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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.14690 |
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| _version_ | 1866910536582561792 |
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| author | Albertini, Marcelo Keese Backes, André Ricardo |
| author_facet | Albertini, Marcelo Keese Backes, André Ricardo |
| contents | Productivity in Research (PQ) is a scholarship granted by CNPq (Brazilian National Council for Scientific and Technological Development). This scholarship aims to recognize a few selected faculty researchers for their scientific production, outstanding technology and innovation in their respective areas of knowledge. In the present study, we evaluated the scientific production of the 185 researchers in the Computer Science area granted with PQ scholarship in the last PQ selection notice. To evaluate the productivity of each professor, we considered papers published in scientific journals and conferences (complete works) in a five years period (from 2017 to 2021). We analyzed the productivity in terms of both quantity and quality. We also evaluated its distribution over the country, universities and research facilities, as well as, the co-authorship network produced. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_14690 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021 Albertini, Marcelo Keese Backes, André Ricardo Digital Libraries Computer Vision and Pattern Recognition Productivity in Research (PQ) is a scholarship granted by CNPq (Brazilian National Council for Scientific and Technological Development). This scholarship aims to recognize a few selected faculty researchers for their scientific production, outstanding technology and innovation in their respective areas of knowledge. In the present study, we evaluated the scientific production of the 185 researchers in the Computer Science area granted with PQ scholarship in the last PQ selection notice. To evaluate the productivity of each professor, we considered papers published in scientific journals and conferences (complete works) in a five years period (from 2017 to 2021). We analyzed the productivity in terms of both quantity and quality. We also evaluated its distribution over the country, universities and research facilities, as well as, the co-authorship network produced. |
| title | Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021 |
| topic | Digital Libraries Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2407.14690 |