Nam Tran

499 total citations
19 papers, 229 citations indexed

About

Nam Tran is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Nam Tran has authored 19 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nam Tran's work include Logic, Reasoning, and Knowledge (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Semantic Web and Ontologies (7 papers). Nam Tran is often cited by papers focused on Logic, Reasoning, and Knowledge (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Semantic Web and Ontologies (7 papers). Nam Tran collaborates with scholars based in United States, Canada and Australia. Nam Tran's co-authors include Chitta Baral, Michael Krauthammer, Michael E. Berens, Ruth Halaban, Tran Cao Son, Sheila A. McIlraith, Shuangge Ma, Elaine Cheng, Annette M. Molinaro and Mattia Pelizzola and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Medical Genomics.

In The Last Decade

Nam Tran

16 papers receiving 215 citations

Peers

Nam Tran
Comparison fields: 5 of 47
  • Artificial Intelligence 123
  • Molecular Biology 116
  • Computational Theory and Mathematics 19
  • Oncology 15
  • Computer Networks and Communications 13
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Citations per field, relative to Nam Tran
Nam Tran · 1×
Citations per year, relative to Nam Tran
Nam Tran · 1×

Countries citing papers authored by Nam Tran

Since Specialization
Citations

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

Fields of papers citing papers by Nam Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Tran

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 14
2 50
3
Embedding the guideline elements model in web ontology language.
4
4
Enriching PubMed related article search with sentence level co-citations.
5
5 12
6
Mapping terms to UMLS concepts of the same semantic type.
2
7 3
8 19
9
Reasoning and hypothesizing about signaling networks
4
10 0
11
Issues in reasoning about interaction networks in cells: necessity of event ordering knowledge
10
12 12
13 0
14 0
15
Encoding probabilistic causal model in probabilistic action language
5
16
Reasoning about triggered actions in AnsProlog and its application to molecular interactions in cells
14
17 40
18 23
19
The human transcription factor CP2 (TFCP2), a component of the human gamma-globin stage selector protein, maps to chromosome region 12q13 and is within 250 kb of the NF-E2 gene.
12

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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