Gyula Samu

920 total citations · 2 hit papers
8 papers, 675 citations indexed

About

Gyula Samu is a scholar working on Atomic and Molecular Physics, and Optics, Algebra and Number Theory and Applied Mathematics. According to data from OpenAlex, Gyula Samu has authored 8 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Atomic and Molecular Physics, and Optics, 2 papers in Algebra and Number Theory and 2 papers in Applied Mathematics. Recurrent topics in Gyula Samu's work include Spectroscopy and Quantum Chemical Studies (2 papers), Analytic Number Theory Research (2 papers) and Mathematical functions and polynomials (2 papers). Gyula Samu is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (2 papers), Analytic Number Theory Research (2 papers) and Mathematical functions and polynomials (2 papers). Gyula Samu collaborates with scholars based in Hungary. Gyula Samu's co-authors include Mihály Kállay, Péter R. Nagy, Bence Hégely, P. Bernát Szabó, József Csóka, László Gyevi‐Nagy, Bence Ladóczki, Klára Petrov, Dávid Mester and Máté Farkas and has published in prestigious journals such as The Journal of Chemical Physics, Tetrahedron and The Journal of Physical Chemistry A.

In The Last Decade

Gyula Samu

8 papers receiving 664 citations

Hit Papers

The MRCC program system: Accurate quantum chemistry from ... 2020 2026 2022 2024 2020 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyula Samu Hungary 7 414 190 152 131 91 8 675
László Gyevi‐Nagy Hungary 9 410 1.0× 182 1.0× 154 1.0× 106 0.8× 103 1.1× 13 635
Bence Hégely Hungary 8 376 0.9× 147 0.8× 129 0.8× 83 0.6× 86 0.9× 12 613
Bence Ladóczki Hungary 5 506 1.2× 195 1.0× 180 1.2× 105 0.8× 106 1.2× 13 758
Ádám Ganyecz Hungary 10 285 0.7× 166 0.9× 105 0.7× 96 0.7× 64 0.7× 17 528
Dávid Mester Hungary 12 496 1.2× 241 1.3× 154 1.0× 106 0.8× 177 1.9× 25 820
Maria Demireva United States 16 259 0.6× 145 0.8× 257 1.7× 102 0.8× 86 0.9× 29 610
Xinyou Ma United States 12 296 0.7× 88 0.5× 153 1.0× 94 0.7× 66 0.7× 31 514
Nitai Sylvetsky Israel 9 520 1.3× 316 1.7× 193 1.3× 233 1.8× 158 1.7× 12 857
Nityananda Sahu India 11 399 1.0× 118 0.6× 200 1.3× 67 0.5× 126 1.4× 19 556
Golokesh Santra Israel 13 490 1.2× 292 1.5× 191 1.3× 203 1.5× 180 2.0× 19 859

Countries citing papers authored by Gyula Samu

Since Specialization
Citations

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

Fields of papers citing papers by Gyula Samu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyula Samu

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

All Works

8 of 8 papers shown
1.
Mester, Dávid, Péter R. Nagy, József Csóka, et al.. (2025). Overview of Developments in the MRCC Program System. The Journal of Physical Chemistry A. 129(8). 2086–2107. 22 indexed citations breakdown →
2.
Kállay, Mihály, Péter R. Nagy, Dávid Mester, et al.. (2020). The MRCC program system: Accurate quantum chemistry from water to proteins. The Journal of Chemical Physics. 152(7). 74107–74107. 366 indexed citations breakdown →
3.
Kirschweng, Balázs, Bence Hégely, Gyula Samu, et al.. (2018). Melt stabilization of PE with natural antioxidants: Comparison of rutin and quercetin. European Polymer Journal. 103. 228–237. 25 indexed citations
4.
Nagy, Péter R., Gyula Samu, & Mihály Kállay. (2018). Optimization of the Linear-Scaling Local Natural Orbital CCSD(T) Method: Improved Algorithm and Benchmark Applications. Journal of Chemical Theory and Computation. 14(8). 4193–4215. 136 indexed citations
5.
Rapi, Zsolt, Alajos Grűn, Gyula Samu, et al.. (2018). Asymmetric cyclopropanation reactions catalyzed by carbohydrate-based crown ethers. Tetrahedron. 74(27). 3512–3526. 21 indexed citations
6.
Samu, Gyula & Mihály Kállay. (2018). Efficient evaluation of the geometrical first derivatives of three-center Coulomb integrals. The Journal of Chemical Physics. 149(12). 124101–124101. 3 indexed citations
7.
Samu, Gyula & Mihály Kállay. (2017). Efficient evaluation of three-center Coulomb integrals. The Journal of Chemical Physics. 146(20). 204101–204101. 13 indexed citations
8.
Nagy, Péter R., Gyula Samu, & Mihály Kállay. (2016). An Integral-Direct Linear-Scaling Second-Order Møller–Plesset Approach. Journal of Chemical Theory and Computation. 12(10). 4897–4914. 89 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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