C. G. Rocha

1.6k total citations
48 papers, 1.3k citations indexed

About

C. G. Rocha is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, C. G. Rocha has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 23 papers in Electrical and Electronic Engineering and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in C. G. Rocha's work include Graphene research and applications (28 papers), Carbon Nanotubes in Composites (17 papers) and Quantum and electron transport phenomena (13 papers). C. G. Rocha is often cited by papers focused on Graphene research and applications (28 papers), Carbon Nanotubes in Composites (17 papers) and Quantum and electron transport phenomena (13 papers). C. G. Rocha collaborates with scholars based in Ireland, Brazil and United States. C. G. Rocha's co-authors include M. S. Ferreira, John J. Boland, Hugh G. Manning, Gianaurelio Cuniberti, Allen T. Bellew, A. Latgé, Colin O’Callaghan, M. Pacheco, Z. Barticevic and Stephan Roche and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

C. G. Rocha

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. G. Rocha Ireland 20 779 698 431 303 85 48 1.3k
Shuang Wu China 18 982 1.3× 622 0.9× 207 0.5× 331 1.1× 121 1.4× 48 1.4k
Yanfei Zhao China 18 918 1.2× 827 1.2× 189 0.4× 277 0.9× 171 2.0× 35 1.5k
Farshid Raissi Iran 17 263 0.3× 763 1.1× 438 1.0× 260 0.9× 55 0.6× 75 1.1k
Gengxu Chen China 19 558 0.7× 794 1.1× 324 0.8× 110 0.4× 133 1.6× 43 1.2k
Emiliano Pallecchi France 23 1.0k 1.3× 701 1.0× 316 0.7× 439 1.4× 75 0.9× 48 1.5k
Moh’d Rezeq United Arab Emirates 19 322 0.4× 645 0.9× 401 0.9× 359 1.2× 175 2.1× 60 1.1k
Anyuan Gao China 17 1.2k 1.5× 1.2k 1.7× 322 0.7× 241 0.8× 161 1.9× 20 1.7k
Sheng Xu China 20 585 0.8× 732 1.0× 180 0.4× 251 0.8× 143 1.7× 83 1.2k
David P. Nackashi United States 12 403 0.5× 532 0.8× 222 0.5× 175 0.6× 64 0.8× 30 996

Countries citing papers authored by C. G. Rocha

Since Specialization
Citations

This map shows the geographic impact of C. G. Rocha'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 C. G. Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. G. Rocha more than expected).

Fields of papers citing papers by C. G. Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. G. Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of C. G. Rocha. A scholar is included among the top collaborators of C. G. Rocha 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 C. G. Rocha. C. G. Rocha 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.
Ferreira, M. S., et al.. (2024). Identifying winner-takes-all emergence in random nanowire networks: an inverse problem. Physical Chemistry Chemical Physics. 26(46). 29015–29026.
2.
Quon, Harvey, et al.. (2024). Pharyngeal Constrictor Dose–Volume Histogram Metrics and Patient-Reported Dysphagia in Head and Neck Radiotherapy. Clinical Oncology. 36(3). 173–182. 5 indexed citations
3.
Rocha, C. G., et al.. (2023). Perceived Risks and Therapeutic Benefits of Cannabis Among College Students Amidst the COVID-19 Pandemic. PubMed. 6(3). 18–33. 3 indexed citations
4.
Manning, Hugh G., et al.. (2023). Thermo-electro-optical properties of seamless metallic nanowire networks for transparent conductor applications. Nanoscale. 15(24). 10394–10411. 5 indexed citations
5.
Wein, Stephen C., et al.. (2023). A DFT study of electron–phonon interactions for the C 2 C N and V N N B defects in hexagonal boron nitride: investigating the role of the transition dipole direction. Journal of Physics Condensed Matter. 35(38). 385701–385701. 8 indexed citations
6.
Ghobadi, Roohollah, et al.. (2022). Ab initio and group theoretical study of properties of a carbon trimer defect in hexagonal boron nitride. Physical review. B.. 105(18). 29 indexed citations
7.
Rocha, C. G., et al.. (2022). Using Youth-Led Participatory Action Research to Advance the Mental Health Needs of Latinx Youth During COVID-19. School Psychology Review. 52(5). 608–624. 9 indexed citations
8.
Ferreira, M. S., et al.. (2020). Nonlinear ion drift-diffusion memristance description of TiO2RRAM devices. Nanoscale Advances. 2(6). 2514–2524. 10 indexed citations
9.
Manning, Hugh G., et al.. (2019). The Electro-Optical Performance of Silver Nanowire Networks. Scientific Reports. 9(1). 11550–11550. 22 indexed citations
10.
Rocha, C. G., Alexandre Reily Rocha, Pedro Venezuela, José H. García, & M. S. Ferreira. (2018). Finite-size correction scheme for supercell calculations in Dirac-point two-dimensional materials. Scientific Reports. 8(1). 9348–9348. 5 indexed citations
11.
Manning, Hugh G., C. G. Rocha, Allen T. Bellew, et al.. (2018). Emergence of winner-takes-all connectivity paths in random nanowire networks. Nature Communications. 9(1). 3219–3219. 100 indexed citations
12.
Fairfield, Jessamyn A., C. G. Rocha, Colin O’Callaghan, M. S. Ferreira, & John J. Boland. (2016). Co-percolation to tune conductive behaviour in dynamical metallic nanowire networks. Nanoscale. 8(43). 18516–18523. 11 indexed citations
13.
Correa, J.D., C. G. Rocha, A. Latgé, & M. Pacheco. (2011). Probing optical spectra of carbon nanotubes with external fields. Journal of Physics Condensed Matter. 23(6). 65301–65301. 3 indexed citations
14.
Mendes, Rafael G., C. G. Rocha, Frank Ortmann, et al.. (2011). Graphene: Piecing it Together. Advanced Materials. 23(39). 4471–4490. 124 indexed citations
15.
Kawai, T., et al.. (2011). Mechanically-induced transport switching effect in graphene-based nanojunctions. Physical Review B. 83(24). 8 indexed citations
16.
Rocha, C. G., M. Pacheco, Luis E. F. Foa Torres, Gianaurelio Cuniberti, & A. Latgé. (2011). Transport response of carbon-based resonant cavities under time-dependent potential and magnetic fields. Europhysics Letters (EPL). 94(4). 47002–47002. 3 indexed citations
17.
Rocha, C. G. & M. S. Ferreira. (2010). A simple theoretical approach to designing nanotube‐based sensors. physica status solidi (b). 248(3). 686–693. 1 indexed citations
18.
Pacheco, M., Z. Barticevic, C. G. Rocha, & A. Latgé. (2005). Electric field effects on the energy spectrum of carbon nanotubes. Journal of Physics Condensed Matter. 17(37). 5839–5847. 19 indexed citations
19.
Latgé, A., et al.. (2003). Defects and external field effects on the electronic properties of a carbon nanotube torus. Physical review. B, Condensed matter. 67(15). 44 indexed citations
20.
Rocha, C. G., et al.. (2002). Electronic states in carbon nanotube quantum-dots. Brazilian Journal of Physics. 32(2a). 424–426. 1 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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