Science Explorer Back to mapMap
Discussion
Researcher · ETH Zurich · Switzerland

Martin Raubal

Martin Raubal publishes mostly in Transportation, Geography, Planning and Development and Human-Computer Interaction, on topics such as Geographic Information Systems Studies, Human Mobility and Location-Based Analysis and Gaze Tracking and Assistive Technology.

ORCID 0000-0001-5951-6835 OpenAlex
World rank
#42,646
of 7,710,434 ranked researchers
Rank in Switzerland
#892
of 80,918
Works
297
Citations
7.6k
Citations per work
25.6
h-index
47
i10-index 134Top 0.6% in Transportation
Martin Raubal

What does Martin Raubal research?

Martin Raubal's work is mostly in Social Sciences (24%), Computer Science (22%), Engineering (8%).

Everything else: 135 works · 45.3% of their workPhysical Sciences: 90 works · 30.4% of their workComputer Science: 66 works · 22.1% of their workHuman-Computer Interaction: 29 works · 9.6% of their workArtificial Intelligence: 19 works · 6.5% of their workSignal Processing: 18 works · 6.0% of their workEngineering: 25 works · 8.3% of their workAutomotive Engineering: 25 works · 8.3% of their workSocial Sciences: 72 works · 24.3% of their workSocial Sciences: 72 works · 24.3% of their workTransportation: 42 works · 14.0% of their workGeography, Planning and Development: 31 works · 10.3% of their workTHEIR WORKMartin Raubal297works
Physical Sciences30%Social Sciences24%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else13545.3%
    1. Computer Science6622.1%
    2. Engineering258.3%
    1. Social Sciences7224.3%
  1. 1Transportation14% of their works
  2. 2Geography, Planning and Development10% of their works
  3. 3Human-Computer Interaction10% of their works
  4. 4Automotive Engineering8% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Signal Processing6% of their works

Research topics

Which keywords describe Martin Raubal's research?

The keywords of their largest research topics: Geospatial Crowdsourcing, Volunteered Geographic Information, Travel Behavior, GPS Data, Human Mobility, Eye Tracking, Gaze Estimation and Spatial Ability.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Geospatial Crowdsourcing801 topic
  2. Volunteered Geographic Information801 topic
  3. Travel Behavior782 topics
  4. GPS Data551 topic
  5. Human Mobility551 topic
  6. Eye Tracking461 topic
  7. Gaze Estimation461 topic
  8. STEM Education441 topic
  9. Spatial Ability441 topic
  10. GPS Trajectories401 topic
  11. Trajectory Data Mining401 topic
  12. Active Travel321 topic
  13. Built Environment321 topic
  14. Deep Learning241 topic
  15. Traffic Flow241 topic
  16. Public Transport231 topic
  17. Service Quality231 topic

Where does Martin Raubal work?

Martin Raubal's main affiliation in the publication record is ETH Zurich, Switzerland.

How many publications and citations does Martin Raubal have?

OpenAlex counts 297 works and 7,593 citations for Martin Raubal, an h-index of 47, ranking #42,646 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Martin Raubal

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Martin Raubal. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.