Jonas Dias
Impact in
-
- Scientific Computing and Data Management
-
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Advanced Database Systems and Queries
Papers in
-
- Scientific Computing and Data Management 24
-
- Distributed and Parallel Computing Systems 17
- Advanced Data Storage Technologies 8
- Co-authors
- Marta Mattoso (25 shared papers)Daniel de Oliveira (23 shared papers)Eduardo Ogasawara (22 shared papers)Kary Ocaña (14 shared papers)Fábio Porto (6 shared papers)Patrick Valduriez (5 shared papers)Vítor Silva (5 shared papers)Álvaro L. G. A. Coutinho (5 shared papers)
In The Last Decade
Jonas Dias
26 papers receiving 378 citations
Peers
Comparison fields: 5 of 34
- Information Systems and Management 336
- Computer Networks and Communications 322
- Information Systems 245
- Biophysics 13
- Management Information Systems 12
Countries citing papers authored by Jonas Dias
This map shows the geographic impact of Jonas Dias'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 Jonas Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Dias more than expected).
Fields of papers citing papers by Jonas Dias
This network shows the impact of papers produced by Jonas Dias. 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 Jonas Dias. The network helps show where Jonas Dias may publish in the future.
Co-authors
The 16 scholars most cited alongside Jonas Dias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 70 | |
| 2 | 2014 | 41 | |
| 3 | 2013 | 40 | |
| 4 | 2013 | 37 | |
| 5 | 2013 | 26 | |
| 6 | 2011 | 19 | |
| 7 | 2011 | 16 | |
| 8 | 2014 | 16 | |
| 9 | 2013 | 14 | |
| 10 | 2013 | 14 | |
| 11 | 2014 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2012 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2012 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2012 | 5 | |
| 20 | 2013 | 5 |
About Jonas Dias
Jonas Dias is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Molecular Biology and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 399 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (24 papers), Distributed and Parallel Computing Systems (17 papers), Advanced Data Storage Technologies (8 papers), Research Data Management Practices (6 papers), Cloud Computing and Resource Management (5 papers), Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Information Systems and Management (336 citations), Computer Networks and Communications (322 citations), Information Systems (245 citations), Biophysics (13 citations) and Management Information Systems (12 citations). Jonas Dias has collaborated with scholars based in Brazil, France and Russia. Frequent co-authors include Marta Mattoso, Daniel de Oliveira, Eduardo Ogasawara, Kary Ocaña, Fábio Porto, Patrick Valduriez, Vítor Silva, Álvaro L. G. A. Coutinho, Fernanda Baião and Fernando A. Rochinha. Their work appears in journals such as Future Generation Computer Systems, International Journal for Uncertainty Quantification, Computational Geosciences, Proceedings of the VLDB Endowment and Concurrency and Computation Practice and Experience.
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.