D. Main

628 total citations · 2 hit papers
8 papers, 315 citations indexed

About

D. Main is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, D. Main has authored 8 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in D. Main's work include Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (4 papers) and Quantum Mechanics and Applications (4 papers). D. Main is often cited by papers focused on Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (4 papers) and Quantum Mechanics and Applications (4 papers). D. Main collaborates with scholars based in United Kingdom, France and Switzerland. D. Main's co-authors include D. P. Nadlinger, P. Drmota, R. Srinivas, B. C. Nichol, G. Araneda, C. J. Ballance, David Lucas, Renato Renner, Nicolas Sangouard and Jean-Daniel Bancal and has published in prestigious journals such as Nature, Physical Review Letters and Optics Letters.

In The Last Decade

D. Main

7 papers receiving 303 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.

Experimental quantum key distribution certified by Bell's theorem

2022 143 citations D. P. Nadlinger, P. Drmota et al. Nature profile →
Distributed quantum computing across an optical network link

2025 36 citations D. Main, P. Drmota et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Main United Kingdom	7	251	248	25	12	6	8	315
B. C. Nichol United Kingdom	5	234 0.9×	241 1.0×	25 1.0×	12 1.0×	6 1.0×	6	297
Xiao‐Fan Xu China	5	326 1.3×	272 1.1×	22 0.9×	17 1.4×	10 1.7×	11	379
G. Khoury United States	6	288 1.1×	268 1.1×	34 1.4×	13 1.1×	13 2.2×	10	325
Martin Meraner Austria	6	260 1.0×	274 1.1×	43 1.7×	14 1.2×	6 1.0×	7	331
Kirill Lakhmanskiy Russia	6	243 1.0×	210 0.8×	45 1.8×	5 0.4×	7 1.2×	13	312
Kara Maller United States	5	449 1.8×	364 1.5×	20 0.8×	8 0.7×	8 1.3×	5	473
Bryan Gard United States	8	230 0.9×	245 1.0×	54 2.2×	16 1.3×	8 1.3×	16	314
W. A. T. Nogueira Brazil	7	292 1.2×	285 1.1×	40 1.6×	12 1.0×	6 1.0×	13	332
Jacob C. Curtis United States	7	176 0.7×	181 0.7×	32 1.3×	4 0.3×	5 0.8×	8	234
Christopher S. Wang United States	8	334 1.3×	353 1.4×	37 1.5×	5 0.4×	4 0.7×	10	407

Countries citing papers authored by D. Main

Since Specialization

Citations

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

Fields of papers citing papers by D. Main

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Main

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Main, D., P. Drmota, D. P. Nadlinger, et al.. (2025). Distributed quantum computing across an optical network link. Nature. 638(8050). 383–388. 36 indexed citations breakdown →

2.

Drmota, P., D. Main, G. Araneda, et al.. (2025). Experimental Quantum Advantage in the Odd-Cycle Game. Physical Review Letters. 134(7). 70201–70201.

3.

Drmota, P., D. P. Nadlinger, D. Main, et al.. (2024). Verifiable Blind Quantum Computing with Trapped Ions and Single Photons. Physical Review Letters. 132(15). 150604–150604. 14 indexed citations

4.

Drmota, P., D. Main, D. P. Nadlinger, et al.. (2023). Robust Quantum Memory in a Trapped-Ion Quantum Network Node. Physical Review Letters. 130(9). 90803–90803. 39 indexed citations

5.

Nadlinger, D. P., P. Drmota, B. C. Nichol, et al.. (2022). Experimental quantum key distribution certified by Bell's theorem. Nature. 607(7920). 682–686. 143 indexed citations breakdown →

6.

Nichol, B. C., R. Srinivas, D. P. Nadlinger, et al.. (2022). An elementary quantum network of entangled optical atomic clocks. Nature. 609(7928). 689–694. 64 indexed citations

7.

Main, D., et al.. (2021). Room temperature atomic frequency comb storage for light. Optics Letters. 46(12). 2960–2960. 8 indexed citations

8.

Main, D., et al.. (2021). Preparing narrow velocity distributions for quantum memories in room-temperature alkali-metal vapors. Physical review. A. 103(4). 11 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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