Marta Rey-López

23 total papers · 698 total citations
16 papers, 444 citations indexed

About

Marta Rey-López is a scholar working on Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marta Rey-López has authored 16 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Sociology and Political Science and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marta Rey-López's work include Multimedia Communication and Technology (8 papers), Video Analysis and Summarization (8 papers) and Recommender Systems and Techniques (7 papers). Marta Rey-López is often cited by papers focused on Multimedia Communication and Technology (8 papers), Video Analysis and Summarization (8 papers) and Recommender Systems and Techniques (7 papers). Marta Rey-López collaborates with scholars based in Spain, United States and Australia. Marta Rey-López's co-authors include Ana Belén Barragáns Martínez, Enrique Costa‐Montenegro, Fernando A. Mikic-Fonte, Juan C. Burguillo, Ana Peleteiro, Ana Fernández Vilas, Rebeca P. Dı́az Redondo, José J. Pazos‐Arias, Alberto Gil‐Solla and Manuel Ramos‐Cabrer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Marta Rey-López

16 papers receiving 415 citations

Author Peers

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

Author Last Decade Papers Cites
Marta Rey-López 324 132 117 116 82 16 444
Ana Peleteiro 280 0.9× 109 0.8× 125 1.1× 99 0.9× 64 0.8× 18 422
Simon Dooms 355 1.1× 125 0.9× 62 0.5× 156 1.3× 72 0.9× 25 424
Miquel Montaner 355 1.1× 133 1.0× 100 0.9× 175 1.5× 70 0.9× 8 474
Anna Maclachlan 354 1.1× 127 1.0× 66 0.6× 175 1.5× 70 0.9× 8 478
Matevž Kunaver 297 0.9× 77 0.6× 69 0.6× 153 1.3× 40 0.5× 17 447
Dmitry Pavlov 254 0.8× 95 0.7× 56 0.5× 251 2.2× 55 0.7× 16 489
Fernando Díez 346 1.1× 96 0.7× 47 0.4× 154 1.3× 63 0.8× 33 459
Wan Shiou Yang 257 0.8× 73 0.6× 113 1.0× 104 0.9× 92 1.1× 15 446
Maya Haridasan 168 0.5× 105 0.8× 50 0.4× 95 0.8× 199 2.4× 15 479
Kumaripaba Athukorala 259 0.8× 112 0.8× 39 0.3× 180 1.6× 57 0.7× 23 488

Countries citing papers authored by Marta Rey-López

Since Specialization
Citations

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

Fields of papers citing papers by Marta Rey-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Rey-López. 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 Marta Rey-López. The network helps show where Marta Rey-López may publish in the future.

Co-authorship network of co-authors of Marta Rey-López

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Rey-López. A scholar is included among the top collaborators of Marta Rey-López 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 Marta Rey-López. Marta Rey-López 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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