E. Einhorn

1.1k citations
24 papers · 762 indexed · h-index 16

E. Einhorn

24 papers receiving 722 citations

Peers

E. Einhorn
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 389
  • Human-Computer Interaction 79
  • Social Psychology 263
  • Aerospace Engineering 216
  • Geology 45
Replace Birgit Graf with:
Birgit Graf Germany
Walter Wohlkinger Austria
Elena Torta Netherlands
José María Plaza Spain
Yoichi Morales Japan
Štěpán Obdržálek Czechia
Maja Matarić United States
Jaehong Kim South Korea
Francesco Furfari Italy
Loulin Huang New Zealand
E. Einhorn relative to Birgit Graf Germany Birgit Graf's profile →
Citations per field
00.5×4.1×
Birgit Graf · 1×
Citations per year

Countries citing papers authored by E. Einhorn

Since Specialization
Citations

This map shows the geographic impact of E. Einhorn'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 E. Einhorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Einhorn more than expected).

Fields of papers citing papers by E. Einhorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Einhorn. 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 E. Einhorn. The network helps show where E. Einhorn may publish in the future.

Co-authorship network

The 16 scholars most cited alongside E. Einhorn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Einhorn Line = papers co-authored together E. Einhorn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201642
2 201532
3 201458
4 201424
5 201316
6 201388
7 20128
8 201217
9 201249
10 20114
11 20116
12 201145
13 201119
14 201167
15
Building 2D and 3D adaptive-resolution occupancy maps using Nd-Trees
20103
16
Pilot - modular robot navigation for real-world applications
20102
17 2009118
18
Monocular Scene Reconstruction for Reliable Obstacle Detection and Robot Navigation
20099
19
A Hybrid Kalman Filter Based Algorithm for Real-time Visual Obstacle Detection.
20071
20 197524

About E. Einhorn

E. Einhorn is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Aerospace Engineering, Social Psychology and Control and Systems Engineering, having authored 24 papers that have together received 762 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Robotic Path Planning Algorithms (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Social Robot Interaction and HRI (6 papers), Robotics and Automated Systems (5 papers), Context-Aware Activity Recognition Systems (4 papers), Advanced Vision and Imaging (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Human-Computer Interaction (79 citations), Social Psychology (263 citations), Aerospace Engineering (216 citations) and Geology (45 citations). E. Einhorn has collaborated with scholars based in Germany. Frequent co-authors include Horst–Michael Groß, A. Bley, Steffen Mueller, Michael Volkhardt, M. Merten, C. J. Martin, Claire Huijnen, Christian Martín, Alexander Koenig and H.-J. Boehme. Their work appears in journals such as Robotics and Autonomous Systems, Autonomous Robots, Medical Entomology and Zoology, Data Archiving and Networked Services (DANS) and Common Library Network (Der Gemeinsame Bibliotheksverbund).

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.

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