Stephen J. Barigye

1.4k citations
78 papers · 1.1k indexed · h-index 19
Topics
Computational Drug Discovery Methods (53 papers)Analytical Chemistry and Chromatography (11 papers)Machine Learning in Materials Science (11 papers)
Partner nations
SpainCubaBrazil

In The Last Decade

Stephen J. Barigye

77 papers receiving 1.0k citations

Peers

Stephen J. Barigye
Comparison fields: 5 of 112
  • Computational Theory and Mathematics 636
  • Molecular Biology 477
  • Organic Chemistry 197
  • Spectroscopy 181
  • Materials Chemistry 169
Replace Juan A. Castillo‐Garit with:
Juan A. Castillo‐Garit Spain
Facundo Pérez‐Giménez Spain
Maykel Pérez González Cuba
Weifan Zheng United States
Veerabahu Shanmugasundaram United States
Francisco Prado-Prado Spain
Marta Teijeira Spain
Emanuela Gancia Italy
Rafael Gozalbes Spain
Anna Linusson Sweden
Stephen J. Barigye relative to Juan A. Castillo‐Garit Spain Juan A. Castillo‐Garit's profile →
Citations per field
00.5×2.8×
Juan A. Castillo‐Garit · 1×
Citations per year

Countries citing papers authored by Stephen J. Barigye

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Barigye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Barigye. 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 Stephen J. Barigye. The network helps show where Stephen J. Barigye may publish in the future.

Co-authorship network of co-authors of Stephen J. Barigye

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Barigye. A scholar is included among the top collaborators of Stephen J. Barigye 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 Stephen J. Barigye. Stephen J. Barigye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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About Stephen J. Barigye

Stephen J. Barigye is a scholar working on Computational Theory and Mathematics, Spectroscopy and Physical and Theoretical Chemistry, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (53 papers), Analytical Chemistry and Chromatography (11 papers) and Machine Learning in Materials Science (11 papers). The work is most often cited by research in Computational Theory and Mathematics (636 citations), Spectroscopy (181 citations) and Microbiology (51 citations). Stephen J. Barigye has collaborated with scholars based in Spain, Cuba and Brazil. Frequent co-authors include Yovani Marrero‐Ponce, César R. García‐Jacas, Matheus P. Freitas, Facundo Pérez‐Giménez, Francisco Torrens, Juan A. Castillo‐Garit, Hai Pham‐The, Rafael Gozalbes, Gerardo M. Casañola‐Martín and Huong Le‐Thi‐Thu. Their work appears in journals such as Bioinformatics, Scientific Reports and Chemosphere.

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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