Robert L. Ogniewicz

760 citations
8 papers · 419 · h-index 5

Impact in

Papers in

Journals
Pattern Recognition (2 papers)Machine Vision and Applications (1 paper)Computer Vision and Pattern Recognition (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
Partner nations
SwitzerlandUnited States

In The Last Decade

Robert L. Ogniewicz

8 papers receiving 382 citations

Peers

Robert L. Ogniewicz
Comparison fields: 5 of 74
  • Computer Graphics and Computer-Aided Design 91
  • Computer Vision and Pattern Recognition 302
  • Computational Mechanics 97
  • Biophysics 18
  • Geometry and Topology 20
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Citations per field
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Citations per year

Countries citing papers authored by Robert L. Ogniewicz

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Ogniewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Ogniewicz. 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 Robert L. Ogniewicz. The network helps show where Robert L. Ogniewicz may publish in the future.

Co-authors

The 5 scholars most cited alongside Robert L. Ogniewicz, 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 Robert L. Ogniewicz Line = papers co-authored together Robert L. Ogniewicz links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1995258
2 2003122
3 199515
4 199213
5 20036
6
KNOWLEDGE-BASED INTERPRETATION OF ROAD MAPS BASED ON SYMMETRICAL SKELETONS
19902
7 19922
8
Skeleton-Space: a Multiscale Shape Description Combining Region and Boundary Information
19941

About Robert L. Ogniewicz

Robert L. Ogniewicz is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geometry and Topology, Signal Processing and Computational Mechanics, having authored 8 papers that have together received 419 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers), Computational Geometry and Mesh Generation (3 papers), Image and Object Detection Techniques (1 paper), Data Management and Algorithms (1 paper), Morphological variations and asymmetry (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (91 citations), Computer Vision and Pattern Recognition (302 citations), Computational Mechanics (97 citations), Biophysics (18 citations) and Geometry and Topology (20 citations). Robert L. Ogniewicz has collaborated with scholars based in Switzerland and United States. Frequent co-authors include O. Kübler, Gábor Székely, Thomas F. Budinger, Peter Sander and Gábor J. Székely. Their work appears in journals such as Pattern Recognition, Machine Vision and Applications, Computer Vision and Pattern Recognition and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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