Universidad Central "Marta Abreu" de las Villas (UCLV)
Impact in
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- Computational Drug Discovery Methods
- Building and Construction top 5%
- Recycling and utilization of industrial and municipal waste in materials production
- Recycled Aggregate Concrete Performance
Papers in
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- Plant and soil sciences 143
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- Computational Drug Discovery Methods 217
- Rough Sets and Fuzzy Logic 94
- Top scholars
- Karen Louise ScrivenerFernando MartirenaYovani Marrero‐PonceRafael BelloErnesto EstradaHumberto González‐DíazMaykel Pérez GonzálezRodrigo Pérez Fernández
In The Last Decade
Universidad Central "Marta Abreu" de las Villas (UCLV)
2.8k papers receiving 38.2k citations
Peers
Comparison fields: 5 of 243
- Computational Theory and Mathematics 6.4k
- Building and Construction 4.3k
- Civil and Structural Engineering 6.7k
- Molecular Biology 7.1k
- Artificial Intelligence 3.4k
Countries citing scholars working at Universidad Central "Marta Abreu" de las Villas (UCLV)
This map shows the geographic impact of research produced by authors working at Universidad Central "Marta Abreu" de las Villas (UCLV). 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 papers produced at Universidad Central "Marta Abreu" de las Villas (UCLV) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universidad Central "Marta Abreu" de las Villas (UCLV) more than expected).
Fields of papers published by authors at Universidad Central "Marta Abreu" de las Villas (UCLV)
This network shows the impact of papers affiliated with Universidad Central "Marta Abreu" de las Villas (UCLV) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Universidad Central "Marta Abreu" de las Villas (UCLV) at the time of their publication.
About Universidad Central "Marta Abreu" de las Villas (UCLV)
In recent decades, authors affiliated with Universidad Central "Marta Abreu" de las Villas (UCLV) have published 3.5k papers, which have received a total of 40.2k indexed citations . Scholars at this organization have produced 184 papers in General Agricultural and Biological Sciences, 342 papers in Computational Theory and Mathematics, 12 papers in Life-span and Life-course Studies, 34 papers in General Social Sciences and 10 papers in Horticulture on the topics of Computational Drug Discovery Methods (217 papers), Plant and soil sciences (143 papers), Plant tissue culture and regeneration (143 papers), Concrete and Cement Materials Research (99 papers), Business, Innovation, and Economy (98 papers), Rough Sets and Fuzzy Logic (94 papers), Banana Cultivation and Research (85 papers) and Business, Education, Mathematics Research (77 papers). Their work is cited by papers focused on Computational Theory and Mathematics (6.4k citations), Building and Construction (4.3k citations), Civil and Structural Engineering (6.7k citations), Molecular Biology (7.1k citations) and Artificial Intelligence (3.4k citations). Authors at Universidad Central "Marta Abreu" de las Villas (UCLV) collaborate with scholars in Cuba, Spain and Belgium and have published in prestigious journals including Bioorganic & Medicinal Chemistry, Rilem bookseries, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and Lecture notes in computer science. Some of Universidad Central "Marta Abreu" de las Villas (UCLV)'s most productive authors include Karen Louise Scrivener, Fernando Martirena, Yovani Marrero‐Ponce, Rafael Bello, Ernesto Estrada, Humberto González‐Díaz, Maykel Pérez González, Rodrigo Pérez Fernández, Ernesto Villar-Cociña and Miguel Ángel Cabrera‐Pérez.
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.