Michael Burch
Impact in
-
- Data Visualization and Analytics
- Visual Attention and Saliency Detection
- Human-Computer Interaction top 0.5%
- Gaze Tracking and Assistive Technology
Papers in
-
- Data Visualization and Analytics 168
-
- Gaze Tracking and Assistive Technology 30
- Co-authors
- Daniel Weiskopf (92 shared papers)Stephan Diehl (17 shared papers)Fabian Beck (25 shared papers)Kuno Kurzhals (18 shared papers)Tanja Blascheck (12 shared papers)Michael Raschke (13 shared papers)Thomas Ertl (8 shared papers)Gennady Andrienko (3 shared papers)
- Journals
- Computer Graphics Forum (8 papers)IEEE Transactions on Visualization and Computer Graphics (7 papers)Information Visualization (3 papers)Lecture notes in computer science (11 papers)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Michael Burch
179 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 2.5k
- Human-Computer Interaction 723
- Computer Science Applications 77
- Computer Graphics and Computer-Aided Design 48
- Information Systems 243
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-authors
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
Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 256 | |
| 2 | 2017 | 218 | |
| 3 | 2014 | 176 | |
| 4 | 2012 | 170 | |
| 5 | 2014 | 166 | |
| 6 | 2011 | 144 | |
| 7 | 2011 | 116 | |
| 8 | 2016 | 79 | |
| 9 | 2015 | 78 | |
| 10 | 2008 | 70 | |
| 11 | 2008 | 67 | |
| 12 | 2009 | 67 | |
| 13 | 2014 | 67 | |
| 14 | 2013 | 66 | |
| 15 | 2022 | 64 | |
| 16 | 2015 | 63 | |
| 17 | 2010 | 57 | |
| 18 | 2013 | 56 | |
| 19 | 2009 | 50 | |
| 20 | 2013 | 50 |
About Michael Burch
Michael Burch is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Information Systems and Computer Science Applications, having authored 195 papers that have together received 3.6k indexed citations. Recurring topics across this work include Data Visualization and Analytics (168 papers), Gaze Tracking and Assistive Technology (30 papers), Software Engineering Research (10 papers), Computer Graphics and Visualization Techniques (8 papers), Art, Technology, and Culture (4 papers), Problem and Project Based Learning (4 papers), Teaching and Learning Programming (4 papers) and Spatial Cognition and Navigation (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Human-Computer Interaction (723 citations), Computer Science Applications (77 citations), Computer Graphics and Computer-Aided Design (48 citations) and Information Systems (243 citations). Michael Burch has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Daniel Weiskopf, Stephan Diehl, Fabian Beck, Kuno Kurzhals, Tanja Blascheck, Michael Raschke, Thomas Ertl, Gennady Andrienko, Natalia V. Andrienko and Corinna Vehlow. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Information Visualization, Lecture notes in computer science and IEEE Computer Graphics and Applications.
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.