I. Stancu

13.6k total citations
19 papers, 548 citations indexed

About

I. Stancu is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Political Science and International Relations. According to data from OpenAlex, I. Stancu has authored 19 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 2 papers in Atomic and Molecular Physics, and Optics and 1 paper in Political Science and International Relations. Recurrent topics in I. Stancu's work include Neutrino Physics Research (12 papers), Particle physics theoretical and experimental studies (11 papers) and Astrophysics and Cosmic Phenomena (9 papers). I. Stancu is often cited by papers focused on Neutrino Physics Research (12 papers), Particle physics theoretical and experimental studies (11 papers) and Astrophysics and Cosmic Phenomena (9 papers). I. Stancu collaborates with scholars based in United States, Mexico and Germany. I. Stancu's co-authors include P. M. Stevenson, Byron P. Roe, G. McGregor, Ji Zhu, Yong Liu, Dharam Vir Ahluwalia, G. Rajasekaran, Ernest Ma, Yong Liu and Haijun Yang and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, The European Physical Journal C and Progress in Particle and Nuclear Physics.

In The Last Decade

I. Stancu

19 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Stancu United States 8 359 68 66 39 27 19 548
Byron P. Roe United States 15 393 1.1× 103 1.5× 58 0.9× 37 0.9× 7 0.3× 26 710
J. Seixas Switzerland 14 356 1.0× 50 0.7× 48 0.7× 19 0.5× 55 2.0× 66 556
Anyi Li China 16 246 0.7× 47 0.7× 92 1.4× 13 0.3× 108 4.0× 46 660
I. Lupelli United Kingdom 17 383 1.1× 42 0.6× 25 0.4× 109 2.8× 4 0.1× 61 647
Liu Lianshou China 11 376 1.0× 13 0.2× 32 0.5× 31 0.8× 77 2.9× 81 546
Hong Pi United States 11 381 1.1× 75 1.1× 13 0.2× 17 0.4× 2 0.1× 16 554
В. В. Иванов Russia 10 51 0.1× 27 0.4× 54 0.8× 7 0.2× 7 0.3× 100 418
Itamar Reis Israel 8 122 0.3× 35 0.5× 53 0.8× 219 5.6× 45 1.7× 16 399
Thomas Reiter Germany 10 1.0k 2.9× 59 0.9× 110 1.7× 289 7.4× 5 0.2× 15 1.2k
Y.-M. Kim South Korea 11 54 0.2× 71 1.0× 41 0.6× 126 3.2× 9 0.3× 43 361

Countries citing papers authored by I. Stancu

Since Specialization
Citations

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

Fields of papers citing papers by I. Stancu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Stancu

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

All Works

19 of 19 papers shown
1.
Stancu, I., et al.. (2019). Proiecții privind sustenabilitatea sistemului de pensii în România. RePEc: Research Papers in Economics. 6(4). 50–67. 1 indexed citations
2.
Stancu, I., et al.. (2010). EMBEDDED BANKING SECURITY LEVEL INDEX AND AIMED CONTROL TEMPLATE FOR BANKING SYSTEMS — IMPLEMENTATION EVALUATION USING THE VROOM-YETTON-JAGO CONTINGENCY MODEL. RePEc: Research Papers in Economics. 2(2). 77–82. 2 indexed citations
3.
Patterson, R. B., E. Laird, Y. Liu, et al.. (2009). The extended-track event reconstruction for MiniBooNE. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 608(1). 206–224. 20 indexed citations
4.
Liu, Yong & I. Stancu. (2007). Cascade training technique for particle identification. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 578(1). 315–321. 2 indexed citations
5.
Stancu, I.. (2006). Low-Energy Neutrino Cross-Section Measurements at SNS. Nuclear Physics B - Proceedings Supplements. 155(1). 251–253. 1 indexed citations
6.
Stancu, I.. (2006). Status of the MiniBooNE Experiment. Nuclear Physics B - Proceedings Supplements. 155(1). 164–165. 2 indexed citations
7.
Roe, Byron P., et al.. (2005). Boosted decision trees as an alternative to artificial neural networks for particle identification. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 543(2-3). 577–584. 266 indexed citations
8.
Roe, Byron P., et al.. (2004). Boosted Decision Trees, an Alternative to Artificial Neural Networks. arXiv (Cornell University). 29 indexed citations
9.
Stancu, I.. (2000). The future of the short-baseline neutrino oscillation experiments in the US: MiniBooNE and ORLaND. Nuclear Physics B - Proceedings Supplements. 85(1-3). 129–134. 2 indexed citations
10.
Ma, Ernest, G. Rajasekaran, & I. Stancu. (2000). Hierarchical four-neutrino oscillations with a decay option. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 61(7). 21 indexed citations
11.
Stancu, I.. (2000). Neutrino oscillations with LSND. Nuclear Physics B - Proceedings Supplements. 85(1-3). 78–83. 3 indexed citations
12.
Stancu, I. & Dharam Vir Ahluwalia. (1999). L/E-Flatness of the Electron-Like Event Ratio in Super-Kamiokande and a Degeneracy in Neutrino Masses. 50 indexed citations
13.
Stancu, I.. (1999). Further evidence for neutrino oscillations from LSND: the ν → ν decay-in-flight channel. Nuclear Physics B - Proceedings Supplements. 70(1-3). 207–209. 1 indexed citations
14.
Stancu, I.. (1999). CAN THE SUPER-KAMIOKANDE ATMOSPHERIC DATA PREDICT THE SOLAR NEUTRINO DEFICIT?. Modern Physics Letters A. 14(10n11). 689–700. 3 indexed citations
15.
Stancu, I.. (1998). Further evidence for neutrino oscillations from LSND: the νμ → νe decay-in-flight channel. Progress in Particle and Nuclear Physics. 40. 167–168. 1 indexed citations
16.
Stancu, I., et al.. (1996). Gaussian effective potential for the U(1) Higgs model. Zeitschrift für Physik C. 70(2). 307–319. 21 indexed citations
17.
Ritschel, Uwe, I. Stancu, & P. M. Stevenson. (1992). Unconventional large-N limit of the Gaussian effective potential and the phase transition in λφ 4 theory. The European Physical Journal C. 54(4). 627–634. 2 indexed citations
18.
Stancu, I.. (1991). Post-Gaussian effective potential in scalar and scalar-fermion theories. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 43(4). 1283–1299. 34 indexed citations
19.
Stancu, I. & P. M. Stevenson. (1990). Second-order corrections to the Gaussian effective potential of λφ4theory. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 42(8). 2710–2725. 87 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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