Jonathan Scarlett

1.9k total citations
84 papers, 812 citations indexed

About

Jonathan Scarlett is a scholar working on Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jonathan Scarlett has authored 84 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 34 papers in Molecular Biology and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Jonathan Scarlett's work include Wireless Communication Security Techniques (29 papers), SARS-CoV-2 detection and testing (25 papers) and Advanced biosensing and bioanalysis techniques (24 papers). Jonathan Scarlett is often cited by papers focused on Wireless Communication Security Techniques (29 papers), SARS-CoV-2 detection and testing (25 papers) and Advanced biosensing and bioanalysis techniques (24 papers). Jonathan Scarlett collaborates with scholars based in Singapore, United Kingdom and Switzerland. Jonathan Scarlett's co-authors include Albert Guillén i Fàbregas, Alfonso García Martínez, Volkan Cevher, Matthew Aldridge, Oliver Johnson, Ilija Bogunovic, Subhrakanti Dey, Jamie Evans, Anelia Somekh-Baruch and Zhaoqiang Liu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Jonathan Scarlett

79 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Scarlett Singapore 15 346 313 251 229 185 84 812
Mahdi Cheraghchi United States 11 73 0.2× 93 0.3× 115 0.5× 94 0.4× 144 0.8× 47 355
Soheil Mohajer United States 15 587 1.7× 568 1.8× 65 0.3× 45 0.2× 200 1.1× 96 957
Mayank Bakshi Hong Kong 13 444 1.3× 236 0.8× 78 0.3× 52 0.2× 291 1.6× 42 595
Sidharth Jaggi Hong Kong 21 1.8k 5.1× 1.9k 6.1× 284 1.1× 200 0.9× 664 3.6× 114 2.6k
Ely Porat Israel 17 53 0.2× 241 0.8× 270 1.1× 41 0.2× 594 3.2× 100 874
Mihai Pǎtraşcu United States 20 143 0.4× 284 0.9× 131 0.5× 22 0.1× 544 2.9× 57 1.0k
Ayfer Özgür United States 16 604 1.7× 523 1.7× 68 0.3× 51 0.2× 110 0.6× 93 834
Robert R. Singleton United States 5 313 0.9× 252 0.8× 156 0.6× 108 0.5× 220 1.2× 12 790
Tadeusz A. Wysocki Australia 17 1.1k 3.1× 1.5k 4.8× 100 0.4× 37 0.2× 67 0.4× 157 2.0k
Tadashi Wadayama Japan 13 467 1.3× 382 1.2× 56 0.2× 8 0.0× 189 1.0× 101 725

Countries citing papers authored by Jonathan Scarlett

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Scarlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Scarlett

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Scarlett. A scholar is included among the top collaborators of Jonathan Scarlett 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 Jonathan Scarlett. Jonathan Scarlett 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.
Scarlett, Jonathan, et al.. (2025). Optimal Non-Adaptive Group Testing with One-Sided Error Guarantees. 1–6. 1 indexed citations
2.
Scarlett, Jonathan, et al.. (2024). Mismatched Rate-Distortion Theory: Ensembles, Bounds, and General Alphabets. IEEE Transactions on Information Theory. 70(3). 1525–1539. 1 indexed citations
3.
Scarlett, Jonathan, et al.. (2023). Non-adaptive algorithms for threshold group testing with consecutive positives. Information and Inference A Journal of the IMA. 12(3). 1173–1192. 1 indexed citations
4.
Scarlett, Jonathan, et al.. (2022). Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms. IEEE Transactions on Information Theory. 68(5). 3253–3280. 8 indexed citations
5.
Scarlett, Jonathan, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, & Yonina C. Eldar. (2022). Theoretical Perspectives on Deep Learning Methods in Inverse Problems. IEEE Journal on Selected Areas in Information Theory. 3(3). 433–453. 17 indexed citations
6.
Scarlett, Jonathan, et al.. (2021). An Analysis of the DD Algorithm for Group Testing with Size-Constrained Tests. 1967–1972. 2 indexed citations
7.
Scarlett, Jonathan, et al.. (2020). Non-Adaptive Group Testing in the Linear Regime: Strong Converse and Approximate Recovery. arXiv (Cornell University). 2 indexed citations
8.
Scarlett, Jonathan, Albert Guillén i Fàbregas, Anelia Somekh-Baruch, & Alfonso García Martínez. (2020). Information-Theoretic Foundations of Mismatched Decoding. arXiv (Cornell University). 17(2-3). 149–401. 24 indexed citations
9.
Scarlett, Jonathan, et al.. (2020). Near-Optimal Sparse Adaptive Group Testing. 1420–1425. 4 indexed citations
10.
Liu, Zhaoqiang & Jonathan Scarlett. (2020). Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models. IEEE Journal on Selected Areas in Information Theory. 1(1). 292–303. 15 indexed citations
11.
Scarlett, Jonathan. (2019). An Efficient Algorithm for Capacity-Approaching Noisy Adaptive Group Testing. 2679–2683. 8 indexed citations
12.
Scarlett, Jonathan, Ilija Bogunovic, & Volkan Cevher. (2019). Overlapping Multi-Bandit Best Arm Identification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2544–2548. 7 indexed citations
13.
Aldridge, Matthew, Oliver Johnson, & Jonathan Scarlett. (2019). Group Testing: An Information Theory Perspective. Bristol Research (University of Bristol). 15(3-4). 196–392. 95 indexed citations
14.
Scarlett, Jonathan & Volkan Cevher. (2017). Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
15.
Scarlett, Jonathan & Volkan Cevher. (2017). Lower Bounds on Active Learning for Graphical Model Selection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 55–64. 2 indexed citations
16.
Scarlett, Jonathan, Alfonso García Martínez, & Albert Guillén i Fàbregas. (2017). Expurgated joint source-channel coding bounds and error exponents. 908–912. 1 indexed citations
17.
Scarlett, Jonathan & Volkan Cevher. (2016). Converse bounds for noisy group testing with arbitrary measurement matrices. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2868–2872. 11 indexed citations
18.
Aldridge, Matthew, Oliver Johnson, & Jonathan Scarlett. (2016). Improved group testing rates with constant column weight designs. arXiv (Cornell University). 1381–1385. 6 indexed citations
19.
Scarlett, Jonathan, Alfonso García Martínez, & Albert Guillén i Fàbregas. (2013). Mismatched Decoding: Finite-Length Bounds, Error Exponents and Approximations. arXiv (Cornell University). 8 indexed citations
20.
Scarlett, Jonathan, Alfonso García Martínez, & Albert Guillén i Fàbregas. (2012). Ensemble-tight error exponents for mismatched decoders. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1951–1958. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mahdi Cheraghchi Breakdown of academic impact, for papers by Soheil Mohajer Breakdown of academic impact, for papers by Mayank Bakshi Breakdown of academic impact, for papers by Sidharth Jaggi Breakdown of academic impact, for papers by Ely Porat Breakdown of academic impact, for papers by Mihai Pǎtraşcu Breakdown of academic impact, for papers by Ayfer Özgür Breakdown of academic impact, for papers by Robert R. Singleton Breakdown of academic impact, for papers by Tadeusz A. Wysocki Breakdown of academic impact, for papers by Tadashi Wadayama
Rankless by CCL
2026