Mike Sips
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- Data Visualization and Analytics 26
- Video Analysis and Summarization 3
- Signal Processing top 5%
- Data Management and Algorithms 11
- Time Series Analysis and Forecasting 6
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- Geographic Information Systems Studies 5
- Ecological Modeling top 10%
- Species Distribution and Climate Change 4
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- Data Analysis with R 4
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- Scientific Computing and Data Management 4
- Co-authors
- Daniel A. KeimChristian PanseJohn LewisBoris NeubertPat HanrahanJörn SchneidewindStephen C. NorthDoris Dransch
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer Graphics (5 papers)Information Visualization (2 papers)Computer Graphics Forum (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Mike Sips
37 papers receiving 657 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 490
- Signal Processing 198
- Computer Graphics and Computer-Aided Design 48
- Geography, Planning and Development 72
- Ecological Modeling 38
Countries citing papers authored by Mike Sips
This map shows the geographic impact of Mike Sips'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 Mike Sips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Sips more than expected).
Fields of papers citing papers by Mike Sips
This network shows the impact of papers produced by Mike Sips. 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 Mike Sips. The network helps show where Mike Sips may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mike Sips, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2017 | 8 | |
| 5 | Geomultisens – a common automatic processing and analysis system for multi-sensor satellite data | 2016 | 1 |
| 6 | Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware | 2015 | 2 |
| 7 | Analysing the degree of replication of palaeoclimate records | 2015 | 1 |
| 8 | 2015 | 20 | |
| 9 | 2014 | 22 | |
| 10 | 2012 | 37 | |
| 11 | 2012 | 27 | |
| 12 | 2007 | 4 | |
| 13 | 2007 | 9 | |
| 14 | 2006 | 24 | |
| 15 | FP-Viz: Visual Frequent Pattern Mining | 2005 | 11 |
| 16 | 2004 | 9 | |
| 17 | Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps | 2004 | 4 |
| 18 | 2004 | 47 | |
| 19 | Finding Spatial Patterns in Network Data | 2004 | 1 |
| 20 | 2003 | 10 |
About Mike Sips
Mike Sips is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 38 papers that have together received 690 indexed citations. Recurring topics across this work include Data Visualization and Analytics (26 papers), Data Management and Algorithms (11 papers), Time Series Analysis and Forecasting (6 papers), Geographic Information Systems Studies (5 papers), Data Analysis with R (4 papers), Species Distribution and Climate Change (4 papers), Scientific Computing and Data Management (4 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (490 citations), Signal Processing (198 citations) and Computer Graphics and Computer-Aided Design (48 citations). Mike Sips has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Daniel A. Keim, Christian Panse, John Lewis, Boris Neubert, Pat Hanrahan, Jörn Schneidewind, Stephen C. North, Doris Dransch, Norbert Marwan and Hans-Peter Seidel. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization, Computer Graphics Forum, Computers & Geosciences and Cartography and Geographic Information Science.
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.