R. Moreno

37 total papers · 803 total citations
19 papers, 422 citations indexed

About

R. Moreno is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, R. Moreno has authored 19 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 6 papers in Artificial Intelligence and 6 papers in Materials Chemistry. Recurrent topics in R. Moreno's work include Magnetic confinement fusion research (10 papers), Fusion materials and technologies (5 papers) and Anomaly Detection Techniques and Applications (4 papers). R. Moreno is often cited by papers focused on Magnetic confinement fusion research (10 papers), Fusion materials and technologies (5 papers) and Anomaly Detection Techniques and Applications (4 papers). R. Moreno collaborates with scholars based in Spain, Italy and United Kingdom. R. Moreno's co-authors include A. Murari, J. Vega, A. Pereira, S. Dormido-Canto, David Moreno-Salinas, Joaquín Aranda Almansa, Juan Manuel López, Shmuel Osovski, M. Ruíz and Jesús Manuel de la Cruz García and has published in prestigious journals such as Review of Scientific Instruments, Applied Soft Computing and Engineering Fracture Mechanics.

In The Last Decade

R. Moreno

19 papers receiving 388 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
R. Moreno	187	129	90	78	53	19	422
A. Pereira	177 0.9×	119 0.9×	83 0.9×	54 0.7×	92 1.7×	50	459
G. Vagliasindi	191 1.0×	96 0.7×	92 1.0×	51 0.7×	82 1.5×	33	404
Malachi Schram	162 0.9×	53 0.4×	73 0.8×	34 0.4×	48 0.9×	42	388
Shuo Wang	215 1.1×	65 0.5×	74 0.8×	62 0.8×	19 0.4×	48	389
Yu Bai	37 0.2×	38 0.3×	259 2.9×	89 1.1×	66 1.2×	32	464
Jianxin Feng	40 0.2×	63 0.5×	51 0.6×	18 0.2×	46 0.9×	39	405
Danilo Nicola Dongiovanni	85 0.5×	88 0.7×	160 1.8×	203 2.6×	20 0.4×	41	417
Chia-Ming Wang	39 0.2×	200 1.6×	19 0.2×	7 0.1×	18 0.3×	12	450
Patrick McDaniel	18 0.1×	73 0.6×	68 0.8×	44 0.6×	39 0.7×	30	394
Sandeep Madireddy	45 0.2×	65 0.5×	28 0.3×	17 0.2×	57 1.1×	36	400

Countries citing papers authored by R. Moreno

Since Specialization

Citations

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

Fields of papers citing papers by R. Moreno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Moreno

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

All Works

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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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