Nguyen Vo

47 total papers · 565 total citations
20 papers, 252 citations indexed

About

Nguyen Vo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nguyen Vo has authored 20 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nguyen Vo's work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (5 papers). Nguyen Vo is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (5 papers). Nguyen Vo collaborates with scholars based in United States, Australia and Switzerland. Nguyen Vo's co-authors include Kyumin Lee, Chitta Baral, Yonggwan Won, Luis Tari, Shanshan Liang, Graciela Gonzalez‐Hernandez, Regina M. Sullivan, James J. Cai, Jagruti Patel and Charles Miller and has published in prestigious journals such as PLoS ONE, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Figshare.

In The Last Decade

Nguyen Vo

19 papers receiving 234 citations

Author Peers

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

Author						Papers	Cites
Nguyen Vo	163	108	91	40	21	20	252
Rabia Batool	197 1.2×	47 0.4×	117 1.3×	12 0.3×	16 0.8×	19	298
ChengXiang Zhai	117 0.7×	30 0.3×	137 1.5×	69 1.7×	45 2.1×	11	283
Tim Gollub	194 1.2×	58 0.5×	102 1.1×	9 0.2×	9 0.4×	19	269
Xuning Tang	123 0.8×	114 1.1×	103 1.1×	19 0.5×	117 5.6×	31	326
Shohedul Hasan	181 1.1×	84 0.8×	68 0.7×	25 0.6×	16 0.8×	14	264
Indrajit Bhattacharya	213 1.3×	36 0.3×	81 0.9×	10 0.3×	14 0.7×	26	295
Lynda Tamine	187 1.1×	24 0.2×	155 1.7×	49 1.2×	19 0.9×	45	326
Yih-Farn Robin Chen	99 0.6×	37 0.3×	100 1.1×	23 0.6×	29 1.4×	11	265
Michał Łukasik	175 1.1×	185 1.7×	97 1.1×	19 0.5×	92 4.4×	15	313
Simon Andrews	104 0.6×	34 0.3×	87 1.0×	30 0.8×	15 0.7×	29	226

Countries citing papers authored by Nguyen Vo

Since Specialization

Citations

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

Fields of papers citing papers by Nguyen Vo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nguyen Vo

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