G. Mora

83 total papers · 685 total citations
58 papers, 465 citations indexed

About

G. Mora is a scholar working on Applied Mathematics, Mathematical Physics and Geometry and Topology. According to data from OpenAlex, G. Mora has authored 58 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Mathematics, 19 papers in Mathematical Physics and 15 papers in Geometry and Topology. Recurrent topics in G. Mora's work include Mathematical Dynamics and Fractals (13 papers), Analytic Number Theory Research (10 papers) and Advanced Optimization Algorithms Research (8 papers). G. Mora is often cited by papers focused on Mathematical Dynamics and Fractals (13 papers), Analytic Number Theory Research (10 papers) and Advanced Optimization Algorithms Research (8 papers). G. Mora collaborates with scholars based in Spain, France and Paraguay. G. Mora's co-authors include Y. Cherruault, Antonio Giménez‐Morera, Jesús Rodrigo‐Comino, Artemi Cerdà, Enric Terol, José Flich, J. Duato, Pedro J. García, Pedro López and Olav Lysne and has published in prestigious journals such as Fuzzy Sets and Systems, Journal of Mathematical Analysis and Applications and Computers & Mathematics with Applications.

In The Last Decade

G. Mora

49 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
G. Mora	125	119	101	100	89	58	465
G. M. Petersen	161 1.3×	97 0.8×	102 1.0×	103 1.0×	105 1.2×	58	489
Roman Wituła	79 0.6×	71 0.6×	71 0.7×	41 0.4×	121 1.4×	79	484
Silvia Noschese	92 0.7×	175 1.5×	92 0.9×	29 0.3×	84 0.9×	39	424
Fasma Diele	33 0.3×	147 1.2×	23 0.2×	26 0.3×	175 2.0×	49	479
Vasile I. Istrăţescu	174 1.4×	153 1.3×	120 1.2×	175 1.8×	41 0.5×	27	508
Alfonso Vignoli	229 1.8×	247 2.1×	178 1.8×	173 1.7×	102 1.1×	31	538
Mohammad Sajid	69 0.6×	67 0.6×	120 1.2×	91 0.9×	49 0.6×	99	537
F. T. Metcalf	211 1.7×	229 1.9×	116 1.1×	211 2.1×	100 1.1×	35	516
Genrich Belitskii	90 0.7×	88 0.7×	156 1.5×	232 2.3×	55 0.6×	34	419
E. R. Love	243 1.9×	41 0.3×	86 0.9×	51 0.5×	88 1.0×	50	440

Countries citing papers authored by G. Mora

Since Specialization

Citations

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

Fields of papers citing papers by G. Mora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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