Davide Ceneda
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image and Video Quality Assessment
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
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- Data Visualization and Analytics 17
- Video Analysis and Summarization 11
- Image and Video Quality Assessment 5
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- Multimedia Communication and Technology 4
- Co-authors
- Silvia Miksch (13 shared papers)Theresia Gschwandtner (7 shared papers)Marc Streit (4 shared papers)Christian Tominski (5 shared papers)Thorsten May (2 shared papers)Hans‐Jörg Schulz (1 shared paper)Mennatallah El‐Assady (4 shared papers)Fabian Sperrle (3 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (8 papers)Computer Graphics Forum (5 papers)Visual Informatics (2 papers)Computers & Graphics (2 papers)Lecture notes in computer science (1 paper)
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
Davide Ceneda
19 papers receiving 391 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 301
- Signal Processing 67
- Information Systems and Management 34
- Human-Computer Interaction 25
- Artificial Intelligence 111
Countries citing papers authored by Davide Ceneda
This map shows the geographic impact of Davide Ceneda'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 Davide Ceneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Ceneda more than expected).
Fields of papers citing papers by Davide Ceneda
This network shows the impact of papers produced by Davide Ceneda. 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 Davide Ceneda. The network helps show where Davide Ceneda may publish in the future.
Co-authors
The 19 scholars most cited alongside Davide Ceneda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 188 | |
| 2 | 2019 | 57 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Davide Ceneda
Davide Ceneda is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing, Computational Theory and Mathematics and Human-Computer Interaction, having authored 21 papers that have together received 397 indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Video Analysis and Summarization (11 papers), Image and Video Quality Assessment (5 papers), Multimedia Communication and Technology (4 papers), Data Management and Algorithms (3 papers), Topological and Geometric Data Analysis (2 papers), Business Process Modeling and Analysis (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (301 citations), Signal Processing (67 citations), Information Systems and Management (34 citations), Human-Computer Interaction (25 citations) and Artificial Intelligence (111 citations). Davide Ceneda has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Silvia Miksch, Theresia Gschwandtner, Marc Streit, Christian Tominski, Thorsten May, Hans‐Jörg Schulz, Mennatallah El‐Assady, Fabian Sperrle, Markus Wagner and Wolfgang Aigner. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Visual Informatics, Computers & Graphics and Lecture notes in computer science.
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.