Manuel Noguera

127 total papers · 1.8k total citations
63 papers, 759 citations indexed

About

Manuel Noguera is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Manuel Noguera has authored 63 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 20 papers in Artificial Intelligence and 14 papers in Management Information Systems. Recurrent topics in Manuel Noguera's work include Service-Oriented Architecture and Web Services (23 papers), Business Process Modeling and Analysis (14 papers) and Advanced Software Engineering Methodologies (11 papers). Manuel Noguera is often cited by papers focused on Service-Oriented Architecture and Web Services (23 papers), Business Process Modeling and Analysis (14 papers) and Advanced Software Engineering Methodologies (11 papers). Manuel Noguera collaborates with scholars based in Spain, United States and Cuba. Manuel Noguera's co-authors include María Visitación Hurtado, José Luis García Garrido, Kawtar Benghazi, María Isabel Hernández‐Álvarez, Juan Pablo Muñoz, António Zorzano, Manuel Palacı́n, Paula Martínez-Cristóbal, Angels Díaz‐Ramos and Caroline Mauvezin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and IEEE Access.

In The Last Decade

Manuel Noguera

59 papers receiving 744 citations

Author Peers

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

Author						Papers	Cites
Manuel Noguera	296	171	138	136	102	63	759
Xiao Wang	245 0.8×	77 0.5×	36 0.3×	201 1.5×	55 0.5×	33	841
Jui-Chien Hsieh	115 0.4×	33 0.2×	38 0.3×	31 0.2×	85 0.8×	34	689
Tingting Bi	184 0.6×	15 0.1×	22 0.2×	191 1.4×	102 1.0×	55	686
Ian Robinson	150 0.5×	11 0.1×	41 0.3×	118 0.9×	144 1.4×	26	794
Xia Liu	164 0.6×	17 0.1×	64 0.5×	74 0.5×	95 0.9×	100	832
Chao‐Yuan Chang	173 0.6×	82 0.5×	26 0.2×	283 2.1×	151 1.5×	35	748
Daniel Karlsson	357 1.2×	37 0.2×	13 0.1×	57 0.4×	146 1.4×	54	734
Shushma Patel	82 0.3×	24 0.1×	13 0.1×	74 0.5×	408 4.0×	49	813
Xiaoyu Yang	395 1.3×	265 1.5×	20 0.1×	109 0.8×	37 0.4×	46	798
Christian Bunse	145 0.5×	18 0.1×	15 0.1×	495 3.6×	218 2.1×	53	839

Countries citing papers authored by Manuel Noguera

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Noguera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Noguera

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