G. Rasines

16 total papers · 690 total citations
15 papers, 616 citations indexed

About

G. Rasines is a scholar working on Electronic, Optical and Magnetic Materials, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, G. Rasines has authored 15 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electronic, Optical and Magnetic Materials, 12 papers in Biomedical Engineering and 6 papers in Spectroscopy. Recurrent topics in G. Rasines's work include Supercapacitor Materials and Fabrication (14 papers), Membrane-based Ion Separation Techniques (11 papers) and Aerogels and thermal insulation (6 papers). G. Rasines is often cited by papers focused on Supercapacitor Materials and Fabrication (14 papers), Membrane-based Ion Separation Techniques (11 papers) and Aerogels and thermal insulation (6 papers). G. Rasines collaborates with scholars based in Spain, United States and France. G. Rasines's co-authors include C. Macías, Conchi O. Ania, José L. Tirado, Pedro Lavela, M.C. Zafra, Marta Haro, J.B. Parra, Jacek Jagiełło, Tomás García and T.E. García and has published in prestigious journals such as Carbon, Electrochimica Acta and ACS Sustainable Chemistry & Engineering.

In The Last Decade

G. Rasines

15 papers receiving 609 citations

Author Peers

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

Author						Papers	Cites
G. Rasines	399	304	278	242	119	15	616
C. Macías	408 1.0×	337 1.1×	278 1.0×	246 1.0×	119 1.0×	17	661
Lei E	172 0.4×	280 0.9×	81 0.3×	451 1.9×	153 1.3×	15	608
Liang Luo	338 0.8×	353 1.2×	235 0.8×	64 0.3×	26 0.2×	27	660
Deepa Sriramulu	234 0.6×	176 0.6×	130 0.5×	36 0.1×	53 0.4×	14	530
Shizhan Feng	148 0.4×	309 1.0×	109 0.4×	121 0.5×	19 0.2×	15	504
Soon Wei Chook	294 0.7×	142 0.5×	78 0.3×	90 0.4×	48 0.4×	17	665
Lixia Li	334 0.8×	269 0.9×	263 0.9×	88 0.4×	11 0.1×	17	541
İ. Işıl Gürten İnal	98 0.2×	299 1.0×	80 0.3×	446 1.8×	31 0.3×	13	574
Qi‐Qi Zhuang	146 0.4×	361 1.2×	56 0.2×	497 2.1×	29 0.2×	18	643
Zai-Dong Shao	145 0.4×	61 0.2×	128 0.5×	69 0.3×	269 2.3×	23	617

Countries citing papers authored by G. Rasines

Since Specialization

Citations

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

Fields of papers citing papers by G. Rasines

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Rasines

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