Daniel J. Brod

2.3k total citations · 1 hit paper
33 papers, 1.4k citations indexed

About

Daniel J. Brod is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel J. Brod has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 18 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel J. Brod's work include Quantum Information and Cryptography (28 papers), Quantum Computing Algorithms and Architecture (19 papers) and Neural Networks and Reservoir Computing (14 papers). Daniel J. Brod is often cited by papers focused on Quantum Information and Cryptography (28 papers), Quantum Computing Algorithms and Architecture (19 papers) and Neural Networks and Reservoir Computing (14 papers). Daniel J. Brod collaborates with scholars based in Brazil, Italy and Canada. Daniel J. Brod's co-authors include Ernesto F. Galvão, Nicolò Spagnolo, Fabio Sciarrino, Andrea Crespi, Roberto Osellame, Paolo Mataloni, Roberta Ramponi, Chiara Vitelli, Enrico Maiorino and Joshua Combes and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nature Photonics.

In The Last Decade

Daniel J. Brod

32 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrated multimode interferometers with arbitrary designs for photonic boson sampling

2013 411 citations Andrea Crespi, Roberto Osellame et al. Nature Photonics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Brod Brazil	17	1.2k	818	374	54	54	33	1.4k
Nicholas Thomas-Peter United Kingdom	10	924 0.8×	793 1.0×	526 1.4×	59 1.1×	82 1.5×	14	1.2k
Justin B. Spring United Kingdom	12	897 0.8×	945 1.2×	739 2.0×	58 1.1×	110 2.0×	30	1.4k
René Heilmann Germany	14	823 0.7×	858 1.0×	470 1.3×	114 2.1×	97 1.8×	20	1.3k
Guilherme B. Xavier Chile	17	980 0.8×	924 1.1×	297 0.8×	10 0.2×	43 0.8×	60	1.2k
Bryn A. Bell United Kingdom	17	716 0.6×	836 1.0×	313 0.8×	13 0.2×	32 0.6×	40	1.0k
Joseph B. Altepeter United States	17	1.5k 1.3×	1.5k 1.8×	235 0.6×	11 0.2×	45 0.8×	47	1.7k
G. Lima Chile	22	1.3k 1.1×	1.3k 1.5×	289 0.8×	14 0.3×	52 1.0×	75	1.5k
Pavel Trojek Germany	8	1.2k 1.1×	1.2k 1.5×	225 0.6×	10 0.2×	56 1.0×	19	1.4k
Miroslav Ježek Czechia	20	1.1k 0.9×	960 1.2×	112 0.3×	17 0.3×	30 0.6×	65	1.2k
Han-Sen Zhong China	12	896 0.8×	836 1.0×	230 0.6×	9 0.2×	57 1.1×	22	1.1k

Countries citing papers authored by Daniel J. Brod

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Brod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Brod. 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 Daniel J. Brod. The network helps show where Daniel J. Brod may publish in the future.

Co-authorship network of co-authors of Daniel J. Brod

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

All Works

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20 of 20 papers shown

1.

Brod, Daniel J., et al.. (2024). Two-Particle Scattering on Non-Translation Invariant Line Lattices. Quantum. 8. 1308–1308.

2.

Brod, Daniel J., et al.. (2024). Fermionic anyons: Entanglement and quantum computation from a resource-theoretic perspective. Physical review. A. 110(1). 1 indexed citations

3.

Oszmaniec, Michał, Daniel J. Brod, & Ernesto F. Galvão. (2024). Measuring relational information between quantum states, and applications. New Journal of Physics. 26(1). 13053–13053. 16 indexed citations

4.

Spagnolo, Nicolò, Daniel J. Brod, Ernesto F. Galvão, & Fabio Sciarrino. (2023). Non-linear Boson Sampling. npj Quantum Information. 9(1). 8 indexed citations

5.

Chaves, Rafael, et al.. (2023). Quantifying quantum causal influences. Physical review. A. 108(2). 3 indexed citations

6.

Galvão, Ernesto F., et al.. (2021). Gaussian optical networks for one-dimensional anyons. Physical review. A. 104(2). 1 indexed citations

7.

Brod, Daniel J.. (2021). Bosons vs. Fermions – A computational complexity perspective. SHILAP Revista de lepidopterología. 43(suppl 1). 1 indexed citations

8.

Qi, Haoyu, Daniel J. Brod, Nicolás Quesada, & Raúl García−Patrón. (2020). Regimes of Classical Simulability for Noisy Gaussian Boson Sampling. Physical Review Letters. 124(10). 100502–100502. 51 indexed citations

9.

Galvão, Ernesto F. & Daniel J. Brod. (2020). Quantum and classical bounds for two-state overlaps. Physical review. A. 101(6). 17 indexed citations

10.

Brod, Daniel J., Ernesto F. Galvão, Niko Viggianiello, et al.. (2019). Witnessing Genuine Multiphoton Indistinguishability. Physical Review Letters. 122(6). 63602–63602. 23 indexed citations

11.

Brod, Daniel J., Ernesto F. Galvão, Andrea Crespi, et al.. (2019). Photonic implementation of boson sampling: a review. Advanced Photonics. 1(3). 1–1. 83 indexed citations

12.

Viggianiello, Niko, Fulvio Flamini, Marco Bentivegna, et al.. (2018). Optimal photonic indistinguishability tests in multimode networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 13 indexed citations

13.

Brod, Daniel J. & Joshua Combes. (2016). Passive CPHASE Gate via Cross-Kerr Nonlinearities. Physical Review Letters. 117(8). 80502–80502. 58 indexed citations

14.

Bentivegna, Marco, Nicolò Spagnolo, Chiara Vitelli, et al.. (2015). Experimental scattershot boson sampling. Science Advances. 1(3). e1400255–e1400255. 150 indexed citations

15.

Bentivegna, Marco, Nicolò Spagnolo, Chiara Vitelli, et al.. (2015). Experimental Realization of Scattershot Boson Sampling. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations

16.

Aaronson, Scott & Daniel J. Brod. (2015). BosonSampling with Lost Photons. Physical Review Letters. 12 indexed citations

17.

Brod, Daniel J. & Andrew M. Childs. (2014). The computational power of matchgates and the XY interaction on arbitrary graphs. Quantum Information and Computation. 14(11). 901–916. 9 indexed citations

18.

Spagnolo, Nicolò, Chiara Vitelli, Marco Bentivegna, et al.. (2014). Experimental validation of photonic boson sampling. Nature Photonics. 8(8). 615–620. 202 indexed citations

19.

Spagnolo, Nicolò, Chiara Vitelli, Linda Sansoni, et al.. (2013). General Rules for Bosonic Bunching in Multimode Interferometers. Physical Review Letters. 111(13). 130503–130503. 50 indexed citations

20.

Brod, Daniel J. & Ernesto F. Galvão. (2011). Extending matchgates into universal quantum computation. Physical Review A. 84(2). 19 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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