Víctor Maojo

37 total papers · 839 total citations
21 papers, 486 citations indexed

About

Víctor Maojo is a scholar working on Molecular Biology, Biomedical Engineering and Health Information Management. According to data from OpenAlex, Víctor Maojo has authored 21 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Health Information Management. Recurrent topics in Víctor Maojo's work include Electronic Health Records Systems (6 papers), Biomedical and Engineering Education (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Víctor Maojo is often cited by papers focused on Electronic Health Records Systems (6 papers), Biomedical and Engineering Education (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Víctor Maojo collaborates with scholars based in Spain, United States and Japan. Víctor Maojo's co-authors include Francisco J. Nóvoa, Alejandro Pazos, José Liñares-Blanco, Adrián Carballal, Francisco Cedrón, Nereida Rodríguez-Fernández, Carlos Fernández-Lozano, Álvaro García Sánchez, Miguel García-Remesal and Raúl Alonso-Calvo and has published in prestigious journals such as Applied Sciences, Image and Vision Computing and Journal of Medical Systems.

In The Last Decade

Víctor Maojo

21 papers receiving 454 citations

Hit Papers

A review on machine learn... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Víctor Maojo 176 168 48 46 44 21 486
Ruchi Mittal 74 0.4× 63 0.4× 18 0.4× 24 0.5× 12 0.3× 55 479
Bei Yang 86 0.5× 134 0.8× 19 0.4× 18 0.4× 13 0.3× 35 486
Nic Fleming 114 0.6× 104 0.6× 17 0.4× 43 0.9× 28 0.6× 44 470
Zhaoxian Zhou 131 0.7× 93 0.6× 20 0.4× 26 0.6× 23 0.5× 35 405
Gamage Upeksha Ganegoda 30 0.2× 161 1.0× 61 1.3× 6 0.1× 32 0.7× 43 483
Fiona Browne 75 0.4× 265 1.6× 9 0.2× 12 0.3× 16 0.4× 39 501
Haodong Yang 97 0.6× 108 0.6× 15 0.3× 16 0.3× 4 0.1× 27 423
Nereida Rodríguez-Fernández 173 1.0× 126 0.8× 4 0.1× 45 1.0× 21 0.5× 16 509
Yunqiu Li 18 0.1× 97 0.6× 21 0.4× 34 0.7× 31 0.7× 59 492
Chanchala Kaddi 53 0.3× 174 1.0× 95 2.0× 12 0.3× 67 1.5× 33 541

Countries citing papers authored by Víctor Maojo

Since Specialization
Citations

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

Fields of papers citing papers by Víctor Maojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Víctor Maojo

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