Simon Urbanek
- Transportation top 1%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Global and Planetary Change
- Co-authors
- Chris VolinskyRichard A. BeckerRamón CáceresAlexander VarshavskyJi Meng LohMartin TheusJames RowlandMargaret Martonosi
- Topics
- Data Analysis with R (7 papers)Cardiovascular and Diving-Related Complications (5 papers)Scientific Computing and Data Management (5 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Simon Urbanek
26 papers receiving 720 citations
Peers
Comparison fields: 5 of 109
- Transportation 416
- Computer Networks and Communications 108
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 104
- Global and Planetary Change 99
Countries citing papers authored by Simon Urbanek
This map shows the geographic impact of Simon Urbanek'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 Simon Urbanek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Urbanek more than expected).
Fields of papers citing papers by Simon Urbanek
This network shows the impact of papers produced by Simon Urbanek. 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 Simon Urbanek. The network helps show where Simon Urbanek may publish in the future.
Co-authorship network of co-authors of Simon Urbanek
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Urbanek. A scholar is included among the top collaborators of Simon Urbanek 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 Simon Urbanek. Simon Urbanek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 204 | |
| 6 | FastRWeb: Fast Interactive Web Framework for Data Mining Using R | 0 |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 34 | |
| 11 | 205 | |
| 12 | 8 | |
| 13 | The New R Help System | 1 |
| 14 | Interactive Graphics for Data Analysis: Principles and Examples (Computer Science and Data Analysis) | 21 |
| 15 | Interactive Graphics for Data Analysis : Principles and Examples | 45 |
| 16 | 6 | |
| 17 | 33 | |
| 18 | 1 | |
| 19 | The Geometry and Kinematics of a Toothed Gear of Variable Motion | 7 |
| 20 | Rserve A fast way to provide R functionality to applications | 55 |
About Simon Urbanek
Simon Urbanek is a scholar working on Information Systems and Management, Transportation and Signal Processing, having authored 28 papers that have together received 776 indexed citations. Recurring topics across this work include Data Analysis with R (7 papers), Cardiovascular and Diving-Related Complications (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Transportation (416 citations), Signal Processing (67 citations) and Computer Science Applications (29 citations). Simon Urbanek has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Chris Volinsky, Richard A. Becker, Ramón Cáceres, Alexander Varshavsky, Ji Meng Loh, Martin Theus, James Rowland, Margaret Martonosi, Sibren Isaacman and David Applegate. Their work appears in journals such as Communications of the ACM, Journal of Statistical Software and Journal of Neuroscience Methods.
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.