Martin Raubal
- Transportation top 0.2%
- Automotive Engineering top 1%
- Geography, Planning and Development top 0.1%
- Human-Computer Interaction top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Peter KieferIoannis GiannopoulosYihong YuanDominik BucherRené BuffatStefano GrassiAndrew T. DuchowskiYu Liu
- Topics
- Geographic Information Systems Studies (47 papers)Human Mobility and Location-Based Analysis (35 papers)Spatial Cognition and Navigation (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsScientific Reports
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Martin Raubal
163 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 132
- Transportation 1.1k
- Automotive Engineering 828
- Geography, Planning and Development 771
- Human-Computer Interaction 626
- Computer Vision and Pattern Recognition 544
Countries citing papers authored by Martin Raubal
This map shows the geographic impact of Martin Raubal'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 Martin Raubal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Raubal more than expected).
Fields of papers citing papers by Martin Raubal
This network shows the impact of papers produced by Martin Raubal. 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 Martin Raubal. The network helps show where Martin Raubal may publish in the future.
Co-authorship network of co-authors of Martin Raubal
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Raubal. A scholar is included among the top collaborators of Martin Raubal 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 Martin Raubal. Martin Raubal 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 76 | |
| 15 | FeaturEyeTrack: A Vector Tile-Based Eye Tracking Framework for Interactive Maps | 1 |
| 16 | Spatial Information Theory: 12th International Conference, COSIT 2015, Santa Fe, NM, USA, October 12-16, 2015, Proceedings | 3 |
| 17 | 9 | |
| 18 | 0 | |
| 19 | Specifications for Interoperability: Formalizing Image Schemata for Geographic Space | 1 |
| 20 | 4 |
About Martin Raubal
Martin Raubal is a scholar working on Geography, Planning and Development, Human-Computer Interaction and Transportation, having authored 171 papers that have together received 3.6k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (47 papers), Human Mobility and Location-Based Analysis (35 papers) and Spatial Cognition and Navigation (32 papers). The work is most often cited by research in Transportation (1.1k citations), Geography, Planning and Development (771 citations) and Human-Computer Interaction (626 citations). Martin Raubal has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Peter Kiefer, Ioannis Giannopoulos, Yihong Yuan, Dominik Bucher, René Buffat, Stefano Grassi, Andrew T. Duchowski, Yu Liu, Haosheng Huang and W. Kühn. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.
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.