Dominik Moritz
Impact in
-
- Data Visualization and Analytics
- Video Analysis and Summarization
-
- Scientific Computing and Data Management
Papers in
-
- Data Visualization and Analytics 32
- Video Analysis and Summarization 7
-
- Scientific Computing and Data Management 8
- Co-authors
- Jeffrey HeerKanit WongsuphasawatBill HoweArvind SatyanarayanJock D. MackinlayAnushka AnandChenglong WangGreg L. Nelson
- Journals
- IEEE Transactions on Visualization and Computer Graphics (12 papers)Computer Graphics Forum (4 papers)Proceedings of the VLDB Endowment (1 paper)Genome biology (1 paper)Discrete Mathematics Algorithms and Applications (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Dominik Moritz
47 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 1.5k
- Information Systems and Management 290
- Signal Processing 383
- Human-Computer Interaction 137
- Artificial Intelligence 729
Countries citing papers authored by Dominik Moritz
This map shows the geographic impact of Dominik Moritz'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 Dominik Moritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Moritz more than expected).
Fields of papers citing papers by Dominik Moritz
This network shows the impact of papers produced by Dominik Moritz. 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 Dominik Moritz. The network helps show where Dominik Moritz may publish in the future.
Co-authors
The 25 scholars most cited alongside Dominik Moritz, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 32 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 19 | |
| 15 | 2019 | 28 | |
| 16 | 2018 | 126 | |
| 17 | 2018 | 15 | |
| 18 | The Myria Big Data Management and Analytics System and Cloud Services. | 2017 | 31 |
| 19 | 2016 | 39 | |
| 20 | Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations Hit paper breakdown → | 2015 | 322 |
About Dominik Moritz
Dominik Moritz is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Signal Processing, Human Factors and Ergonomics and Computer Networks and Communications, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (32 papers), Advanced Database Systems and Queries (8 papers), Scientific Computing and Data Management (8 papers), Video Analysis and Summarization (7 papers), Data Management and Algorithms (6 papers), Advanced Text Analysis Techniques (5 papers), Data Analysis with R (5 papers) and Multimedia Communication and Technology (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Information Systems and Management (290 citations), Signal Processing (383 citations), Human-Computer Interaction (137 citations) and Artificial Intelligence (729 citations). Dominik Moritz has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jeffrey Heer, Kanit Wongsuphasawat, Bill Howe, Arvind Satyanarayan, Jock D. Mackinlay, Anushka Anand, Chenglong Wang, Greg L. Nelson, Adam M. Smith and Zening Qu. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Proceedings of the VLDB Endowment, Genome biology and Discrete Mathematics Algorithms and Applications.
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.