Jean Salzemann
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- Scientific Computing and Data Management 4
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- Distributed and Parallel Computing Systems 2
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- Genetics, Bioinformatics, and Biomedical Research 4
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 2
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- Mosquito-borne diseases and control 1
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- Evolution and Genetic Dynamics 1
- Co-authors
- Vincent BretonVinod KasamAstrid MaaßMartin Hofmann‐ApitiusSimon C. LinYing‐Ta WuMarc ZimmermannHurng-Chun Lee
- Cited by
- Information Systems and ManagementComputational Theory and MathematicsHardware and Architecture
In The Last Decade
Jean Salzemann
9 papers receiving 134 citations
Peers
Comparison fields: 5 of 42
- Information Systems and Management 42
- Computational Theory and Mathematics 43
- Hardware and Architecture 17
- Computer Networks and Communications 55
- Information Systems 27
Countries citing papers authored by Jean Salzemann
This map shows the geographic impact of Jean Salzemann'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 Jean Salzemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Salzemann more than expected).
Fields of papers citing papers by Jean Salzemann
This network shows the impact of papers produced by Jean Salzemann. 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 Jean Salzemann. The network helps show where Jean Salzemann may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Jean Salzemann, 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 | 2009 | 32 | |
| 2 | HOPE, an open platform for medical data management on the grid. | 2008 | 3 |
| 3 | 2007 | 17 | |
| 4 | 2007 | 44 | |
| 5 | 2007 | 2 | |
| 6 | 2007 | 5 | |
| 7 | Grid enabled high throughput virtual screening against four different targets implicated in malaria. | 2007 | 1 |
| 8 | 2006 | 30 | |
| 9 | Demonstration of in silico docking at a large scale on grid infrastructure. | 2006 | 5 |
About Jean Salzemann
Jean Salzemann is a scholar working on Information Systems and Management, Biophysics and Molecular Biology, having authored 9 papers that have together received 139 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Scientific Computing and Data Management (4 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), Distributed and Parallel Computing Systems (2 papers), Bioinformatics and Genomic Networks (2 papers), Mosquito-borne diseases and control (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Information Systems and Management (42 citations), Computational Theory and Mathematics (43 citations) and Hardware and Architecture (17 citations). Jean Salzemann has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include Vincent Breton, Vinod Kasam, Astrid Maaß, Martin Hofmann‐Apitius, Simon C. Lin, Ying‐Ta Wu, Marc Zimmermann, Hurng-Chun Lee, Giulio Rastelli and Luciano Milanesi. Their work appears in journals such as Malaria Journal, Parallel Computing and IEEE Transactions on NanoBioscience.
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.