Hayk Sargsyan

460 total citations
12 papers, 222 citations indexed

About

Hayk Sargsyan is a scholar working on Nuclear and High Energy Physics, Economics and Econometrics and Political Science and International Relations. According to data from OpenAlex, Hayk Sargsyan has authored 12 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 3 papers in Economics and Econometrics and 2 papers in Political Science and International Relations. Recurrent topics in Hayk Sargsyan's work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (5 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). Hayk Sargsyan is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (5 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). Hayk Sargsyan collaborates with scholars based in Switzerland, Armenia and Italy. Hayk Sargsyan's co-authors include Massimiliano Grazzini, Stefano Catani, Simone Devoto, Stefan Kallweit, Javier Mazzitelli, A. Torre, Roberto Bonciani, Marco Egbring, Gerd A. Kullak‐Ublick and Małgorzata Roos and has published in prestigious journals such as Journal of High Energy Physics, BMC Health Services Research and Physical review. D.

In The Last Decade

Hayk Sargsyan

10 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hayk Sargsyan Switzerland 7 190 11 11 9 8 12 222
Peter Stockinger France 7 307 1.6× 17 1.5× 5 0.5× 4 0.4× 4 0.5× 33 361
Ilya Feige United States 6 165 0.9× 18 1.6× 11 1.0× 2 0.2× 3 0.4× 9 186
R. McNulty Ireland 4 372 2.0× 19 1.7× 8 0.7× 2 0.2× 7 0.9× 9 380
Ryan Gavin Switzerland 6 313 1.6× 37 3.4× 12 1.1× 3 0.3× 9 1.1× 8 322
M. V. Tokarev Russia 9 216 1.1× 9 0.8× 12 1.1× 10 1.1× 36 227
Riccardo Abbate Italy 6 331 1.7× 17 1.5× 5 0.5× 2 0.2× 2 0.3× 7 350
C. Galbiati United States 7 84 0.4× 7 0.6× 6 0.5× 2 0.2× 4 0.5× 24 127
S. Söldner‐Rembold United Kingdom 6 119 0.6× 15 1.4× 7 0.6× 2 0.2× 2 0.3× 20 128
Yang-Ting Chien United States 11 453 2.4× 23 2.1× 14 1.3× 2 0.2× 7 0.9× 21 479
Markus Finkemeier Germany 13 340 1.8× 4 0.4× 12 1.1× 24 2.7× 19 370

Countries citing papers authored by Hayk Sargsyan

Since Specialization
Citations

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

Fields of papers citing papers by Hayk Sargsyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayk Sargsyan

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

All Works

12 of 12 papers shown
1.
Sargsyan, Hayk, et al.. (2024). Sustainable Development Transformation of the Republic of Armenia: Context and Perception. 15(1 (43)). 4–23. 3 indexed citations
2.
3.
Jödicke, Annika M., et al.. (2019). Prediction of health care expenditure increase: how does pharmacotherapy contribute?. BMC Health Services Research. 19(1). 953–953. 14 indexed citations
4.
Catani, Stefano, Simone Devoto, Massimiliano Grazzini, et al.. (2019). Top-quark pair hadroproduction at next-to-next-to-leading order in QCD. Physical review. D. 99(5). 71 indexed citations
5.
Sargsyan, Hayk, et al.. (2019). Constitutional Traditions, Institutions, Behavioral Prerequisites and Well-being of Countries. Lomonosov Economics Journal. 2019(1). 30–49.
6.
Sargsyan, Hayk, et al.. (2018). A Nonlinear Autoregressive Scheme for Time Series Prediction via Artificial Neural Networks. Journal of Computer and Communications. 6(9). 14–23. 6 indexed citations
7.
8.
Catani, Stefano, Massimiliano Grazzini, & Hayk Sargsyan. (2018). Transverse-momentum resummation for top-quark pair production at the LHC. Zurich Open Repository and Archive (University of Zurich). 16 indexed citations
9.
Sargsyan, Hayk, et al.. (2018). Assessment of the Level of Constitutionalism in Transition Economies. Journal of Advanced Research in Law and Economics. 8(7). 2128–2128. 2 indexed citations
10.
Catani, Stefano, Massimiliano Grazzini, & Hayk Sargsyan. (2017). Azimuthal asymmetries in QCD hard scattering: infrared safe but divergent. Journal of High Energy Physics. 2017(6). 22 indexed citations
11.
Bonciani, Roberto, Stefano Catani, Massimiliano Grazzini, Hayk Sargsyan, & A. Torre. (2015). The $$q_T$$ q T subtraction method for top-quark production at hadron colliders. The European Physical Journal C. 75(12). 50 indexed citations
12.
Grazzini, Massimiliano & Hayk Sargsyan. (2013). Heavy-quark mass effects in Higgs boson production at the LHC. Zurich Open Repository and Archive (University of Zurich). 37 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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2026