Thorsten May
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- Data Visualization and Analytics 23
- Video Analysis and Summarization 6
- Signal Processing top 5%
- Time Series Analysis and Forecasting 5
- Data Management and Algorithms 3
- Public Administration top 10%
- Gender Studies top 10%
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- Sensory Analysis and Statistical Methods 3
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- Advanced Text Analysis Techniques 3
- Advanced Clustering Algorithms Research 3
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- Computer Graphics and Visualization Techniques 3
- Co-authors
- Ian H. LangfordJörn KohlhammerJürgen BernardTheresia GschwandtnerSilvia MikschMarc StreitDavide CenedaChristian Tominski
- Journals
- Computer Graphics Forum (5 papers)IEEE Transactions on Visualization and Computer Graphics (5 papers)Computers & Graphics (1 paper)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Thorsten May
31 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 462
- Signal Processing 172
- Public Administration 46
- Sociology and Political Science 390
- Gender Studies 76
Countries citing papers authored by Thorsten May
This map shows the geographic impact of Thorsten May'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 Thorsten May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorsten May more than expected).
Fields of papers citing papers by Thorsten May
This network shows the impact of papers produced by Thorsten May. 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 Thorsten May. The network helps show where Thorsten May may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thorsten May, 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 | 2022 | 1 | |
| 2 | 2019 | 1 | |
| 3 | 2019 | 3 | |
| 4 | 2019 | 5 | |
| 5 | 2017 | 9 | |
| 6 | Methods and a research agenda for the evaluation of event sequence visualization techniques | 2016 | 4 |
| 7 | 2015 | 29 | |
| 8 | 2014 | 3 | |
| 9 | 2013 | 2 | |
| 10 | 2013 | 7 | |
| 11 | TimeSeriesPaths : Projection-Based Explorative Analysis of Multivariate Time Series Data | 2012 | 29 |
| 12 | 2011 | 2 | |
| 13 | 2010 | 1 | |
| 14 | 2008 | 7 | |
| 15 | 2007 | 2 | |
| 16 | 2006 | 1 | |
| 17 | Rendering large (volume) datasets: a new parallel visualization system | 2003 | 0 |
| 18 | Fast scalar- & vectorfield visualization using a new progressive grid class. | 2003 | 0 |
| 19 | Parallel Real-Time Fluid Simulation and Animation with Fractal Optical Refinements | 2002 | 1 |
| 20 | Social Research: Issues, Methods and Process.breakdown → | 1994 | 957 |
About Thorsten May
Thorsten May is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Artificial Intelligence and Information Systems and Management, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (23 papers), Video Analysis and Summarization (6 papers), Time Series Analysis and Forecasting (5 papers), Sensory Analysis and Statistical Methods (3 papers), Advanced Text Analysis Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers), Data Management and Algorithms (3 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (462 citations), Signal Processing (172 citations), Public Administration (46 citations), Sociology and Political Science (390 citations) and Gender Studies (76 citations). Thorsten May has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Ian H. Langford, Jörn Kohlhammer, Jürgen Bernard, Theresia Gschwandtner, Silvia Miksch, Marc Streit, Davide Ceneda, Christian Tominski, Hans‐Jörg Schulz and Tobias Schreck. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, IEEE Computer Graphics and Applications and White Rose Research Online (University of Leeds, The University of Sheffield, University of York).
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.