Dávid Nagy

714 total citations
26 papers, 439 citations indexed

About

Dávid Nagy is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Dávid Nagy has authored 26 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Cognitive Neuroscience. Recurrent topics in Dávid Nagy's work include Cold Atom Physics and Bose-Einstein Condensates (6 papers), Quantum Information and Cryptography (5 papers) and Visual perception and processing mechanisms (3 papers). Dávid Nagy is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (6 papers), Quantum Information and Cryptography (5 papers) and Visual perception and processing mechanisms (3 papers). Dávid Nagy collaborates with scholars based in Hungary, United Kingdom and United States. Dávid Nagy's co-authors include P. Domokos, G. Szirmai, G. Kónya, Gergő Orbán, Vladimir Manucharyan, Alexandre Baksic, Cristiano Ciuti, Karolina Janacsek, Dezső Németh and Andrew Saxe and has published in prestigious journals such as Physical Review Letters, Annals of the Rheumatic Diseases and Journal of Experimental Psychology General.

In The Last Decade

Dávid Nagy

23 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dávid Nagy Hungary 7 346 271 51 46 19 26 439
Javier Molina-Vilaplana Spain 10 205 0.6× 97 0.4× 44 0.9× 117 2.5× 20 1.1× 31 370
Adam Bednorz Poland 10 234 0.7× 185 0.7× 28 0.5× 74 1.6× 24 1.3× 41 314
Sara Schneider United States 10 615 1.8× 617 2.3× 17 0.3× 82 1.8× 24 1.3× 16 759
A. El Allati Morocco 15 504 1.5× 523 1.9× 8 0.2× 114 2.5× 17 0.9× 78 590
Pei-Qing Jin China 11 245 0.7× 122 0.5× 128 2.5× 11 0.2× 38 2.0× 20 424
Orly Shenker Israel 12 280 0.8× 64 0.2× 62 1.2× 270 5.9× 5 0.3× 39 402
Alex Carr United States 5 471 1.4× 404 1.5× 9 0.2× 11 0.2× 22 1.2× 7 540
Luca Magazzù Germany 9 201 0.6× 108 0.4× 35 0.7× 167 3.6× 54 2.8× 16 375
R. I. Khakimov Australia 7 256 0.7× 107 0.4× 11 0.2× 14 0.3× 40 2.1× 10 348
Ian Fuss Australia 6 73 0.2× 64 0.2× 70 1.4× 11 0.2× 34 1.8× 15 231

Countries citing papers authored by Dávid Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dávid Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Nagy. A scholar is included among the top collaborators of Dávid 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 Dávid Nagy. Dávid 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.
Nagy, Dávid, et al.. (2024). Intensions and extensions of granules: A two-component treatment. International Journal of Approximate Reasoning. 169. 109182–109182. 1 indexed citations
2.
Varga, D., Dávid Nagy, András Dombi, et al.. (2024). Loading atoms from a large magnetic trap to a small intra-cavity optical lattice. Physics Letters A. 505. 129444–129444.
3.
Nagy, Dávid, András Dombi, Thomas W. Clark, et al.. (2023). Ground-state bistability of cold atoms in a cavity. Physical review. A. 107(2). 10 indexed citations
4.
Flesch, Timo, Dávid Nagy, Andrew Saxe, & Christopher Summerfield. (2023). Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. PLoS Computational Biology. 19(1). e1010808–e1010808. 18 indexed citations
5.
Nagy, Dávid, M. Dessauges‐Zavadsky, Matteo Messa, et al.. (2023). Resolved Kennicutt–Schmidt law in two strongly lensed star-forming galaxies at redshift 1. Astronomy and Astrophysics. 678. A183–A183. 3 indexed citations
6.
Nagy, Dávid, et al.. (2023). Quantum bistability in the hyperfine ground state of atoms. Physical Review Research. 5(4). 1 indexed citations
7.
Nagy, Dávid, et al.. (2022). Tracking the contribution of inductive bias to individualised internal models. PLoS Computational Biology. 18(6). e1010182–e1010182. 4 indexed citations
8.
Jiang, Tammy, Dávid Nagy, Anthony J. Rosellini, et al.. (2022). The Joint Effects of Depression and Comorbid Psychiatric Disorders on Suicide Deaths: Competing Antagonism as an Explanation for Subadditivity.. Epidemiology. 33(2). 295–305. 3 indexed citations
9.
10.
Nagy, Dávid, et al.. (2021). Improved Image Aggregation for Large-Scale Cloud-Free Image Creation. 11. 3889–3892. 1 indexed citations
11.
Nagy, Dávid. (2021). Simulations of NACA 65-415 and NACA 64-206 Airfoils using Computational Fluid Dynamics. 220. 57–62. 2 indexed citations
12.
Nagy, Dávid, et al.. (2020). Optimal forgetting: Semantic compression of episodic memories. PLoS Computational Biology. 16(10). e1008367–e1008367. 8 indexed citations
13.
Orbán, Gergő, et al.. (2020). Variational Autoencoder account of the early visual hierarchy. MPG.PuRe (Max Planck Society). 165–166. 1 indexed citations
14.
Kis, Viktória Kovács, et al.. (2019). HRTEM study of individual bone apatite nanocrystals reveals symmetry reduction with respect to P63/m apatite. Materials Science and Engineering C. 104. 109966–109966. 9 indexed citations
15.
Nagy, Dávid, et al.. (2019). Hierarchical semantic compression predicts texture selectivity in early vision. 3 indexed citations
16.
Janacsek, Karolina, et al.. (2017). Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning.. Journal of Experimental Psychology General. 146(4). 529–542. 24 indexed citations
17.
Nagy, Dávid & Gergő Orbán. (2016). Episodic memory as a prerequisite for online updates of model structure.. Cognitive Science. 2 indexed citations
18.
Baksic, Alexandre, et al.. (2015). Ancillary Qubit Spectroscopy of Vacua in Cavity and Circuit Quantum Electrodynamics. Physical Review Letters. 114(18). 183601–183601. 39 indexed citations
19.
Nagy, Dávid, G. Kónya, G. Szirmai, & P. Domokos. (2010). Dicke-Model Phase Transition in the Quantum Motion of a Bose-Einstein Condensate in an Optical Cavity. Physical Review Letters. 104(13). 130401–130401. 292 indexed citations
20.
Nagy, Dávid, et al.. (1980). An Improved Technique for Calibrating and Testing Power System Generator Automatic Synchronizing and Speed Hatching Relays. IEEE Transactions on Power Apparatus and Systems. PAS-99(1). 134–140. 2 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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