Michael Burch
- Human-Computer Interaction top 0.5%
- Gaze Tracking and Assistive Technology 39
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- Data Visualization and Analytics 137
- Video Analysis and Summarization 24
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- Complex Network Analysis Techniques 24
- Signal Processing top 2%
- Data Management and Algorithms 34
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- Geographic Information Systems Studies 16
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- Advanced Text Analysis Techniques 23
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- Multimedia Communication and Technology 19
- Co-authors
- Daniel WeiskopfStephan DiehlFabian BeckKuno KurzhalsTanja BlascheckThomas ErtlMichael RaschkeMarcel Hlawatsch
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionStatistical and Nonlinear Physics
- Journals
- Computer Graphics Forum (8 papers)IEEE Transactions on Visualization and Computer Graphics (6 papers)Information Visualization (3 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Michael Burch
143 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Human-Computer Interaction 661
- Computer Vision and Pattern Recognition 2.0k
- Statistical and Nonlinear Physics 520
- Signal Processing 415
- Geography, Planning and Development 193
Countries citing papers authored by Michael Burch
This map shows the geographic impact of Michael Burch'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 Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Burch more than expected).
Fields of papers citing papers by Michael Burch
This network shows the impact of papers produced by Michael Burch. 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 Burch. The network helps show where Michael Burch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Burch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 4 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 11 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 10 | |
| 10 | VISUALIZING DYNAMIC QUANTITATIVE DATA IN HIERARCHIES - TimeEdgeTrees: Attaching Dynamic Weights to Tree Edges | 2017 | 0 |
| 11 | Flip-Book Visualization of Dynamic Graphs. | 2015 | 1 |
| 12 | 2015 | 2 | |
| 13 | 2015 | 4 | |
| 14 | 2013 | 26 | |
| 15 | Radial Edge Splatting for Visualizing Dynamic Directed Graphs. | 2012 | 3 |
| 16 | 2012 | 147 | |
| 17 | 2011 | 121 | |
| 18 | 2011 | 98 | |
| 19 | 2005 | 10 | |
| 20 | 2005 | 36 |
About Michael Burch
Michael Burch is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing, Geography, Planning and Development and Computer Graphics and Computer-Aided Design, having authored 158 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data Visualization and Analytics (137 papers), Gaze Tracking and Assistive Technology (39 papers), Data Management and Algorithms (34 papers), Complex Network Analysis Techniques (24 papers), Video Analysis and Summarization (24 papers), Advanced Text Analysis Techniques (23 papers), Multimedia Communication and Technology (19 papers) and Geographic Information Systems Studies (16 papers). The work is most often cited by research in Human-Computer Interaction (661 citations), Computer Vision and Pattern Recognition (2.0k citations), Statistical and Nonlinear Physics (520 citations), Signal Processing (415 citations) and Geography, Planning and Development (193 citations). Michael Burch has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Daniel Weiskopf, Stephan Diehl, Fabian Beck, Kuno Kurzhals, Tanja Blascheck, Thomas Ertl, Michael Raschke, Marcel Hlawatsch, Gennady Andrienko and Natalia Andrienko. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Information Visualization, IEEE Access and Knowledge-Based Systems.
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.