Jean‐Pierre da Costa
- Plant Science top 5%
- Materials Chemistry
- Computer Vision and Pattern Recognition top 5%
- Food Science top 5%
- Cell Biology top 10%
- Co-authors
- Christian GermainGérard L. VignolesJean‐Marc LeyssaleP. WeisbeckerPierre BaylouMarc DoniasOlivier LavialleAlain Muselli
- Topics
- Horticultural and Viticultural Research (12 papers)Medical Image Segmentation Techniques (11 papers)Smart Agriculture and AI (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersPLoS ONE
In The Last Decade
Jean‐Pierre da Costa
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Plant Science 386
- Materials Chemistry 236
- Computer Vision and Pattern Recognition 180
- Food Science 162
- Cell Biology 141
Countries citing papers authored by Jean‐Pierre da Costa
This map shows the geographic impact of Jean‐Pierre da Costa'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‐Pierre da Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre da Costa more than expected).
Fields of papers citing papers by Jean‐Pierre da Costa
This network shows the impact of papers produced by Jean‐Pierre da Costa. 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‐Pierre da Costa. The network helps show where Jean‐Pierre da Costa may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre da Costa
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre da Costa. A scholar is included among the top collaborators of Jean‐Pierre da Costa 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 Jean‐Pierre da Costa. Jean‐Pierre da Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | Chemical composition and antioxidant activity of essential oils and solvent extracts of Thymus capitatus (L.) Hoffmanns and link from Morocco | 33 |
| 13 | 26 | |
| 14 | 28 | |
| 15 | 6 | |
| 16 | 29 | |
| 17 | 50 | |
| 18 | 6 | |
| 19 | Hyperspectral Image Analysis for Precision Viticulture | 0 |
| 20 | Plant physiological studies in tropical rain forest and pasture in Amazonia. | 1 |
About Jean‐Pierre da Costa
Jean‐Pierre da Costa is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Horticultural and Viticultural Research (12 papers), Medical Image Segmentation Techniques (11 papers) and Smart Agriculture and AI (10 papers). The work is most often cited by research in Structural Biology (18 citations), Plant Science (386 citations) and Food Science (162 citations). Jean‐Pierre da Costa has collaborated with scholars based in France, Algeria and Morocco. Frequent co-authors include Christian Germain, Gérard L. Vignoles, Jean‐Marc Leyssale, P. Weisbecker, Pierre Baylou, Marc Donias, Olivier Lavialle, Alain Muselli, Jonathan Gerbore and Pascal Lecomte. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.
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.