saliency Detection (6 papers), Data Management and Algorithms (3 papers), Video Analysis and Summarization (3 papers), Retinal Imaging and Analysis (2 papers), Human Motion and Animation (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (308 citations), Computer Vision and Pattern Recognition (416 citations), Geography, Planning and Development (30 citations), Signal Processing (54 citations) and Experimental and Cognitive Psychology (49 citations). Michael Raschke has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Michael Burch, Tanja Blascheck, Daniel Weiskopf, Thomas Ertl, Kuno Kurzhals, Xuemei Chen, Markus Höferlin, Gennady Andrienko, Natalia Andrienko and Michael Schrauf. Their work appears in journals such as International Journal of Arts and Technology, ACM Transactions on Applied Perception, Lecture notes in computer science, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering and OP-Journal.

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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