A. Nagy

3.3k total citations
95 papers, 1.4k citations indexed

About

A. Nagy is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, A. Nagy has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Nuclear and High Energy Physics, 39 papers in Materials Chemistry and 27 papers in Aerospace Engineering. Recurrent topics in A. Nagy's work include Magnetic confinement fusion research (49 papers), Fusion materials and technologies (32 papers) and Particle accelerators and beam dynamics (18 papers). A. Nagy is often cited by papers focused on Magnetic confinement fusion research (49 papers), Fusion materials and technologies (32 papers) and Particle accelerators and beam dynamics (18 papers). A. Nagy collaborates with scholars based in United States, Czechia and Hungary. A. Nagy's co-authors include K.H. Andy Choo, Bryce Vissel, Paul Kalitsis, E. D. Earle, Lenka Černíková, A. Bortolon, R. Lunsford, Helena Jiřincová, R. Maingi and Martina Havlíčková and has published in prestigious journals such as Nucleic Acids Research, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

A. Nagy

87 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
A. Nagy United States 22 576 488 300 248 247 95 1.4k
S. Kahane Israel 20 568 1.0× 290 0.6× 202 0.7× 38 0.2× 146 0.6× 74 1.5k
Michael Nelson United States 26 285 0.5× 57 0.1× 1.6k 5.3× 618 2.5× 31 0.1× 67 3.0k
Toshio Murakami Japan 24 182 0.3× 168 0.3× 269 0.9× 27 0.1× 15 0.1× 116 1.7k
Takaya Hayashi Japan 19 807 1.4× 67 0.1× 281 0.9× 17 0.1× 50 0.2× 59 1.8k
Motoo Suzuki Japan 24 540 0.9× 85 0.2× 460 1.5× 27 0.1× 28 0.1× 86 1.7k
Masaaki Ono Japan 23 58 0.1× 116 0.2× 116 0.4× 29 0.1× 120 0.5× 107 1.7k
T. Fukuda Japan 26 1.8k 3.2× 1.0k 2.1× 118 0.4× 7 0.0× 394 1.6× 102 2.3k
Chuan Li China 20 51 0.1× 354 0.7× 136 0.5× 41 0.2× 100 0.4× 141 1.6k
John I. Robinson United States 10 285 0.5× 131 0.3× 143 0.5× 10 0.0× 46 0.2× 22 644
C. Bazin France 23 148 0.3× 18 0.0× 638 2.1× 579 2.3× 351 1.4× 97 2.0k

Countries citing papers authored by A. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by A. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Nagy. 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 A. Nagy. The network helps show where A. Nagy may publish in the future.

Co-authorship network of co-authors of A. Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of A. Nagy. A scholar is included among the top collaborators of A. Nagy 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 A. Nagy. A. Nagy 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.
Effenberg, F., Shota Abe, T. Abrams, et al.. (2025). Deuterium retention in pre-lithiated samples and Li–D co-deposits in the DIII-D tokamak. Nuclear Materials and Energy. 43. 101915–101915. 1 indexed citations
2.
3.
Lunsford, R., A. Gallo, P. Moreau, et al.. (2024). Utilization of boron particulate wall conditioning in the full tungsten environment of WEST. Nuclear Materials and Energy. 40. 101726–101726. 2 indexed citations
4.
Bourdelle, C., P. Manas, A. Gallo, et al.. (2024). Stability analysis of WEST L-mode discharges with improved confinement from boron powder injection. Plasma Physics and Controlled Fusion. 66(4). 45022–45022.
5.
Snipes, J., L. R. Baylor, A. Bortolon, et al.. (2024). Initial design concepts for solid boron injection in ITER. Nuclear Materials and Energy. 41. 101809–101809. 4 indexed citations
6.
Effenberg, F., Shota Abe, T. Abrams, et al.. (2023). In-situ coating of silicon-rich films on tokamak plasma-facing components with real-time Si material injection. Nuclear Fusion. 63(10). 106004–106004. 3 indexed citations
7.
Kawate, Tomoko, N. Ashikawa, M. Goto, et al.. (2022). Experimental study on boron distribution and transport at plasma-facing components during impurity powder dropping in the Large Helical Device. Nuclear Fusion. 62(12). 126052–126052. 9 indexed citations
8.
Lunsford, R., S. Masuzaki, F. Nespoli, et al.. (2022). Real-time wall conditioning and recycling modification utilizing boron and boron nitride powder injections into the Large Helical Device. Nuclear Fusion. 62(8). 86021–86021. 15 indexed citations
9.
Gallo, A., A. Diallo, R. Lunsford, et al.. (2022). Initial results from boron powder injection experiments in WEST lower single null L-mode plasmas. Nuclear Fusion. 62(8). 86020–86020. 22 indexed citations
10.
Nagy, A., et al.. (2022). Reverse-zoonotic transmission of SARS-CoV-2 lineage alpha (B.1.1.7) to great apes and exotic felids in a zoo in the Czech Republic. Archives of Virology. 167(8). 1681–1685. 23 indexed citations
11.
Laggner, F. M., A. Bortolon, T. M. Wilks, et al.. (2021). Absolute calibration of the Lyman-α measurement apparatus at DIII-D. Review of Scientific Instruments. 92(3). 33522–33522. 10 indexed citations
12.
Hughes, J. W., A. Bortolon, F. M. Laggner, et al.. (2021). A 1D Lyman-alpha profile camera for plasma edge neutral studies on the DIII-D tokamak. Review of Scientific Instruments. 92(3). 33523–33523. 21 indexed citations
13.
Effenberg, F., A. Bortolon, H. Frerichs, et al.. (2021). 3D modeling of boron transport in DIII-D L-mode wall conditioning experiments. Nuclear Materials and Energy. 26. 100900–100900. 11 indexed citations
14.
Nagy, A., Lenka Černíková, Zuzana Dirbáková, et al.. (2021). A universal RT-qPCR assay for “One Health” detection of influenza A viruses. PLoS ONE. 16(1). e0244669–e0244669. 42 indexed citations
15.
Nespoli, F., N. Ashikawa, E.P. Gilson, et al.. (2020). First impurity powder injection experiments in LHD. Nuclear Materials and Energy. 25. 100842–100842. 24 indexed citations
16.
Bortolon, A., R. Maingi, D. K. Mansfield, et al.. (2017). Mitigation of divertor heat flux by high-frequency ELM pacing with non-fuel pellet injection in DIII-D. Nuclear Materials and Energy. 12. 1030–1036. 15 indexed citations
17.
Černíková, Lenka, et al.. (2017). Development and evaluation of TaqMan real-time PCR assay for detection of beak and feather disease virus. Journal of Virological Methods. 244. 55–60. 7 indexed citations
18.
Nagy, A., et al.. (2014). Local-Scale Diversity and Between-Year “Frozen Evolution” of Avian Influenza A Viruses in Nature. PLoS ONE. 9(7). e103053–e103053. 13 indexed citations
19.
Sanchez, Anthony D., R. I. Pinsker, F. W. Baity, et al.. (2010). Improved RF Phase and Amplitude Detection for ICRF Heating Experiments. Bulletin of the American Physical Society. 52.
20.
Nagy, A., Lenka Černíková, Zuzana Dirbáková, et al.. (2010). Development and evaluation of a one-step real-time RT-PCR assay for universal detection of influenza A viruses from avian and mammal species. Archives of Virology. 155(5). 665–673. 45 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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