2026 Martin Raubal: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	50	5673	5513	118	118	249	8739

Overview

Martin Raubal is affiliated with ETH Zurich in Switzerland and has a significant research presence in the fields of social sciences, engineering, and computer science. Their scholarly contributions cover a variety of interdisciplinary topics, primarily focused on transportation and mobility.

The main fields of study encompassed in their work include:

Social Sciences
Engineering
Computer Science

The scientist's research delves into several subfields, with a concentration on:

Transportation
Building and Construction
Artificial Intelligence
Automotive Engineering
Computer Vision and Pattern Recognition

Key topics addressed across their publications include:

Human Mobility and Location-Based Analysis
Traffic Prediction and Management Techniques
Urban Transport and Accessibility
Transportation Planning and Optimization
Geographic Information Systems Studies
Anomaly Detection Techniques and Applications
Spatial Cognition and Navigation

Martin Raubal has published a number of articles between 2021 and 2023, including:

"Applications of deep learning in congestion detection, prediction and alleviation: A survey" (2021) in Transportation Research Part C Emerging Technologies
"Using rooftop photovoltaic generation to cover individual electric vehicle demand-A detailed case study" (2022) in Renewable and Sustainable Energy Reviews
"Trackintel: An open-source Python library for human mobility analysis" (2023) in Computers Environment and Urban Systems
"Incorporating multimodal context information into traffic speed forecasting through graph deep learning" (2023) in International Journal of Geographical Information Systems
"Context-aware multi-head self-attentional neural network model for next location prediction" (2023) in Transportation Research Part C Emerging Technologies

The scholar regularly collaborates with peers such as:

Peter Kiefer
Henry Martin
Nina Wiedemann
Dominik Bucher
Ye Hong

Frequent publication venues for their work include:

Repository for Publications and Research Data (ETH Zurich)
arXiv (Cornell University)
SSRN Electronic Journal
International Journal of Geographical Information Systems
AGILE GIScience Series

Best Publications

Enriching Wayfinding Instructions with Local Landmarks

Martin Raubal;Stephan Winter

772
Citations
Location based services: ongoing evolution and research agenda

Haosheng Huang;Georg Gartner;Jukka Matthias Krisp;Martin Raubal

338
Citations
Correlating mobile phone usage and travel behavior – A case study of Harbin, China

Yihong Yuan;Martin Raubal;Martin Raubal;Yu Liu

326
Citations
Cognitive and linguistic aspects of geographic space

Martin Raubal;David M. Mark;Andrew U. Frank

272
Citations
Eye tracking for spatial research: Cognition, computation, challenges

Peter Kiefer;Ioannis Giannopoulos;Martin Raubal;Andrew T. Duchowski

243
Citations
The Index of Pupillary Activity: Measuring Cognitive Load vis-à-vis Task Difficulty with Pupil Oscillation

Andrew T. Duchowski;Krzysztof Krejtz;Izabela Krejtz;Cezary Biele

236
Citations
Selection of Salient Features for Route Directions

Clemens Nothegger;Stephan Winter;Martin Raubal

225
Citations
Comparing the Complexity of Wayfinding Tasks in Built Environments

M Raubal;M J Egenhofer

225
Citations
A Formal Model of the Process of Wayfinding in Built Environments

Martin Raubal;Michael F. Worboys

211
Citations
User‐centred time geography for location‐based services

Martin Raubal;Harvey J. Miller;Scott Bridwell

196
Citations
Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn

R. Ahas;A. Aasa;Y. Yuan;M. Raubal

186
Citations
An Affordance-Based Model of Place in GIS

Troy Jordan;Martin Raubal;Bryce Gartrell;Max J. Egenhofer

180
Citations
The semantics of similarity in geographic information retrieval

Krzysztof Janowicz;Martin Raubal;Werner Kuhn

180
Citations
Where Am I? Investigating Map Matching During Self‐Localization With Mobile Eye Tracking in an Urban Environment

Peter Kiefer;Ioannis Giannopoulos;Martin Raubal

170
Citations
Ontology and epistemology for agent-based wayfinding simulation

Martin Raubal

152
Citations
Extracting Dynamic Urban Mobility Patterns from Mobile Phone Data

Yihong Yuan;Yihong Yuan;Martin Raubal

143
Citations
Map navigation with mobile devices: virtual versus physical movement with and without visual context

Michael Rohs;Johannes Schöning;Martin Raubal;Georg Essl

141
Citations
Structuring Space with Image Schemata: Wayfinding in Airports as a Case Study

Martin Raubal;Martin Raubal;Max J. Egenhofer;Max J. Egenhofer;Dieter Pfoser;Dieter Pfoser;Nectaria Tryfona;Nectaria Tryfona

119
Citations
Measuring similarity of mobile phone user trajectories– a Spatio-temporal Edit Distance method

Yihong Yuan;Martin Raubal

111
Citations
Applications of deep learning in congestion detection, prediction and alleviation: A survey

Nishant Kumar;Martin Raubal

109
Citations
Semantic rules for context-aware geographical information retrieval

Carsten Keßler;Martin Raubal;Christoph Wosniok

99
Citations

Frequent Co-Authors

Andrew U. Frank TU Wien

Werner Kuhn University of California, Santa Barbara

Stephan Winter University of Melbourne

Krzysztof Janowicz University of California, Santa Barbara

Antonio Krüger German Research Centre for Artificial Intelligence

Johannes Schöning University of St. Gallen

Max J. Egenhofer University of Maine

Andrew T. Duchowski Clemson University

Harvey J. Miller The Ohio State University

Michael F. Goodchild University of California, Santa Barbara

External Links

Personal website of Martin Raubal Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science doesn’t just mean traditional on-campus degrees—many students are now considering online and hybrid pathways. For those looking for an affordable next step in analytics and AI, consider a cheapest data science masters in usa to advance your expertise without the heavy financial burden.

If you’re interested in combining computing with hardware, the top online electrical engineering schools offer flexible programs that open doors in automation, robotics, and embedded systems.

Looking for faster ways to boost your employability? Check out the certifications for jobs that can be completed quickly and often lead to well-paying, in-demand tech roles.

Time is valuable—many prospective professionals are choosing a shortest online masters degree to fast-track their careers or pivot into new specialization areas.

Whether you’re interested in a new field, an advanced degree, or a practical certification, these options make computer science more flexible and accessible than ever.