Lana Sheridan

830 total citations
11 papers, 495 citations indexed

About

Lana Sheridan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Lana Sheridan has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Lana Sheridan's work include Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum Mechanics and Applications (6 papers). Lana Sheridan is often cited by papers focused on Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum Mechanics and Applications (6 papers). Lana Sheridan collaborates with scholars based in Singapore, Canada and Portugal. Lana Sheridan's co-authors include Valerio Scarani, Sougato Bose, Yasser Omar, Nikola Paunković, Jean-Daniel Bancal, Yimin Wang, Jiří Minář, Lê Phuc Thinh, Dmitri Maslov and Michele Mosca and has published in prestigious journals such as Physical Review A, New Journal of Physics and Journal of Physics A Mathematical and Theoretical.

In The Last Decade

Lana Sheridan

10 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lana Sheridan Singapore	8	450	399	50	34	24	11	495
Jonathan Allcock China	10	305 0.7×	224 0.6×	40 0.8×	15 0.4×	59 2.5×	20	374
Abhinav Deshpande United States	8	309 0.7×	205 0.5×	51 1.0×	34 1.0×	20 0.8×	18	359
Sébastien Designolle Switzerland	12	432 1.0×	422 1.1×	25 0.5×	29 0.9×	53 2.2×	20	490
Breno Marques Brazil	12	346 0.8×	329 0.8×	15 0.3×	41 1.2×	28 1.2×	24	398
Kai Redeker Germany	4	390 0.9×	407 1.0×	12 0.2×	39 1.1×	30 1.3×	6	464
Masaki Owari Japan	10	471 1.0×	453 1.1×	33 0.7×	27 0.8×	17 0.7×	24	538
Vladyslav C. Usenko Czechia	15	737 1.6×	674 1.7×	22 0.4×	75 2.2×	17 0.7×	40	787
Volodymyr Sivak United States	7	495 1.1×	407 1.0×	28 0.6×	63 1.9×	17 0.7×	11	578
Lê Phuc Thinh Singapore	11	421 0.9×	431 1.1×	24 0.5×	11 0.3×	44 1.8×	20	496
Juan Bermejo-Vega Germany	10	347 0.8×	302 0.8×	52 1.0×	26 0.8×	38 1.6×	16	398

Countries citing papers authored by Lana Sheridan

Since Specialization

Citations

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

Fields of papers citing papers by Lana Sheridan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lana Sheridan

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

All Works

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11 of 11 papers shown

Bancal, Jean-Daniel, Lana Sheridan, & Valerio Scarani. (2014). More randomness from the same data. New Journal of Physics. 16(3). 33011–33011. 75 indexed citations

Thinh, Lê Phuc, Lana Sheridan, & Valerio Scarani. (2013). Properties of the random seed input to Bell tests. arXiv (Cornell University). 1 indexed citations

Thinh, Lê Phuc, Lana Sheridan, & Valerio Scarani. (2013). Bell tests with min-entropy sources. Physical Review A. 87(6). 24 indexed citations

Thinh, Lê Phuc, Lana Sheridan, & Valerio Scarani. (2012). TOMOGRAPHIC QUANTUM CRYPTOGRAPHY PROTOCOLS ARE REFERENCE FRAME INDEPENDENT. International Journal of Quantum Information. 10(3). 1250035–1250035. 11 indexed citations

Thinh, Lê Phuc, Lana Sheridan, & Valerio Scarani. (2011). Bounds for reference-frame independent protocols in quantum cryptography using generalized uncertainty relations. arXiv (Cornell University). 1 indexed citations

Yang, Tzyh Haur, Miguel Navascués, Lana Sheridan, & Valerio Scarani. (2011). Quantum Bell inequalities from macroscopic locality. Physical Review A. 83(2). 8 indexed citations

Wang, Yimin, Jiří Minář, Lana Sheridan, & Valerio Scarani. (2011). Efficient excitation of a two-level atom by a single photon in a propagating mode. Physical Review A. 83(6). 75 indexed citations

Sheridan, Lana & Valerio Scarani. (2010). Security proof for quantum key distribution using qudit systems. Physical Review A. 82(3). 184 indexed citations

Sheridan, Lana, Dmitri Maslov, & Michele Mosca. (2009). Approximating fractional time quantum evolution. Journal of Physics A Mathematical and Theoretical. 42(18). 185302–185302. 14 indexed citations

10.

Sheridan, Lana, Nikola Paunković, Yasser Omar, & Sougato Bose. (2006). DISCRETE TIME QUANTUM WALK ON A LINE WITH TWO PARTICLES. International Journal of Quantum Information. 4(3). 573–583. 4 indexed citations

11.

Omar, Yasser, Nikola Paunković, Lana Sheridan, & Sougato Bose. (2006). Quantum walk on a line with two entangled particles. Physical Review A. 74(4). 98 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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