Danny Poo

470 citations
34 papers · 288 · h-index 9

Impact in

Papers in

    • Information Retrieval and Search Behavior 8
    • Service-Oriented Architecture and Web Services 6
    • Software Engineering Research 6
    • Software Engineering Techniques and Practices 4
    • Semantic Web and Ontologies 8
    • Advanced Text Analysis Techniques 5

Danny Poo

32 papers receiving 260 citations

Peers

Danny Poo
Comparison fields: 5 of 71
  • Information Systems and Management 62
  • Communication 57
  • Library and Information Sciences 11
  • Information Systems 115
  • Management Information Systems 33
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Ann O’Brien United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Danny Poo

Since Specialization
Citations

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

Fields of papers citing papers by Danny Poo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Danny Poo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danny Poo Line = papers co-authored together Danny Poo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201178
2 200335
3
Factors Affecting 3G Adoption: An Empirical Study
200725
4 201423
5 201319
6 200813
7 200711
8 199210
9
Impediments to Sharing Knowledge Outside the School: Lessons Learnt from the Development of a Taxonomic E-Learning Portal
20079
10 20067
11 19947
12 20056
13 20115
14 19985
15 20094
16 20034
17 19953
18 19983
19 19922
20 19982

About Danny Poo

Danny Poo is a scholar working on Information Systems, Artificial Intelligence, Communication, Computer Networks and Communications and Management Information Systems, having authored 34 papers that have together received 288 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (8 papers), Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (6 papers), Software Engineering Research (6 papers), Knowledge Management and Sharing (5 papers), Advanced Text Analysis Techniques (5 papers), Software Engineering Techniques and Practices (4 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Information Systems and Management (62 citations), Communication (57 citations), Library and Information Sciences (11 citations), Information Systems (115 citations) and Management Information Systems (33 citations). Danny Poo has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Naresh Kumar Agarwal, Yunjie Xu, Christopher S. G. Khoo, Zhen Wang, Paul Layzell, Min‐Yen Kan, Hock Chuan Chan and Klarissa Chang. Their work appears in journals such as Journal of Systems and Software, Journal of the Association for Information Systems, Proceedings of the VLDB Endowment, Information and Software Technology and Journal of Biomedical Informatics.

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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