Paulo Rauber

728 total citations
12 papers, 437 citations indexed

About

Paulo Rauber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Paulo Rauber has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Biophysics. Recurrent topics in Paulo Rauber's work include Data Visualization and Analytics (6 papers), Cell Image Analysis Techniques (3 papers) and Sensory Analysis and Statistical Methods (3 papers). Paulo Rauber is often cited by papers focused on Data Visualization and Analytics (6 papers), Cell Image Analysis Techniques (3 papers) and Sensory Analysis and Statistical Methods (3 papers). Paulo Rauber collaborates with scholars based in Netherlands, Brazil and Switzerland. Paulo Rauber's co-authors include Alexandru Telea, Alexandre X. Falcão, Samuel G. Fadel, Andreas Kerren, Stephen Kobourov, Rosane Minghim, Rafael M. Martins, Jürgen Schmidhuber, Pedro J. de Rezende and Andrei C. Jalba and has published in prestigious journals such as Neural Computation, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Paulo Rauber

12 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paulo Rauber Netherlands	8	274	245	60	43	29	12	437
Guillaume Alain Canada	7	215 0.8×	186 0.8×	86 1.4×	11 0.3×	15 0.5×	8	410
Fŕed́eric Precioso France	14	308 1.1×	145 0.6×	69 1.1×	19 0.4×	3 0.1×	58	549
Kamran Ghasedi Dizaji United States	6	300 1.1×	311 1.3×	50 0.8×	15 0.3×	16 0.6×	9	525
Stef van den Elzen Netherlands	9	441 1.6×	209 0.9×	113 1.9×	25 0.6×	156 5.4×	16	550
Oh-Hyun Kwon United States	6	219 0.8×	66 0.3×	32 0.5×	13 0.3×	45 1.6×	9	291
Hao Zhu China	13	271 1.0×	417 1.7×	29 0.5×	14 0.3×	6 0.2×	43	758
Weikai Yang China	8	202 0.7×	164 0.7×	27 0.5×	14 0.3×	7 0.2×	17	327
Chakravarthy Bhagvati India	12	318 1.2×	90 0.4×	23 0.4×	17 0.4×	5 0.2×	55	436
Logan Engstrom United States	10	153 0.6×	394 1.6×	73 1.2×	10 0.2×	6 0.2×	15	475
Tanuja Sarode India	16	668 2.4×	147 0.6×	187 3.1×	15 0.3×	5 0.2×	111	848

Countries citing papers authored by Paulo Rauber

Since Specialization

Citations

This map shows the geographic impact of Paulo Rauber'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 Paulo Rauber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Rauber more than expected).

Fields of papers citing papers by Paulo Rauber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paulo Rauber. 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 Paulo Rauber. The network helps show where Paulo Rauber may publish in the future.

Co-authorship network of co-authors of Paulo Rauber

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Rauber. A scholar is included among the top collaborators of Paulo Rauber 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 Paulo Rauber. Paulo Rauber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Rauber, Paulo, et al.. (2021). Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. Neural Computation. 33(6). 1498–1553. 4 indexed citations

Rauber, Paulo, et al.. (2017). Hindsight policy gradients. Queen Mary Research Online (Queen Mary University of London). 4 indexed citations

Rauber, Paulo, et al.. (2017). Graph Layouts by t‐SNE. Computer Graphics Forum. 36(3). 283–294. 55 indexed citations

Rauber, Paulo, Alexandre X. Falcão, & Alexandru Telea. (2017). Projections as visual aids for classification system design. Information Visualization. 17(4). 282–305. 43 indexed citations

Rauber, Paulo, et al.. (2016). Beyond the Third Dimension: Visualizing High-Dimensional Data with Projections. Computing in Science & Engineering. 18(5). 98–107. 6 indexed citations

Rauber, Paulo, et al.. (2016). Metric Evolution Maps: Multidimensional Attribute-driven Exploration of Software Repositories. University of Groningen research database (University of Groningen / Centre for Information Technology). 3 indexed citations

Rauber, Paulo, Alexandre X. Falcão, & Alexandru Telea. (2016). Visualizing Time-Dependent Data Using Dynamic t-SNE. Eurographics. 74 indexed citations

Rauber, Paulo, et al.. (2016). Effcient and Effective Automated Digital HairRemoval from Dermoscopy Images. Data Archiving and Networked Services (DANS). 1(1). 12 indexed citations

Rauber, Paulo, Samuel G. Fadel, Alexandre X. Falcão, & Alexandru Telea. (2016). Visualizing the Hidden Activity of Artificial Neural Networks. IEEE Transactions on Visualization and Computer Graphics. 23(1). 101–110. 186 indexed citations

10.

Rauber, Paulo, et al.. (2015). Attribute-based Visual Explanation of Multidimensional Projections. University of Groningen research database (University of Groningen / Centre for Information Technology). 31–35. 30 indexed citations

11.

Rauber, Paulo, et al.. (2015). Interactive Image Feature Selection Aided by Dimensionality Reduction. Eurographics. 67–74. 13 indexed citations

12.

Rauber, Paulo, Alexandre X. Falcão, Thiago V. Spina, & Pedro J. de Rezende. (2013). Interactive Segmentation by Image Foresting Transform on Superpixel Graphs. 131–138. 7 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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