Emanuel Zgraggen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Tim KraskaCarsten BinnigAlex GalakatosAndrew CrottyRobert C. ZeleznikZheguang ZhaoSteven M. DruckerEli Upfal
- Topics
- Data Visualization and Analytics (13 papers)Time Series Analysis and Forecasting (8 papers)Advanced Database Systems and Queries (7 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsProceedings of the VLDB EndowmentKnowledge and Information Systems
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Emanuel Zgraggen
22 papers receiving 521 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 305
- Artificial Intelligence 274
- Signal Processing 179
- Computer Networks and Communications 120
- Information Systems 93
Countries citing papers authored by Emanuel Zgraggen
This map shows the geographic impact of Emanuel Zgraggen'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 Emanuel Zgraggen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuel Zgraggen more than expected).
Fields of papers citing papers by Emanuel Zgraggen
This network shows the impact of papers produced by Emanuel Zgraggen. 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 Emanuel Zgraggen. The network helps show where Emanuel Zgraggen may publish in the future.
Co-authorship network of co-authors of Emanuel Zgraggen
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuel Zgraggen. A scholar is included among the top collaborators of Emanuel Zgraggen 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 Emanuel Zgraggen. Emanuel Zgraggen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 50 | |
| 3 | 8 | |
| 4 | Towards Quantifying Uncertainty in Data Analysis & Exploration. | 10 |
| 5 | 10 | |
| 6 | 55 | |
| 7 | 3 | |
| 8 | Toward Sustainable Insights, or Why Polygamy is Bad for You. | 17 |
| 9 | 38 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 37 | |
| 13 | Towards a Benchmark for Interactive Data Exploration. | 13 |
| 14 | 9 | |
| 15 | 23 | |
| 16 | 67 | |
| 17 | 1 | |
| 18 | 57 | |
| 19 | 36 | |
| 20 | 34 |
About Emanuel Zgraggen
Emanuel Zgraggen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 22 papers that have together received 541 indexed citations. Recurring topics across this work include Data Visualization and Analytics (13 papers), Time Series Analysis and Forecasting (8 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Signal Processing (179 citations), Computer Vision and Pattern Recognition (305 citations) and Information Systems and Management (75 citations). Emanuel Zgraggen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Tim Kraska, Carsten Binnig, Alex Galakatos, Andrew Crotty, Robert C. Zeleznik, Zheguang Zhao, Steven M. Drucker, Eli Upfal, Jean‐Daniel Fekete and Lorenzo De Stefani. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the VLDB Endowment and Knowledge and Information Systems.
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.