María Manzano

154 total papers · 934 total citations
57 papers, 571 citations indexed

About

María Manzano is a scholar working on Language and Linguistics, Artificial Intelligence and Education. According to data from OpenAlex, María Manzano has authored 57 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Language and Linguistics, 13 papers in Artificial Intelligence and 11 papers in Education. Recurrent topics in María Manzano's work include Logic, programming, and type systems (10 papers), Second Language Acquisition and Learning (9 papers) and Logic, Reasoning, and Knowledge (8 papers). María Manzano is often cited by papers focused on Logic, programming, and type systems (10 papers), Second Language Acquisition and Learning (9 papers) and Logic, Reasoning, and Knowledge (8 papers). María Manzano collaborates with scholars based in Spain, Denmark and Portugal. María Manzano's co-authors include Carolina García‐Martos, Julio Rodríguez, Daniel Peña, Andrés M. Alonso, Pablo Solana, Ruy J. G. B. de Queiroz, José Mira, María Antonia Huertas Sánchez, Patrick Blackburn and Carlos Areces and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and Applied Energy.

In The Last Decade

María Manzano

46 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
María Manzano	217	153	141	78	70	57	571
Fátima Rodrigues	289 1.3×	158 1.0×	30 0.2×	125 1.6×	19 0.3×	48	642
Hélder Coelho	112 0.5×	280 1.8×	31 0.2×	112 1.4×	43 0.6×	87	531
Germán G. Creamer	143 0.7×	142 0.9×	244 1.7×	215 2.8×	7 0.1×	51	650
Guilherme Palermo Coelho	46 0.2×	230 1.5×	40 0.3×	99 1.3×	43 0.6×	46	538
Fenghui Ren	207 1.0×	197 1.3×	13 0.1×	112 1.4×	34 0.5×	60	591
Lei Wang	115 0.5×	129 0.8×	33 0.2×	237 3.0×	67 1.0×	40	541
Chonghuan Xu	39 0.2×	178 1.2×	46 0.3×	16 0.2×	23 0.3×	42	657
George G. Lendaris	121 0.6×	254 1.7×	26 0.2×	87 1.1×	206 2.9×	52	665
Weiyi Liu	39 0.2×	57 0.4×	219 1.6×	87 1.1×	18 0.3×	62	543
Ali Altalbe	109 0.5×	75 0.5×	45 0.3×	67 0.9×	3 0.0×	63	611

Countries citing papers authored by María Manzano

Since Specialization

Citations

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

Fields of papers citing papers by María Manzano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Manzano

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