S. Akar

19.6k total citations
11 papers, 88 citations indexed

About

S. Akar is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Infectious Diseases. According to data from OpenAlex, S. Akar has authored 11 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 1 paper in Computer Networks and Communications and 0 papers in Infectious Diseases. Recurrent topics in S. Akar's work include Particle physics theoretical and experimental studies (11 papers), High-Energy Particle Collisions Research (9 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). S. Akar is often cited by papers focused on Particle physics theoretical and experimental studies (11 papers), High-Energy Particle Collisions Research (9 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). S. Akar collaborates with scholars based in United States, France and United Kingdom. S. Akar's co-authors include Jure Zupan, S. Malvezzi, A. Cerri, L. Anderlini, B. C. Allanach, Wolfgang Altmannshofer, Jorge Martin Camalich, V. V. Gligorov, J. Alimena and M. Adinolfi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Journal of Physics Conference Series.

In The Last Decade

S. Akar

10 papers receiving 85 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Akar United States	5	87	5	4	4	2	11	88
R. Covarelli Italy	5	41 0.5×	5 1.0×	4 1.0×	3 0.8×	2 1.0×	7	45
J. K. K. Liu United Kingdom	4	52 0.6×	4 0.8×	5 1.3×	3 0.8×		9	59
A. Pranko United States	2	67 0.8×	8 1.6×	7 1.8×	2 0.5×	2 1.0×	3	68
A. Katre Switzerland	2	42 0.5×	4 0.8×	3 0.8×	4 1.0×		5	48
J. P. Lees France	5	70 0.8×	4 0.8×	5 1.3×	5 1.3×		11	74
M. T. Prim Germany	5	54 0.6×	4 0.8×	9 2.3×	5 1.3×	4 2.0×	13	56
F. R. Le Diberder Switzerland	2	90 1.0×	4 0.8×	2 0.5×	5 1.3×	1 0.5×	2	98
S. Malvezzi Italy	4	68 0.8×	7 1.4×	3 0.8×	3 0.8×	1 0.5×	16	69
C. A. Aidala Netherlands	6	77 0.9×	3 0.6×	10 2.5×	5 1.3×		8	78
Jean‐Loup Tastet Spain	5	66 0.8×	5 1.0×	11 2.8×	3 0.8×		7	76

Countries citing papers authored by S. Akar

Since Specialization

Citations

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

Fields of papers citing papers by S. Akar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Akar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Akar. A scholar is included among the top collaborators of S. Akar 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 S. Akar. S. Akar 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

Akar, S., Mohamed Elashri, R. B. Garg, et al.. (2024). Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC. SHILAP Revista de lepidopterología. 295. 9003–9003. 2 indexed citations

Akar, S., Gowtham Atluri, T. Boettcher, et al.. (2021). Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices. SHILAP Revista de lepidopterología. 251. 4012–4012. 1 indexed citations

Adeva, B., M. Adinolfi, C. Aidala, et al.. (2019). Search for CP violation through an amplitude analysis of $D^0 \to K^+ K^- \pi^+ \pi^-$ decays. Zurich Open Repository and Archive (University of Zurich). 5 indexed citations

Akar, S., et al.. (2019). The time-dependent CP asymmetry in B0 → Kresγ → π+π−$$ {K}_s^0\gamma $$ decays. Journal of High Energy Physics. 2019(9). 2 indexed citations

Adeva, B., M. Adinolfi, C. A. Aidala, et al.. (2019). Study of the $B^0\to \rho(770)^0 K^*(892)^0$ decay with an amplitude analysis of $B^0 \to (\pi^+ \pi^-) (K^+ \pi^-)$ decays. Zurich Open Repository and Archive (University of Zurich). 5 indexed citations

Beteta, C. Abellán, B. Adeva, M. Adinolfi, et al.. (2019). Measurement of CP observables in the process $B^0 → DK^{*0}$ with two- and four-body D decays. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations

Cerri, A., V. V. Gligorov, S. Malvezzi, et al.. (2018). Report from Working Group 4. 7. 867–1158. 46 indexed citations

Beteta, C. Abellán, B. Adeva, M. Adinolfi, et al.. (2018). LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 14 indexed citations

Adeva, B., M. Adinolfi, N. Serra, et al.. (2017). Study of charmonium production in ${b}$-hadron decays and first evidence for the decay ${{{B}} ^0_{{s}}} \!\rightarrow \phi \phi \phi $. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 11 indexed citations

10.

Akar, S.. (2014). The LHCb Upgrade. Journal of Physics Conference Series. 556. 12073–12073.

11.

Akar, S.. (2014). Penguin and rare decays in BABAR. Journal of Physics Conference Series. 556. 12047–12047. 1 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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