Science Explorer Back to mapMap
Discussion
Researcher · Technische Universität Ilmenau · Germany

E. Einhorn

E. Einhorn publishes mostly in Computer Vision and Pattern Recognition, Language and Linguistics and Aerospace Engineering, on topics such as Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#425,781
of 7,710,434 ranked researchers
Rank in Germany
#20,971
of 364,343
Works
48
Citations
1.1k
Citations per work
22.5
h-index
17
i10-index 20Top 18% in Computer Vision and Pattern Recognition
E. Einhorn

What does E. Einhorn research?

E. Einhorn's work is mostly in Computer Science (24%), Engineering (16%), Arts and Humanities (15%).

Physical Sciences: 19 works · 39.1% of their workComputer Science: 11 works · 23.6% of their workComputer Vision and Pattern Recognition: 11 works · 23.6% of their workEngineering: 7 works · 15.5% of their workAerospace Engineering: 5 works · 9.8% of their workControl and Systems Engineering: 3 works · 5.7% of their workEverything else: 17 works · 34.9% of their workSocial Sciences: 12 works · 26.0% of their workArts and Humanities: 7 works · 14.6% of their workLanguage and Linguistics: 7 works · 14.6% of their workSocial Sciences: 3 works · 6.5% of their workPolitical Science and International Relations: 3 works · 6.5% of their workPsychology: 2 works · 4.9% of their workSocial Psychology: 2 works · 4.9% of their workTHEIR WORKE. Einhorn48works
Physical Sciences39%Social Sciences26%

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. Computer Science1123.6%
    2. Engineering715.5%
  2. Everything else1734.9%
    1. Arts and Humanities714.6%
    2. Social Sciences36.5%
    3. Psychology24.9%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Language and Linguistics15% of their works
  3. 3Aerospace Engineering10% of their works
  4. 4Political Science and International Relations6% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Social Psychology5% of their works

Research topics

Which keywords describe E. Einhorn's research?

The keywords of their largest research topics: 3D Mapping, Human-Robot Interaction, SLAM, Deep Learning, Language Evolution, Optimal Motion Planning, Sampling-Based Algorithms and Feature Matching.

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.

All 19 words, with their numbers
  1. 3D Mapping121 topic
  2. Human-Robot Interaction122 topics
  3. SLAM121 topic
  4. Deep Learning112 topics
  5. Language Evolution102 topics
  6. Optimal Motion Planning101 topic
  7. Sampling-Based Algorithms101 topic
  8. Feature Matching71 topic
  9. Local Descriptors71 topic
  10. Anthropomorphism61 topic
  11. Cloud Robotics61 topic
  12. Internet of Robotic Things61 topic
  13. Socially Assistive Robotics61 topic
  14. Indo-European51 topic
  15. Linguistics51 topic
  16. Semantics51 topic
  17. Syntax51 topic
  18. Activity Recognition41 topic
  19. Pervasive Computing41 topic

Where does E. Einhorn work?

E. Einhorn's main affiliation in the publication record is Technische Universität Ilmenau, Germany.

How many publications and citations does E. Einhorn have?

OpenAlex counts 48 works and 1,079 citations for E. Einhorn, an h-index of 17, ranking #425,781 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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 E. Einhorn. Posts are plain text and can be reported.