Andrada Tatu

823 total citations
10 papers, 596 citations indexed

About

Andrada Tatu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Andrada Tatu has authored 10 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Andrada Tatu's work include Data Visualization and Analytics (9 papers), Advanced Clustering Algorithms Research (4 papers) and Data Management and Algorithms (3 papers). Andrada Tatu is often cited by papers focused on Data Visualization and Analytics (9 papers), Advanced Clustering Algorithms Research (4 papers) and Data Management and Algorithms (3 papers). Andrada Tatu collaborates with scholars based in Germany, Belgium and Canada. Andrada Tatu's co-authors include Daniel A. Keim, Enrico Bertini, Michael Sedlmair, Tamara Munzner, Melanie Tory, Marcus Magnor, Holger Theisel, Martin Eisemann, Geórgia Albuquerque and Peter Michael Bak and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Tsinghua Science & Technology.

In The Last Decade

Andrada Tatu

10 papers receiving 574 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrada Tatu Germany 8 544 268 163 52 40 10 596
Jörn Schneidewind Germany 9 289 0.5× 111 0.4× 104 0.6× 19 0.4× 17 0.4× 16 365
Danilo Barbosa Coimbra Brazil 6 284 0.5× 137 0.5× 62 0.4× 16 0.3× 43 1.1× 13 339
Paulo Rauber Netherlands 8 274 0.5× 245 0.9× 60 0.4× 6 0.1× 20 0.5× 12 437
Stef van den Elzen Netherlands 9 441 0.8× 209 0.8× 113 0.7× 8 0.2× 12 0.3× 16 550
Stephen Ingram Canada 7 303 0.6× 130 0.5× 61 0.4× 19 0.4× 83 2.1× 12 477
Dan Maljovec United States 7 219 0.4× 117 0.4× 42 0.3× 8 0.2× 25 0.6× 11 342
Michael Balzer Germany 10 412 0.8× 80 0.3× 106 0.7× 7 0.1× 181 4.5× 16 558
Lawrence C. Rafsky United States 6 95 0.2× 232 0.9× 69 0.4× 8 0.2× 4 0.1× 6 599
Nathaniel Dean United States 10 84 0.2× 49 0.2× 34 0.2× 8 0.2× 57 1.4× 27 381
Heike Leitte Germany 13 276 0.5× 87 0.3× 43 0.3× 2 0.0× 55 1.4× 38 539

Countries citing papers authored by Andrada Tatu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrada Tatu

This figure shows the co-authorship network connecting the top 25 collaborators of Andrada Tatu. A scholar is included among the top collaborators of Andrada Tatu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrada Tatu. Andrada Tatu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hund, Michael, Ines Färber, Michael Behrisch, et al.. (2016). Visual Quality Assessment of Subspace Clusterings. KOPS (University of Konstanz). 53–62. 3 indexed citations
2.
Schaefer, Matthias, Leishi Zhang, Tobias Schreck, et al.. (2013). Improving projection-based data analysis by feature space transformations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8654. 86540H–86540H. 9 indexed citations
3.
Tatu, Andrada, Leishi Zhang, Enrico Bertini, et al.. (2012). ClustNails: Visual analysis of subspace clusters. Tsinghua Science & Technology. 17(4). 419–428. 17 indexed citations
4.
Sedlmair, Michael, Andrada Tatu, Tamara Munzner, & Melanie Tory. (2012). A Taxonomy of Visual Cluster Separation Factors. Computer Graphics Forum. 31(3pt4). 1335–1344. 112 indexed citations
5.
Tatu, Andrada, Ines Färber, Enrico Bertini, et al.. (2012). Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. 63–72. 68 indexed citations
6.
Bertini, Enrico, Andrada Tatu, & Daniel A. Keim. (2011). Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2203–2212. 178 indexed citations
7.
Tatu, Andrada, et al.. (2010). Visual quality metrics and human perception. KOPS (University of Konstanz). 49–56. 50 indexed citations
8.
Tatu, Andrada, Geórgia Albuquerque, Martin Eisemann, et al.. (2010). Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data. IEEE Transactions on Visualization and Computer Graphics. 17(5). 584–597. 49 indexed citations
9.
Lehmann, Dirk J., Geórgia Albuquerque, Martin Eisemann, et al.. (2010). Visualisierung und Analyse multidimensionaler Datensätze. Informatik-Spektrum. 33(6). 589–600. 4 indexed citations
10.
Tatu, Andrada, Geórgia Albuquerque, Martin Eisemann, et al.. (2009). Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. KOPS (University of Konstanz). 59–66. 106 indexed citations

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.

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