Ruth Shapira
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Industrial and Manufacturing Engineering top 10%
- Aerospace Engineering
- Computer Networks and Communications
- Co-authors
- Herbert Freeman
- Topics
- Advanced Vision and Imaging (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)Manufacturing Process and Optimization (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMComputer Graphics and Image Processing
- Partner nations
- United StatesIsrael
In The Last Decade
Ruth Shapira
7 papers receiving 308 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 164
- Computer Graphics and Computer-Aided Design 102
- Industrial and Manufacturing Engineering 55
- Aerospace Engineering 45
- Computer Networks and Communications 39
Countries citing papers authored by Ruth Shapira
This map shows the geographic impact of Ruth Shapira'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 Ruth Shapira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Shapira more than expected).
Fields of papers citing papers by Ruth Shapira
This network shows the impact of papers produced by Ruth Shapira. 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 Ruth Shapira. The network helps show where Ruth Shapira may publish in the future.
Co-authorship network of co-authors of Ruth Shapira
This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Shapira. A scholar is included among the top collaborators of Ruth Shapira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruth Shapira. Ruth Shapira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | Reconstruction of curved-surface bodies from a set of imperfect projections | 6 |
| 6 | 275 | |
| 7 | 12 |
About Ruth Shapira
Ruth Shapira is a scholar working on Theoretical Computer Science, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (102 citations), Computer Vision and Pattern Recognition (164 citations) and Industrial and Manufacturing Engineering (55 citations). Ruth Shapira has collaborated with scholars based in United States and Israel. Frequent co-authors include Herbert Freeman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Computer Graphics and Image Processing.
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.