Pilar Merchán

90 total papers · 462 total citations
40 papers, 275 citations indexed

About

Pilar Merchán is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering. According to data from OpenAlex, Pilar Merchán has authored 40 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Geology and 9 papers in Aerospace Engineering. Recurrent topics in Pilar Merchán's work include 3D Surveying and Cultural Heritage (18 papers), Advanced Vision and Imaging (10 papers) and Robotics and Sensor-Based Localization (9 papers). Pilar Merchán is often cited by papers focused on 3D Surveying and Cultural Heritage (18 papers), Advanced Vision and Imaging (10 papers) and Robotics and Sensor-Based Localization (9 papers). Pilar Merchán collaborates with scholars based in Spain and Slovakia. Pilar Merchán's co-authors include Antonio Adán, Emiliano Pérez, Ivo Petráš, Blas M. Vinagre, Ľ. Dorčák, Carlos Cerrada, Iván García, Andrés S. Vázquez, Mario Corrales Serrano and Juan M. Carrillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Renewable Energy.

In The Last Decade

Pilar Merchán

34 papers receiving 262 citations

Author Peers

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

Author						Papers	Cites
Pilar Merchán	112	94	52	46	32	40	275
Pedro Santos	176 1.6×	103 1.1×	19 0.4×	33 0.7×	25 0.8×	53	296
Marco Andreetto	174 1.6×	52 0.6×	26 0.5×	71 1.5×	29 0.9×	24	269
Daniël Pletinckx	168 1.5×	127 1.4×	40 0.8×	24 0.5×	45 1.4×	30	313
Zhaoxin Fan	196 1.8×	66 0.7×	75 1.4×	107 2.3×	52 1.6×	34	329
Abd El Rahman Shabayek	154 1.4×	20 0.2×	19 0.4×	67 1.5×	47 1.5×	31	299
Yohan Fougerolle	142 1.3×	39 0.4×	15 0.3×	90 2.0×	46 1.4×	32	248
Gerasimos Arvanitis	95 0.8×	50 0.5×	10 0.2×	27 0.6×	100 3.1×	42	242
Valeria Garro	154 1.4×	48 0.5×	4 0.1×	71 1.5×	29 0.9×	25	219
Rolf Lakaemper	230 2.1×	73 0.8×	12 0.2×	171 3.7×	10 0.3×	37	331
Marc Daniel	54 0.5×	30 0.3×	13 0.3×	20 0.4×	121 3.8×	23	227

Countries citing papers authored by Pilar Merchán

Since Specialization

Citations

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

Fields of papers citing papers by Pilar Merchán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pilar Merchán

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