Erik R. Urbach

528 citations
11 papers · 326 indexed · h-index 5

Erik R. Urbach

11 papers receiving 304 citations

Peers

Erik R. Urbach
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 206
  • Media Technology 57
  • Astronomy and Astrophysics 91
  • Space and Planetary Science 6
  • Biophysics 13
Replace Leon Palafox with:
Leon Palafox Japan
Scott McCloskey United States
Christophe Fiorio France
Christoph Traxler Austria
D. Sudheer Reddy India
Pablo Musé France
Christophe Collet France
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Erik R. Urbach relative to Leon Palafox Japan Leon Palafox's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erik R. Urbach

Since Specialization
Citations

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

Fields of papers citing papers by Erik R. Urbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik R. Urbach. 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 Erik R. Urbach. The network helps show where Erik R. Urbach may publish in the future.

Co-authorship network

The 3 scholars most cited alongside Erik R. Urbach, 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 Erik R. Urbach Line = papers co-authored together Erik R. Urbach links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The First Automatic Survey of Impact Craters on Mars: Global Maps of Depth/Diameter Ratio
20095
2 20091
3 2009106
4
Automatic Detection of Sub-Kilometer Craters in High Resolution Images of Mars
20083
5
Raster Maps of Craters Depths in Southern Hemisphere of Mars: Potential Proxy for Spatial Distribution of Ground Ice
20081
6
Classification of objects consisting of multiple segments with application to crater detection.
20074
7 2007134
8 200756
9 20063
10 20042
11
Shape-only granulometries and gray-scale shape filters
200211

About Erik R. Urbach

Erik R. Urbach is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics and Biophysics, having authored 11 papers that have together received 326 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (6 papers), Planetary Science and Exploration (4 papers), Astro and Planetary Science (4 papers), Space Exploration and Technology (3 papers), Digital Image Processing Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Media Technology (57 citations) and Astronomy and Astrophysics (91 citations). Erik R. Urbach has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Michael H. F. Wilkinson, T. F. Stepinski and Jos B. T. M. Roerdink. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Planetary and Space Science.

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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