| Eva: Visual analytics to identify fraudulent events RA Leite, T Gschwandtner, S Miksch, S Kriglstein, M Pohl, E Gstrein, ... IEEE transactions on visualization and computer graphics 24 (1), 330-339, 2017 | 62 | 2017 |
| Visual analytics for event detection: Focusing on fraud RA Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner Visual Informatics 2 (4), 198-212, 2018 | 43 | 2018 |
| Visual soccer match analysis using spatiotemporal positions of players V Machado, R Leite, F Moura, S Cunha, F Sadlo, JLD Comba Computers & Graphics 68, 84-95, 2017 | 26 | 2017 |
| Neva: Visual analytics to identify fraudulent networks R A. Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner Computer Graphics Forum 39 (6), 344-359, 2020 | 15 | 2020 |
| COVIs: supporting temporal visual analysis of Covid-19 events usable in data-driven journalism RA Leite, V Schetinger, D Ceneda, B Henz, S Miksch 2020 IEEE Visualization Conference (VIS), 56-60, 2020 | 13 | 2020 |
| Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance‐Based Abstraction M Bögl, P Filzmoser, T Gschwandtner, T Lammarsch, RA Leite, S Miksch, ... Computer Graphics Forum 36 (3), 227-238, 2017 | 12 | 2017 |
| Visual Analytics for Fraud Detection: Focusing on Profile Analysis. RA Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner EuroVis (Posters), 45-47, 2016 | 10 | 2016 |
| Visual analytics for fraud detection and monitoring RA Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner 2015 IEEE conference on visual analytics science and technology (VAST), 201-202, 2015 | 10 | 2015 |
| Phenovis–a tool for visual phenological analysis of digital camera images using chronological percentage maps RA Leite, LM Schnorr, J Almeida, B Alberton, LPC Morellato, RS Torres, ... Information Sciences 372, 181-195, 2016 | 9 | 2016 |
| Sabrina: Modeling and visualization of financial data over time with incremental domain knowledge A Arleo, C Tsigkanos, C Jia, RA Leite, I Murturi, M Klaffenböck, S Dustdar, ... 2019 IEEE Visualization Conference (VIS), 51-55, 2019 | 8 | 2019 |
| Hermes: guidance-enriched visual analytics for economic network exploration RA Leite, A Arleo, J Sorger, T Gschwandtner, S Miksch Visual Informatics 4 (4), 11-22, 2020 | 7 | 2020 |
| Many Views Are Not Enough: Designing for Synoptic Insights in Cultural Collections. F Windhager, S Salisu, RA Leite, VA Filipov, S Miksch, G Schreder, ... IEEE computer graphics and applications 40 (3), 58-71, 2020 | 7 | 2020 |
| Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections. S Salisu, E Mayr, VA Filipov, RA Leite, S Miksch, F Windhager EuroVis (Posters), 45-47, 2019 | 7 | 2019 |
| Visualizing biographical trajectories by historical artifacts: a case study based on the photography collection of charles w. cushman E Mayr, S Salisu, VA Filipov, G Schreder, RA Leite, S Miksch, ... Proceedings of the BD, 2019 | 5 | 2019 |
| VisMiFlow: Visual analytics to support citizen migration understanding over time and space A Scheidl, RA Leite, S Miksch EuroVis, 2021 | 4 | 2021 |
| Network Analysis for Financial Fraud Detection. RA Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner EuroVis (Posters), 21-23, 2018 | 4 | 2018 |
| Visual Exploration of Financial Data with Incremental Domain Knowledge A Arleo, C Tsigkanos, RA Leite, S Dustdar, S Miksch, J Sorger Computer Graphics Forum 42 (1), 101-116, 2023 | | 2023 |
| Loss-contribution-based in situ visualization for neural network training TY Lee EuroVis 2021-Short Papers, 97-101, 2021 | | 2021 |
| Shapes of Time: Visualizing Set Changes Over Time S Salisu, E Mayr, VA Filipov, F Windhager, RA Leite, S Miksch | | 2019 |
| Article published in the Journal Pattern Recognition Letters RA LEITE, L SCHNORR, T ALMEIDA JR, A RS unesp, 220, 2018 | | 2018 |
