G. Da Costa

1.5k total citations
42 papers, 1.2k citations indexed

About

G. Da Costa is a scholar working on Biomedical Engineering, Materials Chemistry and Metals and Alloys. According to data from OpenAlex, G. Da Costa has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biomedical Engineering, 30 papers in Materials Chemistry and 21 papers in Metals and Alloys. Recurrent topics in G. Da Costa's work include Advanced Materials Characterization Techniques (40 papers), Hydrogen embrittlement and corrosion behaviors in metals (21 papers) and Diamond and Carbon-based Materials Research (18 papers). G. Da Costa is often cited by papers focused on Advanced Materials Characterization Techniques (40 papers), Hydrogen embrittlement and corrosion behaviors in metals (21 papers) and Diamond and Carbon-based Materials Research (18 papers). G. Da Costa collaborates with scholars based in France, Norway and Russia. G. Da Costa's co-authors include F. Vurpillot, B. Déconihout, D. Blavette, A. Bostel, Williams Lefebvre, Frédéric De Geuser, Mathieu Bouet, S. Duguay, A. Menand and L Renaud and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

G. Da Costa

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Da Costa France 19 904 781 355 272 220 42 1.2k
Robert M. Ulfig United States 13 755 0.8× 568 0.7× 287 0.8× 221 0.8× 165 0.8× 65 999
Jonathan Houard France 17 643 0.7× 610 0.8× 172 0.5× 127 0.5× 258 1.2× 59 905
Roger Alvis United States 11 586 0.6× 476 0.6× 170 0.5× 129 0.5× 230 1.0× 27 846
P. H. Clifton United Kingdom 13 504 0.6× 684 0.9× 124 0.3× 287 1.1× 324 1.5× 31 1.2k
Andrew London United Kingdom 18 298 0.3× 756 1.0× 311 0.9× 332 1.2× 50 0.2× 45 1.0k
M.G. Hetherington United Kingdom 16 1.1k 1.2× 934 1.2× 530 1.5× 764 2.8× 196 0.9× 40 1.6k
S. Duguay France 21 750 0.8× 789 1.0× 189 0.5× 78 0.3× 387 1.8× 69 1.2k
Lisa Ventelon France 26 218 0.2× 2.0k 2.5× 327 0.9× 959 3.5× 180 0.8× 34 2.3k
Frédéric Soisson France 26 397 0.4× 1.5k 1.9× 124 0.3× 1.1k 3.9× 183 0.8× 68 2.0k
N. Castin Belgium 21 216 0.2× 1.2k 1.5× 135 0.4× 650 2.4× 76 0.3× 58 1.5k

Countries citing papers authored by G. Da Costa

Since Specialization
Citations

This map shows the geographic impact of G. 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 G. 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 G. Da Costa more than expected).

Fields of papers citing papers by G. Da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. 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 G. Da Costa. The network helps show where G. Da Costa may publish in the future.

Co-authorship network of co-authors of G. Da Costa

This figure shows the co-authorship network connecting the top 25 collaborators of G. Da Costa. A scholar is included among the top collaborators of G. 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 G. Da Costa. G. Da Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Costa, G. Da, et al.. (2025). Effect of implanted hydrogen on the evaporation field of nickel in APT analysis. Journal of Physics D Applied Physics. 58(29). 295501–295501.
2.
Houard, Jonathan, G. Da Costa, Angela Vella, et al.. (2024). Microscopic correlation of doping distribution and luminescence in a nitride laser junction by Photonic Atom Probe. Physical Review Materials. 8(7). 1 indexed citations
3.
Lefebvre, Williams, et al.. (2024). Atom Probe Tomography experiments performed in a (Scanning) Transmission Electron Microscope. SHILAP Revista de lepidopterología. 129. 5006–5006. 1 indexed citations
4.
Costa, G. Da, et al.. (2024). Bringing atom probe tomography to transmission electron microscopes. Nature Communications. 15(1). 9870–9870. 9 indexed citations
5.
Hatzoglou, Constantinos, G. Da Costa, Peter Wells, et al.. (2023). Introducing a Dynamic Reconstruction Methodology for Multilayered Structures in Atom Probe Tomography. Microscopy and Microanalysis. 29(3). 1124–1136. 3 indexed citations
6.
Stephenson, Leigh T., Constantinos Hatzoglou, G. Da Costa, et al.. (2023). Introducing field evaporation energy loss spectroscopy. Communications Physics. 6(1). 1 indexed citations
7.
Hatzoglou, Constantinos, G. Da Costa, B. Geiser, et al.. (2023). Mesoscopic modeling of field evaporation on atom probe tomography. Journal of Physics D Applied Physics. 56(37). 375301–375301. 5 indexed citations
8.
Vella, Angela, et al.. (2021). High-resolution terahertz-driven atom probe tomography. Science Advances. 7(7). 25 indexed citations
9.
Russo, Enrico Di, Ivan Blum, Ivan Rivalta, et al.. (2020). Detecting Dissociation Dynamics of Phosphorus Molecular Ions by Atom Probe Tomography. The Journal of Physical Chemistry A. 124(52). 10977–10988. 11 indexed citations
10.
Russo, Enrico Di, N. Cherkashin, M. Korytov, et al.. (2019). Compositional accuracy in atom probe tomography analyses performed on III-N light emitting diodes. Journal of Applied Physics. 126(12). 18 indexed citations
11.
Blum, Ivan, Jonathan Houard, G. Da Costa, et al.. (2019). Photoassisted and multiphoton emission from single-crystal diamond needles. Nanoscale. 11(14). 6852–6858. 12 indexed citations
12.
Vurpillot, F., et al.. (2019). Enhancing Element Identification by Expectation–Maximization Method in Atom Probe Tomography. Microscopy and Microanalysis. 25(2). 367–377. 11 indexed citations
13.
Costa, G. Da, et al.. (2019). Spatial and Compositional Biases Introduced by Position Sensitive Detection Systems in APT: A Simulation Approach. Microscopy and Microanalysis. 25(2). 418–424. 8 indexed citations
14.
Russo, Enrico Di, Ivan Blum, Jonathan Houard, et al.. (2018). Compositional accuracy of atom probe tomography measurements in GaN: Impact of experimental parameters and multiple evaporation events. Ultramicroscopy. 187. 126–134. 33 indexed citations
15.
Hatzoglou, Constantinos, G. Da Costa, & F. Vurpillot. (2018). Enhanced dynamic reconstruction for atom probe tomography. Ultramicroscopy. 197. 72–82. 9 indexed citations
16.
Russo, Enrico Di, Lorenzo Mancini, Simona Moldovan, et al.. (2017). Three-dimensional atomic-scale investigation of ZnO-MgxZn1−xO m-plane heterostructures. Applied Physics Letters. 111(3). 20 indexed citations
17.
Russo, Enrico Di, Ivan Blum, Jonathan Houard, et al.. (2017). Field-Dependent Measurement of GaAs Composition by Atom Probe Tomography. Microscopy and Microanalysis. 23(6). 1067–1075. 21 indexed citations
18.
Vurpillot, F., et al.. (2012). A model to predict image formation in Atom probeTomography. Ultramicroscopy. 132. 152–157. 25 indexed citations
19.
Vurpillot, F., M. Gruber, G. Da Costa, et al.. (2011). Pragmatic reconstruction methods in atom probe tomography. Ultramicroscopy. 111(8). 1286–1294. 58 indexed citations
20.
Philippe, T., Frédéric De Geuser, S. Duguay, et al.. (2009). Clustering and nearest neighbour distances in atom-probe tomography. Ultramicroscopy. 109(10). 1304–1309. 107 indexed citations

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.

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