Andrada Tatu
Impact in
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- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
- Image and Video Quality Assessment
- Video Analysis and Summarization
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 9
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- Data Management and Algorithms 3
- Time Series Analysis and Forecasting 2
- Co-authors
- Daniel A. Keim (9 shared papers)Enrico Bertini (4 shared papers)Melanie Tory (1 shared paper)Tamara Munzner (1 shared paper)Michael Sedlmair (1 shared paper)Holger Theisel (3 shared papers)Martin Eisemann (3 shared papers)Marcus Magnor (3 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Tsinghua Science & Technology (1 paper)Computer Graphics Forum (1 paper)Informatik-Spektrum (1 paper)KOPS (University of Konstanz) (3 papers)
In The Last Decade
Andrada Tatu
10 papers receiving 615 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 581
- Signal Processing 172
- Computer Graphics and Computer-Aided Design 43
- Artificial Intelligence 279
- Biophysics 30
Countries citing papers authored by Andrada Tatu
This map shows the geographic impact of Andrada Tatu'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 Andrada Tatu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrada Tatu more than expected).
Fields of papers citing papers by Andrada Tatu
This network shows the impact of papers produced by Andrada Tatu. 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 Andrada Tatu. The network helps show where Andrada Tatu may publish in the future.
Co-authors
The 24 scholars most cited alongside Andrada Tatu, 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 | 2011 | 195 | |
| 2 | 2012 | 119 | |
| 3 | 2009 | 113 | |
| 4 | 2012 | 71 | |
| 5 | 2010 | 55 | |
| 6 | 2010 | 50 | |
| 7 | 2012 | 20 | |
| 8 | 2013 | 10 | |
| 9 | 2010 | 6 | |
| 10 | Visual Quality Assessment of Subspace Clusterings | 2016 | 3 |
About Andrada Tatu
Andrada Tatu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Food Science and Computer Networks and Communications, having authored 10 papers that have together received 642 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Advanced Clustering Algorithms Research (4 papers), Data Management and Algorithms (3 papers), Sensory Analysis and Statistical Methods (2 papers), Time Series Analysis and Forecasting (2 papers), Color perception and design (1 paper), Remote Sensing in Agriculture (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (581 citations), Signal Processing (172 citations), Computer Graphics and Computer-Aided Design (43 citations), Artificial Intelligence (279 citations) and Biophysics (30 citations). Andrada Tatu has collaborated with scholars based in Germany, Canada and Belgium. Frequent co-authors include Daniel A. Keim, Enrico Bertini, Melanie Tory, Tamara Munzner, Michael Sedlmair, Holger Theisel, Martin Eisemann, Marcus Magnor, Geórgia Albuquerque and Peter Michael Bak. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Tsinghua Science & Technology, Computer Graphics Forum, Informatik-Spektrum and KOPS (University of Konstanz).
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.