Juan Bernabé-Moreno

76 total papers · 762 total citations
31 papers, 464 citations indexed

About

Juan Bernabé-Moreno is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Juan Bernabé-Moreno has authored 31 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Juan Bernabé-Moreno's work include Recommender Systems and Techniques (10 papers), Advanced Text Analysis Techniques (5 papers) and Complex Network Analysis Techniques (4 papers). Juan Bernabé-Moreno is often cited by papers focused on Recommender Systems and Techniques (10 papers), Advanced Text Analysis Techniques (5 papers) and Complex Network Analysis Techniques (4 papers). Juan Bernabé-Moreno collaborates with scholars based in Spain, Japan and United States. Juan Bernabé-Moreno's co-authors include Enrique Herrera‐Viedma, Carlos Porcel, Álvaro Tejeda-Lorente, Carmen Martínez-Cruz, Hamido Fujita, G. Cortiana, Martin Fischer, Ram Rajagopal, Pablo Galindo‐Moreno and Christian B. Mendl and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Information Sciences.

In The Last Decade

Juan Bernabé-Moreno

30 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Bernabé-Moreno 224 220 69 66 57 31 464
Bharat Bhasker 189 0.8× 238 1.1× 52 0.8× 86 1.3× 56 1.0× 40 458
Matevž Kunaver 153 0.7× 297 1.4× 73 1.1× 69 1.0× 77 1.4× 17 447
Fernando Mourão 273 1.2× 256 1.2× 46 0.7× 60 0.9× 61 1.1× 48 506
Mengting Wan 294 1.3× 239 1.1× 71 1.0× 47 0.7× 66 1.2× 34 521
Tim Donkers 288 1.3× 300 1.4× 70 1.0× 48 0.7× 92 1.6× 19 462
Fernando Díez 154 0.7× 346 1.6× 89 1.3× 47 0.7× 96 1.7× 33 459
Luiz Pizzato 217 1.0× 300 1.4× 121 1.8× 75 1.1× 63 1.1× 22 502
Maryam Khanian Najafabadi 161 0.7× 296 1.3× 49 0.7× 70 1.1× 63 1.1× 22 500
Ahmad Baraani-Dastjerdi 255 1.1× 167 0.8× 68 1.0× 75 1.1× 31 0.5× 52 540
Chin‐Hui Lai 153 0.7× 315 1.4× 37 0.5× 74 1.1× 83 1.5× 26 503

Countries citing papers authored by Juan Bernabé-Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Juan Bernabé-Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Bernabé-Moreno. 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 Juan Bernabé-Moreno. The network helps show where Juan Bernabé-Moreno may publish in the future.

Co-authorship network of co-authors of Juan Bernabé-Moreno

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Bernabé-Moreno. A scholar is included among the top collaborators of Juan Bernabé-Moreno 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 Juan Bernabé-Moreno. Juan Bernabé-Moreno 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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