Tim Lammarsch
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
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- Data Visualization and Analytics 19
- Video Analysis and Summarization 5
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- Time Series Analysis and Forecasting 8
- Data Management and Algorithms 6
- Co-authors
- Silvia Miksch (19 shared papers)Wolfgang Aigner (18 shared papers)Alexander Rind (14 shared papers)Michael Smuc (4 shared papers)Eva Mayr (4 shared papers)Markus Wagner (3 shared papers)Johannes Gärtner (3 shared papers)Peter Filzmoser (4 shared papers)
In The Last Decade
Tim Lammarsch
20 papers receiving 318 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 281
- Signal Processing 86
- Ecological Modeling 17
- Human-Computer Interaction 22
- Artificial Intelligence 109
Countries citing papers authored by Tim Lammarsch
This map shows the geographic impact of Tim Lammarsch'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 Tim Lammarsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Lammarsch more than expected).
Fields of papers citing papers by Tim Lammarsch
This network shows the impact of papers produced by Tim Lammarsch. 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 Tim Lammarsch. The network helps show where Tim Lammarsch may publish in the future.
Co-authors
The 15 scholars most cited alongside Tim Lammarsch, 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 | 2018 | 61 | |
| 2 | 2013 | 44 | |
| 3 | 2015 | 43 | |
| 4 | 2009 | 33 | |
| 5 | 2009 | 29 | |
| 6 | 2013 | 21 | |
| 7 | 2008 | 16 | |
| 8 | 2015 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2008 | 10 | |
| 12 | 2011 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2012 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2010 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2010 | 1 |
About Tim Lammarsch
Tim Lammarsch is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Artificial Intelligence and Ecological Modeling, having authored 20 papers that have together received 334 indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Time Series Analysis and Forecasting (8 papers), Multimedia Communication and Technology (6 papers), Data Management and Algorithms (6 papers), Video Analysis and Summarization (5 papers), Species Distribution and Climate Change (2 papers), Geographic Information Systems Studies (2 papers) and Data Analysis with R (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Signal Processing (86 citations), Ecological Modeling (17 citations), Human-Computer Interaction (22 citations) and Artificial Intelligence (109 citations). Tim Lammarsch has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Silvia Miksch, Wolfgang Aigner, Alexander Rind, Michael Smuc, Eva Mayr, Markus Wagner, Johannes Gärtner, Peter Filzmoser, Georg Fuchs and Gennady Andrienko. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, Computers & Graphics and Information Visualization.
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.