Rita Borgo
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- Data Visualization and Analytics 27
- Video Analysis and Summarization 7
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- Computer Graphics and Visualization Techniques 5
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Data Management and Algorithms 4
- Time Series Analysis and Forecasting 4
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- Explainable Artificial Intelligence (XAI) 5
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- Ethics and Social Impacts of AI 4
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- Visual and Cognitive Learning Processes 3
- Co-authors
- Min ChenRobert S. LarameeDavid ChungMark W. JonesJohannes KehrerMatthew WardEamonn MaguireHelwig Hauser
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- IEEE Transactions on Visualization and Computer Graphics (12 papers)Computer Graphics Forum (9 papers)Computers & Graphics (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Rita Borgo
42 papers receiving 852 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 612
- Computer Graphics and Computer-Aided Design 47
- Human-Computer Interaction 74
- Computational Mathematics 6
- Signal Processing 98
Countries citing papers authored by Rita Borgo
This map shows the geographic impact of Rita Borgo'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 Rita Borgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Borgo more than expected).
Fields of papers citing papers by Rita Borgo
This network shows the impact of papers produced by Rita Borgo. 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 Rita Borgo. The network helps show where Rita Borgo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rita Borgo, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 27 | |
| 16 | 2018 | 86 | |
| 17 | 2012 | 8 | |
| 18 | 2012 | 97 | |
| 19 | 2010 | 8 | |
| 20 | 2010 | 17 |
About Rita Borgo
Rita Borgo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Health Informatics and General Social Sciences, having authored 52 papers that have together received 884 indexed citations. Recurring topics across this work include Data Visualization and Analytics (27 papers), Video Analysis and Summarization (7 papers), Computer Graphics and Visualization Techniques (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Ethics and Social Impacts of AI (4 papers), Data Management and Algorithms (4 papers), Time Series Analysis and Forecasting (4 papers) and Visual and Cognitive Learning Processes (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (612 citations), Computer Graphics and Computer-Aided Design (47 citations), Human-Computer Interaction (74 citations), Computational Mathematics (6 citations) and Signal Processing (98 citations). Rita Borgo has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Min Chen, Robert S. Laramee, David Chung, Mark W. Jones, Johannes Kehrer, Matthew Ward, Eamonn Maguire, Helwig Hauser, P.W. Grant and Alfie Abdul‐Rahman. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computers & Graphics, IEEE Computer Graphics and Applications and Transportation Research Part D Transport and Environment.
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.