Ayan Paul

2.3k total citations
39 papers, 859 citations indexed

About

Ayan Paul is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Astronomy and Astrophysics. According to data from OpenAlex, Ayan Paul has authored 39 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nuclear and High Energy Physics, 7 papers in Computer Networks and Communications and 5 papers in Astronomy and Astrophysics. Recurrent topics in Ayan Paul's work include Particle physics theoretical and experimental studies (23 papers), Quantum Chromodynamics and Particle Interactions (14 papers) and Cognitive Radio Networks and Spectrum Sensing (6 papers). Ayan Paul is often cited by papers focused on Particle physics theoretical and experimental studies (23 papers), Quantum Chromodynamics and Particle Interactions (14 papers) and Cognitive Radio Networks and Spectrum Sensing (6 papers). Ayan Paul collaborates with scholars based in Germany, Italy and United States. Ayan Paul's co-authors include Mauro Valli, Marco Fedele, L. Silvestrini, E. Franco, M. Ciuchini, Aleksandr Azatov, Christophe Grojean, I. I. Bigi, Stefan Recksiegel and Antônio Coutinho and has published in prestigious journals such as Scientific Reports, Journal of High Energy Physics and New Journal of Physics.

In The Last Decade

Ayan Paul

36 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayan Paul Germany 16 796 100 64 25 14 39 859
Ryo Takahashi Japan 12 299 0.4× 166 1.7× 22 0.3× 52 2.1× 43 3.1× 65 443
Giancarlo Ferrera Italy 21 1.6k 2.1× 118 1.2× 64 1.0× 37 1.5× 25 1.8× 46 1.7k
Giuseppe Bozzi Italy 22 1.4k 1.8× 152 1.5× 54 0.8× 26 1.0× 30 2.1× 32 1.5k
Pier Francesco Monni Switzerland 24 1.4k 1.8× 104 1.0× 49 0.8× 16 0.6× 40 2.9× 44 1.4k
K. Hamilton United Kingdom 11 1.0k 1.3× 87 0.9× 40 0.6× 23 0.9× 34 2.4× 21 1.1k
Lars Hofer Germany 16 1.3k 1.6× 107 1.1× 96 1.5× 36 1.4× 16 1.1× 26 1.3k
Nhan Viet Tran United States 12 688 0.9× 70 0.7× 96 1.5× 79 3.2× 44 3.1× 45 859
Luca Rottoli Switzerland 23 1.6k 2.1× 87 0.9× 62 1.0× 31 1.2× 33 2.4× 43 1.7k
Sandro Uccirati Italy 19 1.1k 1.3× 174 1.7× 40 0.6× 48 1.9× 22 1.6× 42 1.1k
Andrea Banfi United Kingdom 20 1.3k 1.6× 92 0.9× 52 0.8× 16 0.6× 34 2.4× 42 1.3k

Countries citing papers authored by Ayan Paul

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayan Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Ayan Paul. A scholar is included among the top collaborators of Ayan Paul 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 Ayan Paul. Ayan Paul 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.
Bentley, Ian, J. M. Tedder, M. Gebran, & Ayan Paul. (2025). High precision binding energies from physical-feature-instructed machine learning. Physical review. C. 111(3). 2 indexed citations
2.
Bishara, Fady, Ayan Paul, & Jennifer Dy. (2024). High-precision regressors for particle physics. Scientific Reports. 14(1). 5294–5294.
3.
Ciuchini, M., Marco Fedele, E. Franco, et al.. (2023). Constraints on lepton universality violation from rare B decays. Physical review. D. 107(5). 67 indexed citations
4.
Paul, Ayan, et al.. (2023). Revisiting and redefining return rate for determination of the precise growth status of a species. Journal of Biological Physics. 49(2). 195–234. 1 indexed citations
5.
Ciuchini, M., Marco Fedele, E. Franco, et al.. (2023). Charming penguins and lepton universality violation in $$\varvec{b \rightarrow s \ell ^+ \ell ^-}$$ decays. The European Physical Journal C. 83(1). 21 indexed citations
6.
Paul, Ayan, et al.. (2022). Causal connections between socioeconomic disparities and COVID-19 in the USA. Scientific Reports. 12(1). 15827–15827. 8 indexed citations
7.
Grojean, Christophe, Ayan Paul, Z. Qian, & Inga Strümke. (2022). Lessons on interpretable machine learning from particle physics. Nature Reviews Physics. 4(5). 284–286. 24 indexed citations
8.
Paul, Ayan, et al.. (2021). Automated contact tracing: a game of big numbers in the time of COVID-19. Journal of The Royal Society Interface. 18(175). 20200954–20200954. 7 indexed citations
9.
Grojean, Christophe, Ayan Paul, & Z. Qian. (2021). Resurrecting $$ b\overline{b}h $$ with kinematic shapes. Journal of High Energy Physics. 2021(4). 21 indexed citations
10.
Paul, Ayan, et al.. (2020). Socio-Economic Disparities and COVID-19 in the USA. SSRN Electronic Journal. 7 indexed citations
11.
Buccella, F., Ayan Paul, & Pietro Santorelli. (2019). SU(3)F breaking through final state interactions and CP asymmetries in D→PP decays. Physical review. D. 99(11). 20 indexed citations
12.
Blas, Jorge de, Gauthier Durieux, Christophe Grojean, Jiayin Gu, & Ayan Paul. (2019). On the future of Higgs, electroweak and diboson measurements at lepton colliders. Journal of High Energy Physics. 2019(12). 61 indexed citations
13.
Paul, Ayan, et al.. (2018). Reinforcement learning‐based negotiation for spectrum micro‐trading framework. IET Networks. 7(6). 435–444. 2 indexed citations
14.
Ciuchini, M., Marco Fedele, E. Franco, et al.. (2017). Knowns and Unknowns in the Predictions for B→K⁎μ+μ−. Nuclear and Particle Physics Proceedings. 285-286. 45–49. 3 indexed citations
15.
Ciuchini, M., Antônio Coutinho, Marco Fedele, et al.. (2017). On flavourful Easter eggs for New Physics hunger and lepton flavour universality violation. The European Physical Journal C. 77(10). 688–688. 147 indexed citations
16.
Azatov, Aleksandr, Christophe Grojean, Ayan Paul, & Ennio Salvioni. (2015). Taming the off-shell Higgs boson. Journal of Experimental and Theoretical Physics. 120(3). 354–368. 45 indexed citations
17.
Sengupta, Anirvan M., Ayan Paul, & Madhubanti Maitra. (2014). Simulated annealing based solution for limited spectrum availability in composite wireless network. 16. 2571–2577.
18.
Azatov, Aleksandr & Ayan Paul. (2014). Probing Higgs couplings with high p T Higgs production. Journal of High Energy Physics. 2014(1). 65 indexed citations
19.
Paul, Ayan, et al.. (2013). A sustainable and collaborative strategy for dynamic spectrum management in next generation wireless networks. Engineering Applications of Artificial Intelligence. 26(5-6). 1620–1630. 3 indexed citations
20.
Paul, Ayan, I. I. Bigi, & Stefan Recksiegel. (2010). D0→γγandD0→μ+μ−rates on an unlikely impact of the littlest Higgs model withTparity. Physical review. D. Particles, fields, gravitation, and cosmology. 82(9). 12 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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