Daniel C. Berrios

1.0k citations
31 papers · 532 indexed · h-index 12
Topics
Spaceflight effects on biology (9 papers)Semantic Web and Ontologies (9 papers)Biomedical Text Mining and Ontologies (7 papers)

In The Last Decade

Daniel C. Berrios

29 papers receiving 487 citations

Peers

Daniel C. Berrios
Comparison fields: 5 of 101
  • Physiology 168
  • Health 120
  • Molecular Biology 118
  • Artificial Intelligence 76
  • Sociology and Political Science 65
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Countries citing papers authored by Daniel C. Berrios

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Berrios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Berrios. 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 Daniel C. Berrios. The network helps show where Daniel C. Berrios may publish in the future.

Co-authorship network of co-authors of Daniel C. Berrios

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Berrios. A scholar is included among the top collaborators of Daniel C. Berrios 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 Daniel C. Berrios. Daniel C. Berrios 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
1 4
2 2
3 13
4 32
5 24
6 3
7 1
8
Semantic Integration of Heterogeneous NASA Mission Data Sources.
1
9
NASA's Mobile Agents Architecture: A Multi-Agent Workflow and Communication System for Planetary Exploration
9
10 38
11
Developing A Web-based User Interface for Semantic Information Retrieval
0
12 17
13
Information Retrieval Using UMLS-based Structured Queries.
1
14
Methods For Semi-Automated Index Generation For High Precision Information Retrieval
1
15
Automated indexing for full text information retrieval.
15
16
Knowledge requirements for automated inference of medical textbook markup.
11
17
Automated Text Markup for Information Retrieval from an Electronic Textbook of Infectious Disease
5
18
MYCIN II: design and implementation of a therapy reference with complex content-based indexing.
7
19 44
20
Domestic violence. Risk factors and outcomes.
138

About Daniel C. Berrios

Daniel C. Berrios is a scholar working on Aging, Health, Toxicology and Mutagenesis and Physiology, having authored 31 papers that have together received 532 indexed citations. Recurring topics across this work include Spaceflight effects on biology (9 papers), Semantic Web and Ontologies (9 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Aging (48 citations), Health (120 citations) and Physiology (168 citations). Daniel C. Berrios has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Sylvain V. Costes, Samrawit Gebre, Jonathan M. Galazka, Afshin Beheshti, Homer Fogle, Shayoni Ray, Kirill Grigorev, Lawrence M. Fagan, Peter Tran and Youngmi Kim Pak. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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