E. Keppel
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
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- Renal and Vascular Pathologies 1
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- Speech Recognition and Synthesis 2
- Co-authors
- Gerhard Opelz (2 shared papers)A Engelmann (2 shared papers)Schwarz Schwarz (1 shared paper)Mieszko M. Wilk (1 shared paper)Djuna Z. de Back (1 shared paper)Egon Pfarr (1 shared paper)Steven DeGennaro (1 shared paper)Marco Ferretti (1 shared paper)
- Journals
- RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (1 paper)IBM Journal of Research and Development (1 paper)Nuclear Instruments and Methods (1 paper)PubMed (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
E. Keppel
7 papers receiving 391 citations
Peers
Comparison fields: 5 of 82
- Computer Graphics and Computer-Aided Design 230
- Transplantation 34
- Computational Mechanics 195
- Computer Vision and Pattern Recognition 198
- Acoustics and Ultrasonics 4
Countries citing papers authored by E. Keppel
This map shows the geographic impact of E. Keppel'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. Keppel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Keppel more than expected).
Fields of papers citing papers by E. Keppel
This network shows the impact of papers produced by E. Keppel. 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. Keppel. The network helps show where E. Keppel may publish in the future.
Co-authors
The 14 scholars most cited alongside E. Keppel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 375 | |
| 2 | Long-term impact of HLA matching on kidney graft survival in cyclosporine-treated recipients. | 1991 | 33 |
| 3 | Kidney graft survival rates in black cyclosporine-treated recipients. Collaborative Transplant Study. | 1989 | 15 |
| 4 | 1991 | 13 | |
| 5 | 1989 | 5 | |
| 6 | 1971 | 3 | |
| 7 | 1993 | 2 |
About E. Keppel
E. Keppel is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Transplantation, Surgery and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 446 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Transplantation: Methods and Outcomes (1 paper), Nuclear physics research studies (1 paper), Nuclear Physics and Applications (1 paper), Renal and Vascular Pathologies (1 paper) and Particle physics theoretical and experimental studies (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (230 citations), Transplantation (34 citations), Computational Mechanics (195 citations), Computer Vision and Pattern Recognition (198 citations) and Acoustics and Ultrasonics (4 citations). E. Keppel has collaborated with scholars based in Germany and United States. Frequent co-authors include Gerhard Opelz, A Engelmann, Schwarz Schwarz, Mieszko M. Wilk, Djuna Z. de Back, Egon Pfarr, Steven DeGennaro, Marco Ferretti, Kieran Mohr and G Walch. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, IBM Journal of Research and Development, Nuclear Instruments and Methods and PubMed.
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.