José Salavert Torres
- Molecular Biology
- Artificial Intelligence
- Computer Networks and Communications
- Biomedical Engineering
- Information Systems and Management
- Co-authors
- Joaquı́n DopazoJoaquín TárragaJuliette GimenezIgnacio MedinaIgnácio BlanquerJoaquín De la MorenaF.J. SalvadorJ. Damián Segrelles
- Topics
- Genomics and Phylogenetic Studies (6 papers)Scientific Computing and Data Management (4 papers)Distributed and Parallel Computing Systems (4 papers)
- Partner nations
- SpainUnited Kingdom
In The Last Decade
José Salavert Torres
13 papers receiving 86 citations
Peers
Comparison fields: 5 of 41
- Molecular Biology 47
- Artificial Intelligence 31
- Computer Networks and Communications 13
- Biomedical Engineering 10
- Information Systems and Management 9
Countries citing papers authored by José Salavert Torres
This map shows the geographic impact of José Salavert Torres'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 José Salavert Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Salavert Torres more than expected).
Fields of papers citing papers by José Salavert Torres
This network shows the impact of papers produced by José Salavert Torres. 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 José Salavert Torres. The network helps show where José Salavert Torres may publish in the future.
Co-authorship network of co-authors of José Salavert Torres
This figure shows the co-authorship network connecting the top 25 collaborators of José Salavert Torres. A scholar is included among the top collaborators of José Salavert Torres 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 José Salavert Torres. José Salavert Torres is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | Robust Error Correction for De Novo Assembly via Spectral Partitioning and Sequence Alignment. | 2 |
| 7 | 13 | |
| 8 | EXCHANGING DATA FOR BREAST CANCER DIAGNOSIS ON HETEROGENEOUS GRID PLATFORMS | 2 |
| 9 | 21 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | Integrating TRENCADIS components in gLite to share DICOM medical images and structured reports. | 2 |
| 13 | Using grid-enabled distributed metadata database to index DICOM-SR. | 3 |
About José Salavert Torres
José Salavert Torres is a scholar working on Structural Biology, Information Systems and Management and Computer Science Applications, having authored 13 papers that have together received 86 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Scientific Computing and Data Management (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Structural Biology (4 citations), Information Systems and Management (9 citations) and Hardware and Architecture (8 citations). José Salavert Torres has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Joaquı́n Dopazo, Joaquín Tárraga, Juliette Gimenez, Ignacio Medina, Ignácio Blanquer, Joaquín De la Morena, F.J. Salvador, J. Damián Segrelles, Santiago Ruíz and Ardan Patwardhan. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Journal of Structural Biology.
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.